From 2e81cbb34f2e89ad86c682a74e20e330a8fba022 Mon Sep 17 00:00:00 2001
From: FireHorse <FireHorse@example.com>
Date: Wed, 8 Apr 2026 18:13:02 +1000
Subject: [PATCH] Initial commit: pre match-history refactor

---
 README.txt                                    |    157 +
 __init__.py                                   |      0
 __pycache__/match_engine.cpython-313.pyc      |    Bin 0 -> 8330 bytes
 __pycache__/rankings.cpython-313.pyc          |    Bin 0 -> 4739 bytes
 __pycache__/storylines.cpython-313.pyc        |    Bin 0 -> 6904 bytes
 __pycache__/team_identity.cpython-313.pyc     |    Bin 0 -> 6185 bytes
 analysis/rankings.py                          |     82 +
 analysis/rankings1.py                         |     38 +
 analysis/storylines.py                        |     54 +
 analysis/storylines1.py                       |     29 +
 analysis/team_identity.py                     |     77 +
 analysis/team_identity1.py                    |     46 +
 career_stats.json                             | 111535 +++++++++++++++
 config.json                                   |     49 +
 dashleague_cast_tool.py                       |    829 +
 data/__init__.py                              |      0
 data/__pycache__/__init__.cpython-313.pyc     |    Bin 0 -> 139 bytes
 data/__pycache__/career_db.cpython-313.pyc    |    Bin 0 -> 8517 bytes
 data/__pycache__/match_cache.cpython-313.pyc  |    Bin 0 -> 2034 bytes
 .../player_history.cpython-313.pyc            |    Bin 0 -> 4841 bytes
 data/__pycache__/season_cache.cpython-313.pyc |    Bin 0 -> 2059 bytes
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 tags/sharpshooter.py                          |     30 +
 tags/slayer.py                                |     36 +
 team_identity.py                              |    106 +
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diff --git a/README.txt b/README.txt
new file mode 100644
index 0000000..85b65e6
--- /dev/null
+++ b/README.txt
@@ -0,0 +1,157 @@
+DashLeague Casting Tool — README
+
+🎮 Caster Cheat Sheet (Quick Start)
+1. Sync Stats
+→ Press Sync Stats to pull the latest player data.
+2. Build Career Database
+→ Press Build Career Database
+→ Wait for Career DB: ✓ Loaded (green)
+3. Select Teams
+→ Choose Team A and Team B from dropdowns
+→ Optionally select specific players (or leave empty to auto‑select all)
+4. Generate Player Slots
+→ Press Generate Player Slots
+→ Wait for Player Slots: ✓ Ready (green)
+→ OBS now reads from –
+5. Export Predictions
+→ Button unlocks only when both ✓ are green
+→ Press Export Predictions
+→ Use  for graphs/overlays
+That’s it.
+This is the entire casting workflow.
+
+📘 Full Guide for First‑Time Users
+1. Overview
+The DashLeague Casting Tool is designed to:
+• 	Prepare player slot folders (p0–p9) for OBS overlays
+• 	Build and use a Career Database for advanced identity tags and predictions
+• 	Export match predictions to JSON for downstream visuals
+• 	Provide a caster‑friendly workflow with clear status indicators and safety prompts
+You’ll mainly interact with:
+• 	Toolbar buttons
+• 	Team selectors
+• 	Player lists
+• 	Generate Player Slots
+• 	Export Predictions
+
+2. Prerequisites & Setup
+Folder structure:
+• 	 — main script
+• 	 — generated by the tool
+• 	– — OBS‑ready text files
+• 	 — teams + player data
+Run the tool:
+
+
+3. UI Layout
+Top Toolbar
+• 	Sync Stats — refresh raw stats
+• 	Build Career Database — generate 
+• 	Player Spotlight — single‑player view
+• 	Team Identity — team style summary
+• 	Match Storyline — narrative hooks
+• 	Rankings — player rankings & percentiles
+Middle Section
+• 	Team A / Team B selectors
+• 	Player listboxes (multi‑select)
+Bottom Section
+• 	Generate Player Slots
+• 	Export Predictions (locked until ready)
+Status Indicators
+• 	Career DB: ❌ / ✓
+• 	Player Slots: ❌ / ✓
+• 	Status bar text (bottom)
+
+4. Recommended Workflow (Casting a Match)
+Step 1 — Sync Stats
+Click Sync Stats to refresh player data.
+
+Step 2 — Build Career Database
+Click Build Career Database.
+You should see:
+• 	Popup: “Career database has been built.”
+• 	Status: Career DB: ✓ Loaded
+This powers:
+• 	Identity tags
+• 	Slayer calculations
+• 	League averages
+
+Step 3 — Select Teams & Players
+1. 	Choose Team A and Team B
+2. 	Select players (or leave empty to auto‑select all)
+
+Step 4 — Generate Player Slots
+Click Generate Player Slots.
+The tool writes:
+• 	
+• 	
+• 	, , 
+• 	, 
+• 	, , etc.
+• 	 (from Career DB)
+• 	, , 
+You should see:
+• 	Popup: “Player slots generated into p0–p9.”
+• 	Status: Player Slots: ✓ Ready
+OBS now reads from these folders.
+
+Step 5 — Export Predictions
+Button unlocks only when:
+• 	Career DB: ✓ Loaded
+• 	Player Slots: ✓ Ready
+Click Export Predictions.
+This generates:
+
+Example:
+
+Use this for:
+• 	ASCII graphs
+• 	Overlay widgets
+• 	Automated visuals
+
+5. Feature Details
+Sync Stats
+Refreshes raw stats from your source.
+Build Career Database
+Creates  with:
+• 	Identity tags
+• 	League averages
+• 	Historical stats
+Generate Player Slots
+Creates OBS‑ready text files for each player.
+Export Predictions
+Creates machine‑readable predictions for visuals.
+Spotlight / Identity / Storyline / Rankings
+Caster‑support tools for:
+• 	Player deep dives
+• 	Team style summaries
+• 	Match narratives
+• 	Percentiles & rankings
+
+6. Status Indicators
+• 	Career DB: ❌ Not Loaded
+→ Build the DB first
+• 	Player Slots: ❌ Not Ready
+→ Generate slots
+• 	Export Predictions disabled
+→ One or both steps incomplete
+
+7. Quick Reference Workflow
+1. 	Sync Stats
+2. 	Build Career Database
+3. 	Select Team A / Team B
+4. 	Generate Player Slots
+5. 	Export Predictions
+6. 	Use  +  in OBS
+
+8. Troubleshooting
+Export button greyed out
+• 	Career DB must be ✓
+• 	Player Slots must be ✓
+Wrong players in OBS
+• 	Check team selection
+• 	Check listbox selection
+• 	Regenerate slots
+Empty predictions
+• 	Build Career DB first
+• 	Ensure player IDs match DB
\ No newline at end of file
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diff --git a/analysis/rankings.py b/analysis/rankings.py
new file mode 100644
index 0000000..131380d
--- /dev/null
+++ b/analysis/rankings.py
@@ -0,0 +1,82 @@
+import json
+import os
+from typing import List, Dict, Any
+
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+CAREER_DB_PATH = os.path.join(BASE_DIR, "career_stats.json")
+
+
+def load_career_db() -> Dict:
+    """Load career database with proper error handling."""
+    if not os.path.exists(CAREER_DB_PATH):
+        raise FileNotFoundError(f"Career database not found at: {CAREER_DB_PATH}\nPlease build it first from the GUI.")
+
+    try:
+        with open(CAREER_DB_PATH, "r", encoding="utf-8") as f:
+            return json.load(f)
+    except json.JSONDecodeError:
+        raise ValueError("Career database is corrupted. Please rebuild it.")
+    except Exception as e:
+        raise RuntimeError(f"Failed to load career database: {e}")
+
+
+def top_players_by_tag(
+    tag: str, 
+    players_only: List[Dict] = None, 
+    career_db: Dict = None,
+    limit: int = 10
+) -> List[Dict]:
+    """
+    Return top players for a given identity tag.
+    
+    If players_only is provided → only rank within current match lineup (recommended for GUI).
+    Otherwise → rank across entire career database.
+    """
+    if players_only is not None:
+        # Use only the current match players (live stats)
+        players = players_only[:]
+    else:
+        # Full career database
+        db = career_db or load_career_db()
+        players = list(db["players"].values())
+
+    if not players:
+        return []
+
+    # Filter players who have this tag
+    tagged_players = [
+        p for p in players 
+        if tag in p.get("identity_tags", [])
+    ]
+
+    if not tagged_players:
+        return []
+
+    # Define scoring function based on tag
+    def get_score(p: Dict) -> float:
+        norm = p.get("normalized", {})
+        career = p.get("career", {})
+
+        if tag == "Slayer":
+            return norm.get("slayer_index", 0)
+        elif tag == "Objective Specialist":
+            return norm.get("objective_index", 0)
+        elif tag == "Sharpshooter":
+            return career.get("accuracy", 0)
+        elif tag == "Anchor":
+            return norm.get("survivability_index", 0)
+        elif tag == "Aggressor":
+            return norm.get("kills_per_map", 0)
+        elif tag == "Clutch":
+            return norm.get("win_rate", 0)
+        elif tag == "Consistent":
+            # Could add variance logic if stored
+            return norm.get("kills_per_map", 0)
+        else:
+            # Default fallback
+            return career.get("KD", 0)
+
+    # Sort by score descending
+    tagged_players.sort(key=get_score, reverse=True)
+
+    return tagged_players[:limit]
\ No newline at end of file
diff --git a/analysis/rankings1.py b/analysis/rankings1.py
new file mode 100644
index 0000000..93833d4
--- /dev/null
+++ b/analysis/rankings1.py
@@ -0,0 +1,38 @@
+import json
+import os
+
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+CAREER_DB = os.path.join(BASE_DIR, "career_stats.json")
+
+def load_db():
+    with open(CAREER_DB, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+def top_players_by_tag(tag, limit=10):
+    db = load_db()
+    players = db["players"]
+
+    ranked = [
+        p for p in players.values()
+        if tag in p.get("identity_tags", [])
+    ]
+
+    # Sort by slayer_index for Slayers, objective_index for Objective Specialists, etc.
+    def score(p):
+        norm = p["normalized"]
+        if tag == "Slayer":
+            return norm["slayer_index"]
+        if tag == "Objective Specialist":
+            return norm["objective_index"]
+        if tag == "Sharpshooter":
+            return p["career"]["accuracy"]
+        if tag == "Anchor":
+            return norm["survivability_index"]
+        if tag == "Aggressor":
+            return norm["kills_per_map"]
+        if tag == "Clutch":
+            return norm["win_rate"]
+        return p["career"]["KD"]
+
+    ranked.sort(key=score, reverse=True)
+    return ranked[:limit]
\ No newline at end of file
diff --git a/analysis/storylines.py b/analysis/storylines.py
new file mode 100644
index 0000000..f8b75e2
--- /dev/null
+++ b/analysis/storylines.py
@@ -0,0 +1,54 @@
+from team_identity import team_identity
+
+def matchup_storyline(team_a: str, team_b: str) -> str:
+    """Generate rich, caster-ready storyline with talking points and predictive flavor."""
+    A = team_identity(team_a)
+    B = team_identity(team_b)
+
+    story = [f"🎙️ MATCH STORYLINE: {team_a} vs {team_b}\n"]
+
+    # Slayer Power
+    slayer_a = A["tag_counts"].get("Slayer", 0)
+    slayer_b = B["tag_counts"].get("Slayer", 0)
+    if slayer_a > slayer_b:
+        story.append(f"• {team_a} brings **superior slayer firepower** ({slayer_a} tagged Slayers vs {slayer_b}).")
+    elif slayer_b > slayer_a:
+        story.append(f"• {team_b} brings **superior slayer firepower** ({slayer_b} tagged Slayers vs {slayer_a}).")
+    else:
+        story.append(f"• Both teams have equal slayer power — this could come down to execution.")
+
+    # Objective Control
+    obj_a = A["tag_counts"].get("Objective Specialist", 0)
+    obj_b = B["tag_counts"].get("Objective Specialist", 0)
+    if obj_a > obj_b:
+        story.append(f"• {team_a} has **deeper objective presence** and map control potential.")
+    elif obj_b > obj_a:
+        story.append(f"• {team_b} has **deeper objective presence** and map control potential.")
+
+    # Anchor / Stability
+    if A["tag_counts"].get("Anchor", 0) >= 1 and B["tag_counts"].get("Anchor", 0) == 0:
+        story.append(f"• {team_a} has a clear **anchor advantage** — expect a rock-solid backline.")
+    elif B["tag_counts"].get("Anchor", 0) >= 1 and A["tag_counts"].get("Anchor", 0) == 0:
+        story.append(f"• {team_b} has a clear **anchor advantage** — expect a rock-solid backline.")
+
+    # Experience / Rookie Factor
+    vet_a = A["tag_counts"].get("Veteran", 0)
+    rook_a = A["tag_counts"].get("Rookie", 0)
+    vet_b = B["tag_counts"].get("Veteran", 0)
+    rook_b = B["tag_counts"].get("Rookie", 0)
+    if rook_a >= 2 and vet_b >= 2:
+        story.append(f"• {team_a} is young and hungry — {team_b} brings veteran experience. Classic youth vs experience matchup.")
+
+    # Direct Exploit Lines
+    if "Weak objective presence" in A["weaknesses"] and "Strong objective depth" in B["strengths"]:
+        story.append(f"🔥 {team_b} is perfectly positioned to **exploit {team_a}'s weak objective play**.")
+    if "Weak objective presence" in B["weaknesses"] and "Strong objective depth" in A["strengths"]:
+        story.append(f"🔥 {team_a} is perfectly positioned to **exploit {team_b}'s weak objective play**.")
+
+    # Final prediction flavor
+    story.append("\n**Caster Talking Points Summary:**")
+    story.append(f"• Watch for early slayer duels — the team that wins the Slayer battle usually controls the pace.")
+    story.append(f"• Objective maps will heavily favor the side with more Objective Specialists.")
+    story.append(f"• This matchup has high upset potential if the younger team executes cleanly.")
+
+    return "\n".join(story)
\ No newline at end of file
diff --git a/analysis/storylines1.py b/analysis/storylines1.py
new file mode 100644
index 0000000..ab6e0b4
--- /dev/null
+++ b/analysis/storylines1.py
@@ -0,0 +1,29 @@
+from team_identity import team_identity
+
+def matchup_storyline(team_a, team_b):
+    A = team_identity(team_a)
+    B = team_identity(team_b)
+
+    story = []
+
+    story.append(f"MATCH STORYLINE: {team_a} vs {team_b}\n")
+
+    # Style comparison
+    if A["tag_counts"].get("Slayer", 0) > B["tag_counts"].get("Slayer", 0):
+        story.append(f"{team_a} brings stronger slayer power.")
+    elif B["tag_counts"].get("Slayer", 0) > A["tag_counts"].get("Slayer", 0):
+        story.append(f"{team_b} brings stronger slayer power.")
+
+    if A["tag_counts"].get("Objective Specialist", 0) > B["tag_counts"].get("Objective Specialist", 0):
+        story.append(f"{team_a} has deeper objective presence.")
+    elif B["tag_counts"].get("Objective Specialist", 0) > A["tag_counts"].get("Objective Specialist", 0):
+        story.append(f"{team_b} has deeper objective presence.")
+
+    # Strength vs weakness
+    if "Weak objective presence" in A["weaknesses"] and "Strong objective depth" in B["strengths"]:
+        story.append(f"{team_b} may exploit {team_a}'s weak objective play.")
+
+    if "Weak objective presence" in B["weaknesses"] and "Strong objective depth" in A["strengths"]:
+        story.append(f"{team_a} may exploit {team_b}'s weak objective play.")
+
+    return "\n".join(story)
\ No newline at end of file
diff --git a/analysis/team_identity.py b/analysis/team_identity.py
new file mode 100644
index 0000000..cd23b26
--- /dev/null
+++ b/analysis/team_identity.py
@@ -0,0 +1,77 @@
+import json
+import os
+from collections import Counter
+
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+CAREER_DB_PATH = os.path.join(BASE_DIR, "career_stats.json")
+
+def load_career_db():
+    """Load career database with proper error handling."""
+    if not os.path.exists(CAREER_DB_PATH):
+        raise FileNotFoundError(f"Career database not found at: {CAREER_DB_PATH}\nPlease build it first.")
+    
+    try:
+        with open(CAREER_DB_PATH, "r", encoding="utf-8") as f:
+            return json.load(f)
+    except json.JSONDecodeError:
+        raise ValueError("Career database is corrupted. Please rebuild it.")
+    except Exception as e:
+        raise RuntimeError(f"Failed to load career database: {e}")
+
+
+def team_identity(team_name: str):
+    """Generate team identity summary based on career tags."""
+    db = load_career_db()
+    players = db.get("players", {})
+
+    # Find all players who have ever played for this team
+    team_players = [
+        p for p in players.values()
+        if team_name in p.get("team_history", [])
+    ]
+
+    if not team_players:
+        return {
+            "team": team_name,
+            "players": [],
+            "tag_counts": {},
+            "strengths": ["No players found with this team in history"],
+            "weaknesses": []
+        }
+
+    # Count all identity tags across the team
+    all_tags = [tag for p in team_players for tag in p.get("identity_tags", [])]
+    tag_counts = Counter(all_tags)
+
+    strengths = []
+    weaknesses = []
+
+    # --- Strengths ---
+    if tag_counts.get("Slayer", 0) >= 2:
+        strengths.append("High slayer firepower")
+    if tag_counts.get("Objective Specialist", 0) >= 2:
+        strengths.append("Strong objective control")
+    if tag_counts.get("Anchor", 0) >= 1:
+        strengths.append("Reliable anchor/backline")
+    if tag_counts.get("Playmaker", 0) >= 1:
+        strengths.append("Creative playmaking")
+    if tag_counts.get("Consistent", 0) >= 2:
+        strengths.append("Very consistent performers")
+
+    # --- Weaknesses ---
+    if tag_counts.get("Objective Specialist", 0) == 0:
+        weaknesses.append("Lacking objective specialists")
+    if tag_counts.get("Sharpshooter", 0) == 0:
+        weaknesses.append("No dedicated sharpshooter")
+    if tag_counts.get("Anchor", 0) == 0:
+        weaknesses.append("Weak backline stability")
+    if tag_counts.get("Veteran", 0) == 0 and tag_counts.get("Rookie", 0) >= 2:
+        weaknesses.append("Very inexperienced roster")
+
+    return {
+        "team": team_name,
+        "players": team_players,           # kept for potential future use
+        "tag_counts": dict(tag_counts),
+        "strengths": strengths or ["Balanced roster — no dominant strength"],
+        "weaknesses": weaknesses or ["No major weaknesses identified"]
+    }
\ No newline at end of file
diff --git a/analysis/team_identity1.py b/analysis/team_identity1.py
new file mode 100644
index 0000000..1f5bab7
--- /dev/null
+++ b/analysis/team_identity1.py
@@ -0,0 +1,46 @@
+import json
+import os
+
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+CAREER_DB = os.path.join(BASE_DIR, "career_stats.json")
+
+def load_db():
+    with open(CAREER_DB, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+def team_identity(team_name):
+    db = load_db()
+    players = db["players"]
+
+    team_players = [
+        p for p in players.values()
+        if team_name in p.get("team_history", [])
+    ]
+
+    tag_counts = {}
+    for p in team_players:
+        for tag in p.get("identity_tags", []):
+            tag_counts[tag] = tag_counts.get(tag, 0) + 1
+
+    strengths = []
+    weaknesses = []
+
+    if tag_counts.get("Slayer", 0) >= 2:
+        strengths.append("High slayer power")
+    if tag_counts.get("Objective Specialist", 0) >= 2:
+        strengths.append("Strong objective depth")
+    if tag_counts.get("Anchor", 0) >= 1:
+        strengths.append("Stable backline")
+
+    if tag_counts.get("Objective Specialist", 0) == 0:
+        weaknesses.append("Weak objective presence")
+    if tag_counts.get("Sharpshooter", 0) == 0:
+        weaknesses.append("No true sharpshooter")
+
+    return {
+        "team": team_name,
+        "players": team_players,
+        "tag_counts": tag_counts,
+        "strengths": strengths,
+        "weaknesses": weaknesses
+    }
\ No newline at end of file
diff --git a/career_stats.json b/career_stats.json
new file mode 100644
index 0000000..c286936
--- /dev/null
+++ b/career_stats.json
@@ -0,0 +1,111535 @@
+{
+  "players": {
+    "23894346-a051-4a96-a2dc-8903d07a5a41": {
+      "name": ".com",
+      "team_history": [
+        "REKT"
+      ],
+      "seasons_played": [
+        3,
+        4,
+        5,
+        6,
+        7,
+        8,
+        9,
+        10
+      ],
+      "per_season": {
+        "3": {
+          "id": "23894346-a051-4a96-a2dc-8903d07a5a41",
+          "name": ".com",
+          "team": "REKT",
+          "seasons": 8,
+          "seasons_played": "3,4,5,6,7,8,9,10",
+          "best_map": "Coming Soon!",
+          "kills": 1164,
+          "deaths": 986,
+          "KD": 1.18,
+          "shots": 27369,
+          "shots_hit": 4225,
+          "accuracy": 15.44,
+          "damage": 117817,
+          "headshots": 591,
+          "score": 225277,
+          "CP_captures": 212,
+          "PAY_PushTime": 260,
+          "DOM_captures": 289,
+          "DOM_counters": 47,
+          "maps": 28,
+          "wins": 11,
+          "loss": 17,
+          "losses": 17
+        },
+        "4": {
+          "id": "23894346-a051-4a96-a2dc-8903d07a5a41",
+          "name": ".com",
+          "team": "REKT",
+          "seasons": 8,
+          "seasons_played": "3,4,5,6,7,8,9,10",
+          "best_map": "Coming Soon!",
+          "kills": 762,
+          "deaths": 840,
+          "KD": 0.91,
+          "shots": 18970,
+          "shots_hit": 2502,
+          "accuracy": 13.19,
+          "damage": 80310,
+          "headshots": 445,
+          "score": 153590,
+          "CP_captures": 99,
+          "PAY_PushTime": 669,
+          "DOM_captures": 213,
+          "DOM_counters": 19,
+          "maps": 24,
+          "wins": 18,
+          "loss": 6,
+          "losses": 6
+        },
+        "5": {
+          "id": "23894346-a051-4a96-a2dc-8903d07a5a41",
+          "name": ".com",
+          "team": "REKT",
+          "seasons": 8,
+          "seasons_played": "3,4,5,6,7,8,9,10",
+          "best_map": "Coming Soon!",
+          "kills": 1604,
+          "deaths": 1202,
+          "KD": 1.33,
+          "shots": 48533,
+          "shots_hit": 6617,
+          "accuracy": 13.63,
+          "damage": 170023,
+          "headshots": 773,
+          "score": 303211,
+          "CP_captures": 222,
+          "PAY_PushTime": 406,
+          "DOM_captures": 322,
+          "DOM_counters": 45,
+          "maps": 29,
+          "wins": 23,
+          "loss": 6,
+          "losses": 6
+        },
+        "6": {
+          "id": "23894346-a051-4a96-a2dc-8903d07a5a41",
+          "name": ".com",
+          "team": "REKT",
+          "seasons": 8,
+          "seasons_played": "3,4,5,6,7,8,9,10",
+          "best_map": "Coming Soon!",
+          "kills": 990,
+          "deaths": 776,
+          "KD": 1.28,
+          "shots": 34593,
+          "shots_hit": 4224,
+          "accuracy": 12.21,
+          "damage": 106687,
+          "headshots": 581,
+          "score": 170007,
+          "CP_captures": 69,
+          "PAY_PushTime": 406,
+          "DOM_captures": 213,
+          "DOM_counters": 29,
+          "maps": 23,
+          "wins": 19,
+          "loss": 4,
+          "losses": 4
+        },
+        "7": {
+          "id": "23894346-a051-4a96-a2dc-8903d07a5a41",
+          "name": ".com",
+          "team": "REKT",
+          "seasons": 8,
+          "seasons_played": "3,4,5,6,7,8,9,10",
+          "best_map": "Coming Soon!",
+          "kills": 1463,
+          "deaths": 1093,
+          "KD": 1.34,
+          "shots": 52488,
+          "shots_hit": 6702,
+          "accuracy": 12.77,
+          "damage": 164534,
+          "headshots": 749,
+          "score": 251654,
+          "CP_captures": 54,
+          "PAY_PushTime": 297,
+          "DOM_captures": 343,
+          "DOM_counters": 48,
+          "maps": 26,
+          "wins": 16,
+          "loss": 10,
+          "losses": 10
+        },
+        "8": {
+          "id": "23894346-a051-4a96-a2dc-8903d07a5a41",
+          "name": ".com",
+          "team": "REKT",
+          "seasons": 8,
+          "seasons_played": "3,4,5,6,7,8,9,10",
+          "best_map": "Coming Soon!",
+          "kills": 1439,
+          "deaths": 992,
+          "KD": 1.45,
+          "shots": 48695,
+          "shots_hit": 6478,
+          "accuracy": 13.3,
+          "damage": 156388,
+          "headshots": 788,
+          "score": 245881,
+          "CP_captures": 142,
+          "PAY_PushTime": 149,
+          "DOM_captures": 270,
+          "DOM_counters": 36,
+          "maps": 24,
+          "wins": 14,
+          "loss": 10,
+          "losses": 10
+        },
+        "9": {
+          "id": "23894346-a051-4a96-a2dc-8903d07a5a41",
+          "name": ".com",
+          "team": "REKT",
+          "seasons": 8,
+          "seasons_played": "3,4,5,6,7,8,9,10",
+          "best_map": "Coming Soon!",
+          "kills": 453,
+          "deaths": 389,
+          "KD": 1.16,
+          "shots": 15335,
+          "shots_hit": 2054,
+          "accuracy": 13.39,
+          "damage": 51948,
+          "headshots": 242,
+          "score": 73638,
+          "CP_captures": 0,
+          "PAY_PushTime": 70,
+          "DOM_captures": 100,
+          "DOM_counters": 10,
+          "maps": 10,
+          "wins": 8,
+          "loss": 2,
+          "losses": 2
+        },
+        "10": {
+          "id": "23894346-a051-4a96-a2dc-8903d07a5a41",
+          "name": ".com",
+          "team": "REKT",
+          "seasons": 8,
+          "seasons_played": "3,4,5,6,7,8,9,10",
+          "best_map": "Coming Soon!",
+          "kills": 419,
+          "deaths": 315,
+          "KD": 1.33,
+          "shots": 14759,
+          "shots_hit": 2074,
+          "accuracy": 14.05,
+          "damage": 49080,
+          "headshots": 222,
+          "score": 107610,
+          "CP_captures": 0,
+          "PAY_PushTime": 3,
+          "DOM_captures": 273,
+          "DOM_counters": 39,
+          "maps": 9,
+          "wins": 9,
+          "loss": 0,
+          "losses": 0
+        }
+      },
+      "career": {
+        "kills": 8294.0,
+        "deaths": 6593.0,
+        "KD": 1.25800091005612,
+        "accuracy": 13.497499999999999,
+        "push_time": 2260.0,
+        "captures": 2023.0,
+        "counters": 273.0,
+        "maps": 173.0,
+        "wins": 118.0,
+        "losses": 55.0,
+        "damage": 896787.0,
+        "shots": 260742.0,
+        "shots_hit": 34876.0,
+        "headshots": 4391.0,
+        "damage_dealt": 896787.0
+      },
+      "derived": {
+        "kills_per_map": 47.94219653179191,
+        "deaths_per_map": 38.10982658959538,
+        "push_time_per_season": 282.5
+      },
+      "matches": [],
+      "slayer_score_raw": 2092.9244325519535,
+      "slayer_score_display": "2092.92",
+      "slayer_strength": "Strong Slayer",
+      "sharpshooter": {
+        "accuracy": 0.13375674037937885,
+        "hs_rate": 0.12590319990824636,
+        "dps": 3.439365349655982,
+        "score_raw": 0.7917370460462465,
+        "score_display": "0.79"
+      },
+      "objective_payload_components": {
+        "push_time_total": 2260.0,
+        "push_time_per_season": 282.5,
+        "push_time_norm": 0.9649618180986785,
+        "psi": 2.8601583627182827
+      },
+      "consistency_components": {
+        "per_match_perf": [],
+        "floor": 0.0,
+        "variance": 0.0,
+        "variance_adj": 0.0,
+        "variance_score": 0.0,
+        "avg_perf": 0.0,
+        "consistency_norm": 0.0,
+        "consistency_raw": 0.0
+      },
+      "clutch_components": {
+        "clutch_norm": 0.42596599402876256
+      }
+    },
+    "86fbc6c8-9388-41d6-8581-262d044dc824": {
+      "name": "(%)",
+      "team_history": [
+        "No Team"
+      ],
+      "seasons_played": [
+        3,
+        4
+      ],
+      "per_season": {
+        "3": {
+          "id": "86fbc6c8-9388-41d6-8581-262d044dc824",
+          "name": "(%)",
+          "team": null,
+          "seasons": 2,
+          "seasons_played": "3,4",
+          "best_map": "Coming Soon!",
+          "kills": 1175,
+          "deaths": 842,
+          "KD": 1.4,
+          "shots": 46174,
+          "shots_hit": 5696,
+          "accuracy": 12.34,
+          "damage": 135922,
+          "headshots": 589,
+          "score": 193202,
+          "CP_captures": 13,
+          "PAY_PushTime": 392,
+          "DOM_captures": 249,
+          "DOM_counters": 10,
+          "maps": 29,
+          "wins": 26,
+          "loss": 3,
+          "losses": 3
+        },
+        "4": {
+          "id": "86fbc6c8-9388-41d6-8581-262d044dc824",
+          "name": "(%)",
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+        "push_time_per_season": 56.0,
+        "push_time_norm": 0.1912844665965522,
+        "psi": 13.60226327626327
+      },
+      "consistency_components": {
+        "per_match_perf": [],
+        "floor": 0.0,
+        "variance": 0.0,
+        "variance_adj": 0.0,
+        "variance_score": 0.0,
+        "avg_perf": 0.0,
+        "consistency_norm": 0.0,
+        "consistency_raw": 0.0
+      },
+      "clutch_components": {
+        "clutch_norm": 0.42349111091191355
+      }
+    },
+    "c691caff-61da-45b5-9d50-41fda35dc9d7": {
+      "name": "Toast",
+      "team_history": [
+        "F1R3"
+      ],
+      "seasons_played": [
+        10
+      ],
+      "per_season": {
+        "10": {
+          "id": "c691caff-61da-45b5-9d50-41fda35dc9d7",
+          "name": "Toast",
+          "team": "F1R3",
+          "seasons": 1,
+          "seasons_played": "10",
+          "best_map": "Coming Soon!",
+          "kills": 741,
+          "deaths": 651,
+          "KD": 1.14,
+          "shots": 29182,
+          "shots_hit": 3709,
+          "accuracy": 12.71,
+          "damage": 83468,
+          "headshots": 386,
+          "score": 125978,
+          "CP_captures": 112,
+          "PAY_PushTime": 122,
+          "DOM_captures": 83,
+          "DOM_counters": 23,
+          "maps": 19,
+          "wins": 9,
+          "loss": 10,
+          "losses": 10
+        }
+      },
+      "career": {
+        "kills": 741.0,
+        "deaths": 651.0,
+        "KD": 1.1382488479262673,
+        "accuracy": 12.71,
+        "push_time": 122.0,
+        "captures": 83.0,
+        "counters": 23.0,
+        "maps": 19.0,
+        "wins": 9.0,
+        "losses": 10.0,
+        "damage": 83468.0,
+        "shots": 29182.0,
+        "shots_hit": 3709.0,
+        "headshots": 386.0,
+        "damage_dealt": 83468.0
+      },
+      "derived": {
+        "kills_per_map": 39.0,
+        "deaths_per_map": 34.26315789473684,
+        "push_time_per_season": 122.0
+      },
+      "matches": [],
+      "slayer_score_raw": 1773.0487024011643,
+      "slayer_score_display": "1773.05",
+      "slayer_strength": "Slayer",
+      "sharpshooter": {
+        "accuracy": 0.1270988965800836,
+        "hs_rate": 0.10407117821515233,
+        "dps": 2.860256322390515,
+        "score_raw": 0.6645192943961973,
+        "score_display": "0.66"
+      },
+      "objective_payload_components": {
+        "push_time_total": 122.0,
+        "push_time_per_season": 122.0,
+        "push_time_norm": 0.41672687365677447,
+        "psi": 11.543030838408164
+      },
+      "consistency_components": {
+        "per_match_perf": [],
+        "floor": 0.0,
+        "variance": 0.0,
+        "variance_adj": 0.0,
+        "variance_score": 0.0,
+        "avg_perf": 0.0,
+        "consistency_norm": 0.0,
+        "consistency_raw": 0.0
+      },
+      "clutch_components": {
+        "clutch_norm": 0.42311700747952363
+      }
+    },
+    "11c31fa0-3356-4b71-b2c0-52e8633e227e": {
+      "name": "Venyum jbVenyum jbVenyum",
+      "team_history": [
+        "DMND"
+      ],
+      "seasons_played": [
+        10
+      ],
+      "per_season": {
+        "10": {
+          "id": "11c31fa0-3356-4b71-b2c0-52e8633e227e",
+          "name": "Venyum jbVenyum jbVenyum",
+          "team": "DMND",
+          "seasons": 1,
+          "seasons_played": "10",
+          "best_map": "Coming Soon!",
+          "kills": 587,
+          "deaths": 725,
+          "KD": 0.81,
+          "shots": 20592,
+          "shots_hit": 2889,
+          "accuracy": 14.03,
+          "damage": 66253,
+          "headshots": 275,
+          "score": 98203,
+          "CP_captures": 51,
+          "PAY_PushTime": 826,
+          "DOM_captures": 61,
+          "DOM_counters": 14,
+          "maps": 17,
+          "wins": 9,
+          "loss": 8,
+          "losses": 8
+        }
+      },
+      "career": {
+        "kills": 587.0,
+        "deaths": 725.0,
+        "KD": 0.8096551724137931,
+        "accuracy": 14.03,
+        "push_time": 826.0,
+        "captures": 61.0,
+        "counters": 14.0,
+        "maps": 17.0,
+        "wins": 9.0,
+        "losses": 8.0,
+        "damage": 66253.0,
+        "shots": 20592.0,
+        "shots_hit": 2889.0,
+        "headshots": 275.0,
+        "damage_dealt": 66253.0
+      },
+      "derived": {
+        "kills_per_map": 34.529411764705884,
+        "deaths_per_map": 42.64705882352941,
+        "push_time_per_season": 826.0
+      },
+      "matches": [],
+      "slayer_score_raw": 1572.867813387424,
+      "slayer_score_display": "1572.87",
+      "slayer_strength": "Below Average",
+      "sharpshooter": {
+        "accuracy": 0.14029720279720279,
+        "hs_rate": 0.09518864659051575,
+        "dps": 3.21741452991453,
+        "score_raw": 0.7376772457379934,
+        "score_display": "0.74"
+      },
+      "objective_payload_components": {
+        "push_time_total": 826.0,
+        "push_time_per_season": 826.0,
+        "push_time_norm": 2.821445882299145,
+        "psi": 3.1733368346969715
+      },
+      "consistency_components": {
+        "per_match_perf": [],
+        "floor": 0.0,
+        "variance": 0.0,
+        "variance_adj": 0.0,
+        "variance_score": 0.0,
+        "avg_perf": 0.0,
+        "consistency_norm": 0.0,
+        "consistency_raw": 0.0
+      },
+      "clutch_components": {
+        "clutch_norm": 0.4235485849387719
+      }
+    },
+    "2c78f327-3389-41bd-b6d0-dbe85bd25b5c": {
+      "name": "Waterboy",
+      "team_history": [
+        "No Team"
+      ],
+      "seasons_played": [
+        10
+      ],
+      "per_season": {
+        "10": {
+          "id": "2c78f327-3389-41bd-b6d0-dbe85bd25b5c",
+          "name": "Waterboy",
+          "team": null,
+          "seasons": 1,
+          "seasons_played": "10",
+          "best_map": "Coming Soon!",
+          "kills": 978,
+          "deaths": 701,
+          "KD": 1.4,
+          "shots": 33067,
+          "shots_hit": 4721,
+          "accuracy": 14.28,
+          "damage": 107303,
+          "headshots": 530,
+          "score": 190163,
+          "CP_captures": 124,
+          "PAY_PushTime": 117,
+          "DOM_captures": 264,
+          "DOM_counters": 41,
+          "maps": 19,
+          "wins": 15,
+          "loss": 4,
+          "losses": 4
+        }
+      },
+      "career": {
+        "kills": 978.0,
+        "deaths": 701.0,
+        "KD": 1.3951497860199715,
+        "accuracy": 14.28,
+        "push_time": 117.0,
+        "captures": 264.0,
+        "counters": 41.0,
+        "maps": 19.0,
+        "wins": 15.0,
+        "losses": 4.0,
+        "damage": 107303.0,
+        "shots": 33067.0,
+        "shots_hit": 4721.0,
+        "headshots": 530.0,
+        "damage_dealt": 107303.0
+      },
+      "derived": {
+        "kills_per_map": 51.473684210526315,
+        "deaths_per_map": 36.89473684210526,
+        "push_time_per_season": 117.0
+      },
+      "matches": [],
+      "slayer_score_raw": 2279.879029957204,
+      "slayer_score_display": "2279.88",
+      "slayer_strength": "Strong Slayer",
+      "sharpshooter": {
+        "accuracy": 0.14277073819820366,
+        "hs_rate": 0.11226435077314129,
+        "dps": 3.245017691353918,
+        "score_raw": 0.7510175738593216,
+        "score_display": "0.75"
+      },
+      "objective_payload_components": {
+        "push_time_total": 117.0,
+        "push_time_per_season": 117.0,
+        "push_time_norm": 0.39964790342493944,
+        "psi": 14.071284647342422
+      },
+      "consistency_components": {
+        "per_match_perf": [],
+        "floor": 0.0,
+        "variance": 0.0,
+        "variance_adj": 0.0,
+        "variance_score": 0.0,
+        "avg_perf": 0.0,
+        "consistency_norm": 0.0,
+        "consistency_raw": 0.0
+      },
+      "clutch_components": {
+        "clutch_norm": 0.4255035088971345
+      }
+    },
+    "96cd35ba-126b-43df-b42f-a1ee9e2a93b2": {
+      "name": "Zenith",
+      "team_history": [
+        "No Team"
+      ],
+      "seasons_played": [
+        10
+      ],
+      "per_season": {
+        "10": {
+          "id": "96cd35ba-126b-43df-b42f-a1ee9e2a93b2",
+          "name": "Zenith",
+          "team": null,
+          "seasons": 1,
+          "seasons_played": "10",
+          "best_map": "Coming Soon!",
+          "kills": 368,
+          "deaths": 313,
+          "KD": 1.18,
+          "shots": 10639,
+          "shots_hit": 1655,
+          "accuracy": 15.56,
+          "damage": 37518,
+          "headshots": 209,
+          "score": 70518,
+          "CP_captures": 52,
+          "PAY_PushTime": 100,
+          "DOM_captures": 103,
+          "DOM_counters": 10,
+          "maps": 11,
+          "wins": 9,
+          "loss": 2,
+          "losses": 2
+        }
+      },
+      "career": {
+        "kills": 368.0,
+        "deaths": 313.0,
+        "KD": 1.1757188498402555,
+        "accuracy": 15.56,
+        "push_time": 100.0,
+        "captures": 103.0,
+        "counters": 10.0,
+        "maps": 11.0,
+        "wins": 9.0,
+        "losses": 2.0,
+        "damage": 37518.0,
+        "shots": 10639.0,
+        "shots_hit": 1655.0,
+        "headshots": 209.0,
+        "damage_dealt": 37518.0
+      },
+      "derived": {
+        "kills_per_map": 33.45454545454545,
+        "deaths_per_map": 28.454545454545453,
+        "push_time_per_season": 100.0
+      },
+      "matches": [],
+      "slayer_score_raw": 1377.9078710426954,
+      "slayer_score_display": "1377.91",
+      "slayer_strength": "Below Average",
+      "sharpshooter": {
+        "accuracy": 0.1555597330576182,
+        "hs_rate": 0.12628398791540785,
+        "dps": 3.5264592536892567,
+        "score_raw": 0.8180293391270618,
+        "score_display": "0.82"
+      },
+      "objective_payload_components": {
+        "push_time_total": 100.0,
+        "push_time_per_season": 100.0,
+        "push_time_norm": 0.3415794046367004,
+        "psi": 11.889109968884831
+      },
+      "consistency_components": {
+        "per_match_perf": [],
+        "floor": 0.0,
+        "variance": 0.0,
+        "variance_adj": 0.0,
+        "variance_score": 0.0,
+        "avg_perf": 0.0,
+        "consistency_norm": 0.0,
+        "consistency_raw": 0.0
+      },
+      "clutch_components": {
+        "clutch_norm": 0.42818437209730265
+      }
+    }
+  },
+  "league_averages": {
+    "KD": 0.9569344042838016,
+    "accuracy": 13.08515841142347,
+    "kills_per_map": 35.881002477300186,
+    "damage_per_map": 4037.545932232703,
+    "push_time_per_season": 292.7576974564926
+  }
+}
\ No newline at end of file
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..d7377f1
--- /dev/null
+++ b/config.json
@@ -0,0 +1,49 @@
+{
+  "season": 10,
+  "teams": [
+    "TANK",
+    "MEX",
+    "TBDi",
+    "EMRD",
+    "DMND",
+    "Doc!",
+    "HAXX",
+    "SWUA",
+    "ZTi",
+    "SLNT",
+    "HOBO",
+    "just",
+    "VRUS",
+    "FAM!",
+    "SKY",
+    "LMB0",
+    "F1R3",
+    "RVNG",
+    "DRGN",
+    "STHX",
+    "EMU"
+  ],
+  "tiers": {
+    "TANK": "Dasher",
+    "MEX": "Sprinter",
+    "TBDi": "Walker",
+    "EMRD": "Dasher",
+    "DMND": "Sprinter",
+    "Doc!": "Walker",
+    "HAXX": "Dasher",
+    "SWUA": "Sprinter",
+    "ZTi": "Walker",
+    "SLNT": "Dasher",
+    "HOBO": "Sprinter",
+    "just": "Walker",
+    "VRUS": "Dasher",
+    "FAM!": "Sprinter",
+    "SKY": "Walker",
+    "LMB0": "Dasher",
+    "F1R3": "Sprinter",
+    "RVNG": "Walker",
+    "DRGN": "Dasher",
+    "STHX": "Sprinter",
+    "EMU": "Walker"
+  }
+}
\ No newline at end of file
diff --git a/dashleague_cast_tool.py b/dashleague_cast_tool.py
new file mode 100644
index 0000000..615168e
--- /dev/null
+++ b/dashleague_cast_tool.py
@@ -0,0 +1,829 @@
+import os
+import json
+import math
+from collections import defaultdict
+import tkinter as tk
+from tkinter import ttk, messagebox
+import requests
+
+from data.career_db import build_career_database
+from rankings import top_players_by_tag
+from team_identity import generate_team_identity, compare_team_identity
+from storylines import matchup_storyline
+from tags.objective_domination import compute_dom_objective
+from predictions.prediction_engine import generate_predictions
+
+from match_engine import (
+    rank_match_players_sharpshooter,
+    rank_match_players_slayer,
+    rank_match_players_objpl,
+    rank_match_players_objdom,
+    rank_match_players_clutch,
+    split_two_columns,
+    compute_slayer_prediction,
+)
+
+
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+CONFIG_PATH = os.path.join(BASE_DIR, "config.json")
+PLAYERS_DIR = os.path.join(BASE_DIR, "players")
+OBS_EXPORT_DIR = os.path.join(BASE_DIR, "obs_exports")
+os.makedirs(OBS_EXPORT_DIR, exist_ok=True)
+
+API_BASE = "https://dashleague.games/api/v1"
+
+
+def export_to_obs(filename, text):
+    path = os.path.join(OBS_EXPORT_DIR, filename)
+    with open(path, "w", encoding="utf-8") as f:
+        f.write(text)
+    return path
+
+
+def fetch_json(url):
+    resp = requests.get(url, timeout=10)
+    resp.raise_for_status()
+    return resp.json()
+
+
+def ensure_player_slots():
+    os.makedirs(PLAYERS_DIR, exist_ok=True)
+    for i in range(10):
+        slot_dir = os.path.join(PLAYERS_DIR, f"p{i}")
+        os.makedirs(slot_dir, exist_ok=True)
+
+
+def write_text(path, value):
+    with open(path, "w", encoding="utf-8") as f:
+        f.write(str(value))
+
+
+class DashLeagueGUI:
+    def __init__(self, root):
+        self.root = root
+        self.root.title("DashLeague Casting Tool")
+
+        self.config = {}
+        self.current_season = None
+        self.team_a_var = tk.StringVar()
+        self.team_b_var = tk.StringVar()
+
+        self.team_a_players = []
+        self.team_b_players = []
+        self.stats_by_id = {}
+
+        self.status_var = tk.StringVar(value="Ready")
+
+        self.load_config()
+        ensure_player_slots()
+        self._build_ui()
+        
+        self.current_match_players = []
+       
+
+    def load_config(self):
+        if not os.path.exists(CONFIG_PATH):
+            messagebox.showerror("Error", f"config.json not found at {CONFIG_PATH}")
+            self.config = {}
+            return
+        with open(CONFIG_PATH, "r", encoding="utf-8") as f:
+            self.config = json.load(f)
+        self.current_season = self.config.get("current_season", 10)
+
+    def _build_ui(self):
+        main_frame = ttk.Frame(self.root, padding=10)
+        main_frame.grid(row=0, column=0, sticky="nsew")
+
+        self.root.columnconfigure(0, weight=1)
+        self.root.rowconfigure(0, weight=1)
+        main_frame.columnconfigure(0, weight=1)
+        main_frame.columnconfigure(1, weight=1)
+
+        top_frame = ttk.Frame(main_frame)
+        top_frame.grid(row=0, column=0, columnspan=2, sticky="ew", pady=(0, 10))
+
+        self.sync_button = ttk.Button(top_frame, text="Sync Stats", command=self.on_sync_stats)
+        self.sync_button.grid(row=0, column=0, padx=(0, 10))
+
+        self.build_db_button = ttk.Button(top_frame, text="Build Career Database", command=self.on_build_career_db)
+        self.build_db_button.grid(row=0, column=1, padx=(0, 10))
+
+        self.spotlight_button = ttk.Button(top_frame, text="Player Spotlight", command=self.on_player_spotlight)
+        self.spotlight_button.grid(row=0, column=2, padx=(0, 10))
+
+        self.team_id_button = ttk.Button(top_frame, text="Team Identity", command=self.on_team_identity)
+        self.team_id_button.grid(row=0, column=3, padx=(0, 10))
+
+        self.storyline_button = ttk.Button(top_frame, text="Match Storyline", command=self.on_match_storyline)
+        self.storyline_button.grid(row=0, column=4, padx=(0, 10))
+
+        self.rankings_button = ttk.Button(top_frame, text="Rankings", command=self.on_rankings)
+        self.rankings_button.grid(row=0, column=5, padx=(0, 10))
+        
+        self.map_var = tk.StringVar()
+        self.map_var.set("Payload")  # default
+
+        teams = self.config.get("teams", [])
+
+        left_frame = ttk.LabelFrame(main_frame, text="Team A")
+        left_frame.grid(row=1, column=0, sticky="nsew", padx=(0, 5))
+        right_frame = ttk.LabelFrame(main_frame, text="Team B")
+        right_frame.grid(row=1, column=1, sticky="nsew", padx=(5, 0))
+
+        main_frame.rowconfigure(1, weight=1)
+        left_frame.rowconfigure(1, weight=1)
+        right_frame.rowconfigure(1, weight=1)
+
+        ttk.Label(left_frame, text="Team:").grid(row=0, column=0, sticky="w")
+        self.team_a_combo = ttk.Combobox(left_frame, textvariable=self.team_a_var, values=teams, state="readonly")
+        self.team_a_combo.grid(row=0, column=1, sticky="ew", pady=2)
+        self.team_a_combo.bind("<<ComboboxSelected>>", lambda e: self.on_team_select("A"))
+
+        ttk.Label(right_frame, text="Team:").grid(row=0, column=0, sticky="w")
+        self.team_b_combo = ttk.Combobox(right_frame, textvariable=self.team_b_var, values=teams, state="readonly")
+        self.team_b_combo.grid(row=0, column=1, sticky="ew", pady=2)
+        self.team_b_combo.bind("<<ComboboxSelected>>", lambda e: self.on_team_select("B"))
+
+        self.team_a_listbox = tk.Listbox(left_frame, selectmode=tk.MULTIPLE, exportselection=False)
+        self.team_a_listbox.grid(row=1, column=0, columnspan=2, sticky="nsew", pady=(5, 0))
+
+        self.team_b_listbox = tk.Listbox(right_frame, selectmode=tk.MULTIPLE, exportselection=False)
+        self.team_b_listbox.grid(row=1, column=0, columnspan=2, sticky="nsew", pady=(5, 0))
+        
+        self.team_a_listbox.bind("<<ListboxSelect>>", lambda e: self.enforce_rolling_five(e, "A"))
+        self.team_b_listbox.bind("<<ListboxSelect>>", lambda e: self.enforce_rolling_five(e, "B"))
+
+        bottom_frame = ttk.Frame(main_frame)
+        bottom_frame.grid(row=2, column=0, columnspan=2, sticky="ew", pady=(10, 0))
+
+        self.generate_button = ttk.Button(bottom_frame, text="Generate Player Slots", command=self.on_generate_slots)
+        self.generate_button.grid(row=0, column=0, sticky="ew")
+        
+        ttk.Label(bottom_frame, text="Map:").grid(row=0, column=1, padx=(10, 5))
+        ttk.OptionMenu(bottom_frame, self.map_var, "Payload", "Payload", "Domination").grid(row=0, column=2)
+
+        status_frame = ttk.Frame(self.root)
+        status_frame.grid(row=1, column=0, sticky="ew")
+        status_label = ttk.Label(status_frame, textvariable=self.status_var, anchor="w")
+        status_label.grid(row=0, column=0, sticky="ew")
+        status_frame.columnconfigure(0, weight=1)
+
+    def set_status(self, text):
+        self.status_var.set(text)
+        self.root.update_idletasks()
+
+    def on_sync_stats(self):
+        try:
+            self.set_status(f"Syncing stats for season {self.current_season}...")
+            url = f"{API_BASE}/stats?season={self.current_season}"
+            data = fetch_json(url)
+            stats = data.get("data", [])
+            self.stats_by_id = {p["id"]: p for p in stats}
+            self.set_status("Stats synced.")
+            messagebox.showinfo("Success", f"Synced {len(stats)} player stats.")
+        except Exception as e:
+            messagebox.showerror("Error", f"Failed to sync stats:\n{e}")
+            self.set_status("Sync failed.")
+    
+    def enforce_rolling_five(self, event, side):
+        listbox = self.team_a_listbox if side == "A" else self.team_b_listbox
+        selection = listbox.curselection()
+
+        # If 5 or fewer selected, nothing to do
+        if len(selection) <= 5:
+            return
+
+        # More than 5 selected → rolling behavior:
+        # Deselect the *oldest* selected index
+        oldest = selection[0]
+        listbox.selection_clear(oldest)
+            
+            
+    def on_team_select(self, side):
+        team_name = self.team_a_var.get() if side == "A" else self.team_b_var.get()
+        team_players = [p for p in self.stats_by_id.values() if p.get("team") == team_name]
+
+        if side == "A":
+            self.team_a_players = team_players
+            self.team_a_listbox.delete(0, tk.END)
+            for p in team_players:
+                self.team_a_listbox.insert(tk.END, p.get("name", "Unknown"))
+        else:
+            self.team_b_players = team_players
+            self.team_b_listbox.delete(0, tk.END)
+            for p in team_players:
+                self.team_b_listbox.insert(tk.END, p.get("name", "Unknown"))
+
+    def on_generate_slots(self):
+        try:
+            ensure_player_slots()
+
+            selected_a = [self.team_a_players[i] for i in self.team_a_listbox.curselection()]
+            selected_b = [self.team_b_players[i] for i in self.team_b_listbox.curselection()]
+
+            if not selected_a:
+                selected_a = self.team_a_players
+            if not selected_b:
+                selected_b = self.team_b_players
+
+            all_players = sorted(selected_a, key=lambda x: x.get("name", "")) + \
+                          sorted(selected_b, key=lambda x: x.get("name", ""))
+
+            all_players = all_players[:10]
+            self.current_match_players = all_players
+
+            career_path = os.path.join(BASE_DIR, "career_stats.json")
+            career_db = None
+            if os.path.exists(career_path):
+                with open(career_path, "r", encoding="utf-8") as f:
+                    career_db = json.load(f)
+                    
+                        # Attach tag components from career DB to match players
+            if career_db is not None:
+                for p in all_players:
+                    pid = p.get("id")
+                    if pid and pid in career_db["players"]:
+                        pdata = career_db["players"][pid]
+
+                        # Attach all tag components
+                        p["clutch_components"] = pdata.get("clutch_components", {})
+                        p["consistency_components"] = pdata.get("consistency_components", {})
+                        p["objective_payload_components"] = pdata.get("objective_payload_components", {})
+                        p["objective_domination_components"] = pdata.get("objective_domination_components", {})
+                        p["sharpshooter_components"] = pdata.get("sharpshooter_components", {})
+                        p["slayer_score_raw"] = pdata.get("slayer_score_raw", 0.0)
+                            
+                    
+            for idx, p in enumerate(all_players):
+                slot_dir = os.path.join(PLAYERS_DIR, f"p{idx}")
+                os.makedirs(slot_dir, exist_ok=True)
+
+                write_text(os.path.join(slot_dir, "IGN.txt"), p.get("name", ""))
+                write_text(os.path.join(slot_dir, "Team.txt"), p.get("team", ""))
+
+                write_text(os.path.join(slot_dir, "KD.txt"), p.get("KD", ""))
+                write_text(os.path.join(slot_dir, "Kills.txt"), p.get("kills", ""))
+                write_text(os.path.join(slot_dir, "Deaths.txt"), p.get("deaths", ""))
+                write_text(os.path.join(slot_dir, "Headshots.txt"), p.get("headshots", ""))
+                write_text(os.path.join(slot_dir, "Accuracy.txt"), p.get("accuracy", ""))
+                write_text(os.path.join(slot_dir, "PushTime.txt"), p.get("PAY_PushTime", ""))
+                write_text(os.path.join(slot_dir, "Captures.txt"), p.get("DOM_captures", ""))
+                write_text(os.path.join(slot_dir, "Counters.txt"), p.get("DOM_counters", ""))
+
+                # Tag exports now come from real tag engines via rankings/career_db
+                if career_db is not None:
+                    pid = p.get("id")
+                    if pid and pid in career_db["players"]:
+                        player_entry = career_db["players"][pid]
+                        map_type = self.map_var.get()
+                        tags_text = self.generate_player_tags(player_entry, map_type)
+                        write_text(os.path.join(slot_dir, "Tags.txt"), tags_text)
+
+            self.set_status("Player slots generated.")
+            messagebox.showinfo("Success", "Player slots generated into p0–p9.")
+        except Exception as e:
+            messagebox.showerror("Error", f"Failed to generate slots:\n{e}")
+            self.set_status("Generate failed.")
+            
+        self.export_all_obs_files()
+
+    def on_build_career_db(self):
+        try:
+            self.set_status("Building career database...")
+            output_path = os.path.join(BASE_DIR, "career_stats.json")
+            build_career_database(output_path)
+            self.set_status("Career database built successfully.")
+            messagebox.showinfo("Success", "Career database has been built.")
+        except Exception as e:
+            import traceback
+            traceback.print_exc()
+            raise
+            messagebox.showerror("Error", f"Failed to build career database:\n{e}")
+            self.set_status("Career DB build failed.")
+            
+            
+    def on_player_spotlight(self):
+        career_path = os.path.join(BASE_DIR, "career_stats.json")
+        if not os.path.exists(career_path):
+            messagebox.showerror("Error", "Build career database first.")
+            return
+
+        with open(career_path, "r", encoding="utf-8") as f:
+            db = json.load(f)
+
+        names = [p["name"] for p in db["players"].values()]
+        names.sort()
+
+        win = tk.Toplevel(self.root)
+        win.title("Player Spotlight")
+        win.geometry("400x500")
+
+        ttk.Label(win, text="Select Player:").pack(anchor="w", padx=10, pady=5)
+        combo = ttk.Combobox(win, values=names, state="readonly")
+        combo.pack(fill="x", padx=10)
+
+        output = tk.Text(win, wrap="word")
+        output.pack(expand=True, fill="both", padx=10, pady=10)
+
+        def show():
+            name = combo.get()
+            if not name:
+                return
+
+            player = next((p for p in db["players"].values() if p["name"] == name), None)
+            if not player:
+                output.delete("1.0", tk.END)
+                output.insert(tk.END, "Player not found in career DB.")
+                return
+
+            career = player["career"]
+            derived = player.get("derived", {})
+            obj_pl = player.get("objective_payload_score")
+            slayer_strength = player.get("slayer_strength", "Unknown")
+
+            text = f"""PLAYER SPOTLIGHT — {name}
+
+Slayer Tier: {slayer_strength}
+Payload Objective Specialist: {obj_pl:.2f} (if not None)
+
+Career Stats:
+KD: {career['KD']:.2f}
+Accuracy: {career['accuracy']:.2f}
+Kills: {career['kills']}
+Deaths: {career['deaths']}
+Maps Played: {career['maps']}
+
+Derived Metrics:
+Kills/Map: {derived.get('kills_per_map', 0):.2f}
+Deaths/Map: {derived.get('deaths_per_map', 0):.2f}
+PushTime/Season: {derived.get('push_time_per_season', 0):.2f}
+"""
+
+            output.delete("1.0", tk.END)
+            output.insert(tk.END, text)
+
+        def export():
+            content = output.get("1.0", tk.END).strip()
+            if not content:
+                messagebox.showerror("Error", "No spotlight text to export.")
+                return
+            path = export_to_obs("spotlight.txt", content)
+            messagebox.showinfo("Exported", f"Spotlight exported to:\n{path}")
+
+        ttk.Button(win, text="Show Spotlight", command=show).pack(pady=5)
+        ttk.Button(win, text="Export to OBS", command=export).pack(pady=5)
+
+    def on_team_identity(self):
+        team = self.team_a_var.get()
+        if not team:
+            messagebox.showerror("Error", "Select a team first.")
+            return
+
+        # Filter selected players for this team
+        team_players = [p for p in self.current_match_players if p.get("team") == team]
+
+        if len(team_players) == 0:
+            messagebox.showerror("Error", "No players selected for this team.")
+            return
+
+        # Use the identity engine with the selected players
+        identity = generate_team_identity(team_players)
+
+        if identity is None:
+            messagebox.showerror("Error", "Not enough data to generate team identity.")
+            return
+
+        strengths = []
+        weaknesses = []
+
+        # Slayer
+        if identity["slayer_score"] > 0.55:
+            strengths.append("Strong slaying presence")
+        elif identity["slayer_score"] < 0.45:
+            weaknesses.append("Below-average slaying power")
+
+        # Payload Objective
+        if identity["payload_score"] > 0.55:
+            strengths.append("Strong Payload objective focus")
+        elif identity["payload_score"] < 0.45:
+            weaknesses.append("Weak Payload objective presence")
+
+        # Consistency
+        if identity["consistency_score"] > 0.55:
+            strengths.append("Strong map-to-map consistency")
+        elif identity["consistency_score"] < 0.45:
+            weaknesses.append("Inconsistent map-to-map performance")
+
+        # Clutch
+        if identity["clutch_score"] > 0.55:
+            strengths.append("Performs well in clutch moments")
+        elif identity["clutch_score"] < 0.45:
+            weaknesses.append("Struggles in clutch situations")
+
+        # Sharpshooter
+        if identity["sharpshooter_score"] > 0.55:
+            strengths.append("Strong aim and headshot conversion")
+        elif identity["sharpshooter_score"] < 0.45:
+            weaknesses.append("Weak aim consistency")
+            
+        # Domination Objective
+        if identity["objdom_score"] > 0.55:
+            strengths.append("Strong Domination objective presence")
+        elif identity["objdom_score"] < 0.45:
+            weaknesses.append("Weak Domination objective presence") 
+
+         
+
+        # --- UI Window ---
+        win = tk.Toplevel(self.root)
+        win.title(f"Team Identity — {team}")
+        win.geometry("400x500")
+
+        output = tk.Text(win, wrap="word")
+        output.pack(expand=True, fill="both", padx=10, pady=10)
+
+        text = f"TEAM IDENTITY — {team}\n\n"
+
+        text += "Strengths:\n"
+        for s in strengths:
+            text += f"- {s}\n"
+
+        text += "\nWeaknesses:\n"
+        for w in weaknesses:
+            text += f"- {w}\n"
+
+        output.insert(tk.END, text)
+
+        def export():
+            content = output.get("1.0", tk.END).strip()
+            if not content:
+                messagebox.showerror("Error", "No team identity text to export.")
+                return
+            filename = f"team_identity_{team}.txt"
+            path = export_to_obs(filename, content)
+            messagebox.showinfo("Exported", f"Team identity exported to:\n{path}")
+
+        ttk.Button(win, text="Export to OBS", command=export).pack(pady=5)
+        
+        
+    def generate_player_tags(self, player_entry, map_type):
+        tags_out = []
+
+        # Slayer
+        slayer_strength = player_entry.get("slayer_strength")
+        if slayer_strength:
+            tags_out.append(slayer_strength)
+
+        # Payload Objective Specialist
+        if map_type == "Payload":
+            obj_pl = player_entry.get("objective_payload_score")
+            if obj_pl is not None:
+                tags_out.append(f"ObjPL {obj_pl:.2f}")
+
+        # Domination Specialist
+        if map_type == "Domination":
+            obj_dom = compute_dom_objective(player_entry)
+            tags_out.append(f"ObjDOM {obj_dom:.2f}")
+
+        # Sharpshooter
+        sharp = player_entry.get("sharpshooter_score")
+        if sharp is not None:
+            tags_out.append(f"Sharp {sharp:.2f}")
+
+        return ", ".join(tags_out)    
+        
+        
+
+    def on_match_storyline(self):
+        team_a = self.team_a_var.get()
+        team_b = self.team_b_var.get()
+
+        if not team_a or not team_b:
+            messagebox.showerror("Error", "Select both teams first.")
+            return
+
+        # --- Extract selected players for each team ---
+        teamA_players = [p for p in self.current_match_players if p.get("team") == team_a]
+        teamB_players = [p for p in self.current_match_players if p.get("team") == team_b]
+
+        if len(teamA_players) == 0 or len(teamB_players) == 0:
+            messagebox.showerror("Error", "No selected players for one or both teams.")
+            return
+
+        # --- Generate storyline + identity summary using SELECTED PLAYERS ---
+        storyline_text = matchup_storyline(teamA_players, teamB_players)
+        identity_text = compare_team_identity(teamA_players, teamB_players)
+
+        full_story = (
+            storyline_text
+            + "\n\n"
+            + "TEAM IDENTITY SUMMARY\n"
+            + identity_text
+        )
+
+        # --- Export to OBS ---
+        try:
+            with open("obs_exports/storyline.txt", "w", encoding="utf-8") as f:
+                f.write(full_story)
+        except Exception as e:
+            messagebox.showerror("File Error", f"Could not write storyline export:\n{e}")
+
+        # --- Display in popup window ---
+        win = tk.Toplevel(self.root)
+        win.title("Match Storyline")
+        win.geometry("500x600")
+
+        output = tk.Text(win, wrap="word")
+        output.pack(expand=True, fill="both", padx=10, pady=10)
+        output.insert(tk.END, full_story)
+
+        def export():
+            content = output.get("1.0", tk.END).strip()
+            if not content:
+                messagebox.showerror("Error", "No storyline text to export.")
+                return
+            path = export_to_obs("storyline.txt", content)
+            messagebox.showinfo("Exported", f"Storyline exported to:\n{path}")
+
+        ttk.Button(win, text="Export to OBS", command=export).pack(pady=5)
+
+    def on_rankings(self):
+        if not self.current_match_players:
+            messagebox.showerror("Error", "Generate player slots first.")
+            return
+
+        win = tk.Toplevel(self.root)
+        win.title("Rankings")
+        win.geometry("500x600")
+
+        tags = [
+            "Slayer",
+            "Payload Objective Specialist",
+            "Sharpshooter",
+            "Domination Objective Specialist",
+            "Consistency",
+            "Clutch",
+        ]
+
+        ttk.Label(win, text="Select Tag:").pack(anchor="w", padx=10, pady=5)
+        combo = ttk.Combobox(win, values=tags, state="readonly")
+        combo.pack(fill="x", padx=10)
+
+        output = tk.Text(win, wrap="word")
+        output.pack(expand=True, fill="both", padx=10, pady=10)
+
+        def show():
+            tag = combo.get()
+            if not tag:
+                return
+
+            team_a = self.team_a_var.get()
+            team_b = self.team_b_var.get()
+
+            if not team_a or not team_b:
+                messagebox.showerror("Error", "Select both teams first.")
+                return
+
+            if tag == "Slayer":
+                ranked = rank_match_players_slayer(self.current_match_players)
+
+            elif tag == "Payload Objective Specialist":
+                ranked = rank_match_players_objpl(self.current_match_players)
+
+            elif tag == "Domination Objective Specialist":
+                ranked = rank_match_players_objdom(self.current_match_players)
+                
+            elif tag == "Clutch":
+                ranked = rank_match_players_clutch(self.current_match_players)               
+
+            else:  # Sharpshooter
+                ranked = rank_match_players_sharpshooter(self.current_match_players)
+
+            if not ranked:
+                output.delete("1.0", tk.END)
+                output.insert(tk.END, "No data available for this tag.")
+                return
+
+            left, right = split_two_columns(ranked, team_a, team_b)
+
+            text = f"TOP {tag.upper()} PLAYERS (THIS MATCH):\n\n"
+
+            # Two-column layout, but keep global rank
+            max_rows = max(len(left), len(right))
+            text += f"{team_a:<24}{team_b}\n"
+            text += "-" * 48 + "\n"
+
+            for i in range(max_rows):
+                left_str = ""
+                right_str = ""
+
+                if i < len(left):
+                    lp = left[i]
+                    left_str = f"{lp['rank']:>2}. {lp['name']:<16} {lp['score_display']:>6}"
+
+                if i < len(right):
+                    rp = right[i]
+                    right_str = f"{rp['rank']:>2}. {rp['name']:<16} {rp['score_display']:>6}"
+
+                text += f"{left_str:<24}{right_str}\n"
+
+            # -----------------------------
+            # TEAM TOTALS & AVERAGES (COLUMN FORMAT)
+            # -----------------------------
+            teamA_total = sum(p["score_raw"] for p in left)
+            teamB_total = sum(p["score_raw"] for p in right)
+
+            teamA_avg = teamA_total / max(1, len(left))
+            teamB_avg = teamB_total / max(1, len(right))
+
+            text += "-" * 48 + "\n"
+            text += f"{team_a} Total: {teamA_total:.2f}".ljust(24)
+            text += f"{team_b} Total: {teamB_total:.2f}\n"
+
+            text += f"{team_a} Avg:   {teamA_avg:.2f}".ljust(24)
+            text += f"{team_b} Avg:   {teamB_avg:.2f}\n"
+            
+            
+            # -----------------------------
+            # DELTA (relative strength)
+            # -----------------------------
+            delta = teamB_avg - teamA_avg
+            if delta > 0:
+                fav_delta = team_b
+            elif delta < 0:
+                fav_delta = team_a
+            else:
+                fav_delta = "Neither team"
+
+            delta_mag = abs(delta)
+            text += f"Delta: {delta_mag:.2f} in favour of {fav_delta}\n"
+            
+            stronger_avg = max(teamA_avg, teamB_avg)
+            if stronger_avg > 0:
+                rel_adv = (delta_mag / stronger_avg) * 100
+            else:
+                rel_adv = 0.0
+
+            text += f"Relative Advantage: {rel_adv:.1f}%\n"
+
+            # -----------------------------
+            # WIN CHANCE + SWING
+            # -----------------------------
+            if tag == "Slayer":
+                pred = compute_slayer_prediction(left, right)
+                teamA_win = pred["teamA_win"]
+                teamB_win = pred["teamB_win"]
+            else:
+                # ObjPL win factor (simple logistic)
+                if max(teamA_avg, teamB_avg) == 0:
+                    edge = 0
+                else:
+                    edge = (teamB_avg - teamA_avg) / max(teamA_avg, teamB_avg)
+
+                k = 1.1
+                pB = 1 / (1 + math.exp(-k * edge))
+                pA = 1 - pB
+
+                teamA_win = round(pA * 100)
+                teamB_win = round(pB * 100)
+
+            swing = abs(teamA_win - teamB_win)
+            fav = team_a if teamA_win > teamB_win else team_b
+
+            text += f"Win Chance: {team_a} {teamA_win}% — {team_b} {teamB_win}%\n"
+            text += f"Win Swing:  {swing}% in favour of {fav}\n"
+            
+            # -----------------------------
+            # FORMULA EXPLANATION
+            # -----------------------------
+            if tag == "Slayer":
+                text += "\nSlayer Formula:\n"
+                text += "Slayer Score = (Damage per Map × 0.40) + (Kills per Map × 0.40) + (KD × 0.20)\n"
+
+            elif tag == "Sharpshooter":
+                text += "\nSharpshooter Formula:\n"
+                text += "Sharpshooter = (Accuracy × 0.40) + (Headshot Rate × 0.40) + (Damage per Shot × 0.20)\n"
+                text += "Where:\n"
+                text += "- Accuracy = Shots Hit / Shots Fired\n"
+                text += "- Headshot Rate = Headshots / Shots Hit\n"
+                text += "- Damage per Shot = Damage / Shots Fired\n"
+
+            elif tag == "Payload Objective Specialist":
+                text += "\nPayload Objective Formula:\n"
+                text += "ObjPL = (Presence × 0.40) + (PushTime Normalized × 0.40) + (PSI × 0.20)\n"
+                text += "Where:\n"
+                text += "- Presence = Player PushTime / Team PushTime\n"
+                text += "- PSI = Damage / (Deaths + 1) × 1 / sqrt(PushTime + 1)\n"
+
+            elif tag == "Domination Objective Specialist":
+                text += "\nDomination Objective Formula:\n"
+                text += "ObjDOM = (CapRate × 0.40) + (CounterRate × 0.60)\n"
+                text += "Where:\n"
+                text += "- CapRate = log(1 + DOM_captures) / log(21)\n"
+                text += "- CounterRate = log(1 + DOM_counters) / log(21)\n"
+                text += "Counters are weighted more heavily because they prevent enemy scoring.\n"
+                
+            elif tag == "Consistency":
+                text += "\nConsistency Formula:\n"
+                text += "Consistency = (Floor × 0.40) + (Stability × 0.40) + (Average Performance × 0.20)\n"
+                text += "Where:\n"
+                text += "- Per-Match Performance = (Slayer × 0.40) + (Objective × 0.40) + (Accuracy × 0.20)\n"
+                text += "- Floor = the player's lowest per-match performance score\n"
+                text += "- Stability = 1 / (1 + Adjusted Variance)\n"
+                text += "- Adjusted Variance = Variance × (1 + 1 / Match Count)\n"
+                
+            elif tag == "Clutch":
+                text += "\nClutch Formula:\n"
+                text += "Clutch = (Pressure Efficiency × 0.40) + (Collapse Avoidance × 0.40) + (Conversion Rate × 0.20)\n"
+                text += "Where:\n"
+                text += "- Pressure Efficiency = Damage / (Deaths + 1)\n"
+                text += "- Collapse Avoidance = Player's lowest per-map performance score\n"
+                text += "- Conversion Rate = (Accuracy × 0.50) + (Headshot Rate × 0.50)\n"    
+
+            output.delete("1.0", tk.END)
+            output.insert(tk.END, text)
+
+        def export():
+            content = output.get("1.0", tk.END).strip()
+            if not content:
+                messagebox.showerror("Error", "No rankings text to export.")
+                return
+            tag = combo.get() or "rankings"
+            filename = f"rankings_{tag}.txt"
+            path = export_to_obs(filename, content)
+            messagebox.showinfo("Exported", f"Rankings exported to:\n{path}")
+
+        ttk.Button(win, text="Show Rankings", command=show).pack(pady=5)
+        
+        
+    def export_all_obs_files(self):
+        """
+        Unified export function that writes all OBS text files
+        based on the current map type and current match players.
+        """
+
+        map_type = self.map_var.get()
+        team_a = self.team_a_var.get()
+        team_b = self.team_b_var.get()
+
+        # If teams or map not selected, skip silently
+        if not map_type or not team_a or not team_b:
+            return
+
+        # --- Extract selected players for each team ---
+        teamA_players = [p for p in self.current_match_players if p.get("team") == team_a]
+        teamB_players = [p for p in self.current_match_players if p.get("team") == team_b]
+
+        # If either team has no selected players, skip storyline/predictions
+        if len(teamA_players) == 0 or len(teamB_players) == 0:
+            print("OBS export skipped: no selected players for one or both teams.")
+            return
+
+        # --- STORYLINE + TEAM IDENTITY ---
+        try:
+            storyline_text = matchup_storyline(teamA_players, teamB_players)
+            identity_text = compare_team_identity(teamA_players, teamB_players)
+
+            full_story = storyline_text + "\n\nTEAM IDENTITY SUMMARY\n" + identity_text
+
+            write_text(os.path.join("obs_exports", "storyline.txt"), full_story)
+        except Exception as e:
+            print("Storyline export failed:", e)
+
+        # --- PREDICTIONS (composition-aware) ---
+        try:
+            if hasattr(self, "generate_predictions"):
+                predictions = self.generate_predictions(teamA_players, teamB_players)
+                write_text(os.path.join("obs_exports", "predictions.txt"), predictions)
+        except Exception as e:
+            print("Prediction export failed:", e)
+
+        # --- PLAYER TAG EXPORTS ---
+        try:
+            career_path = os.path.join(BASE_DIR, "career_stats.json")
+            if os.path.exists(career_path):
+                with open(career_path, "r", encoding="utf-8") as f:
+                    career_db = json.load(f)
+
+                for idx, p in enumerate(self.current_match_players):
+                    pid = p.get("id")
+                    if pid and pid in career_db["players"]:
+                        player_entry = career_db["players"][pid]
+                        tags_text = self.generate_player_tags(player_entry, map_type)
+
+                        slot_path = os.path.join(PLAYERS_DIR, f"p{idx}", "Tags.txt")
+                        write_text(slot_path, tags_text)
+        except Exception as e:
+            print("Tag export failed:", e)
+
+        print(f"OBS files updated for {map_type}")   
+
+
+def main():
+    root = tk.Tk()
+    app = DashLeagueGUI(root)
+    root.mainloop()
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/data/__init__.py b/data/__init__.py
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new file mode 100644
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diff --git a/data/cache/players/f2d44079-6774-433e-8c8c-127d3ed9c8fc_matches.json b/data/cache/players/f2d44079-6774-433e-8c8c-127d3ed9c8fc_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f2d44079-6774-433e-8c8c-127d3ed9c8fc_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f38b112d-f6d6-4bed-a1ef-6276d8a13ee4_matches.json b/data/cache/players/f38b112d-f6d6-4bed-a1ef-6276d8a13ee4_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f38b112d-f6d6-4bed-a1ef-6276d8a13ee4_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f3bd1e18-16f0-40fb-a207-b0c3dfa42b3f_matches.json b/data/cache/players/f3bd1e18-16f0-40fb-a207-b0c3dfa42b3f_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f3bd1e18-16f0-40fb-a207-b0c3dfa42b3f_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f3cdb66c-17b6-4c80-8391-61d44000e70e_matches.json b/data/cache/players/f3cdb66c-17b6-4c80-8391-61d44000e70e_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f3cdb66c-17b6-4c80-8391-61d44000e70e_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f40d5427-76ad-43aa-a7f5-ed72bcfa1268_matches.json b/data/cache/players/f40d5427-76ad-43aa-a7f5-ed72bcfa1268_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f40d5427-76ad-43aa-a7f5-ed72bcfa1268_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f41202e4-941f-4505-b3f5-958537530bee_matches.json b/data/cache/players/f41202e4-941f-4505-b3f5-958537530bee_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f41202e4-941f-4505-b3f5-958537530bee_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f51d7da5-4c1d-4816-81ea-880477d8f479_matches.json b/data/cache/players/f51d7da5-4c1d-4816-81ea-880477d8f479_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f51d7da5-4c1d-4816-81ea-880477d8f479_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f5580e2e-4211-40b5-8355-1b1deebf3211_matches.json b/data/cache/players/f5580e2e-4211-40b5-8355-1b1deebf3211_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f5580e2e-4211-40b5-8355-1b1deebf3211_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f5696e0c-678b-48b4-ad7a-4ecff1b44ef3_matches.json b/data/cache/players/f5696e0c-678b-48b4-ad7a-4ecff1b44ef3_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f5696e0c-678b-48b4-ad7a-4ecff1b44ef3_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f5856dc7-7108-4ac0-a0f9-15bce5289afb_matches.json b/data/cache/players/f5856dc7-7108-4ac0-a0f9-15bce5289afb_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f5856dc7-7108-4ac0-a0f9-15bce5289afb_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f8282050-fb2e-4ba6-8185-2145a04534ea_matches.json b/data/cache/players/f8282050-fb2e-4ba6-8185-2145a04534ea_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f8282050-fb2e-4ba6-8185-2145a04534ea_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f87a91bf-7bf2-4fb2-9887-29c95236066f_matches.json b/data/cache/players/f87a91bf-7bf2-4fb2-9887-29c95236066f_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f87a91bf-7bf2-4fb2-9887-29c95236066f_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f8b33477-e6a2-4cf0-bf1e-1d15ab480423_matches.json b/data/cache/players/f8b33477-e6a2-4cf0-bf1e-1d15ab480423_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f8b33477-e6a2-4cf0-bf1e-1d15ab480423_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/f9956e95-cb58-492d-85c6-a33d96797ea7_matches.json b/data/cache/players/f9956e95-cb58-492d-85c6-a33d96797ea7_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/f9956e95-cb58-492d-85c6-a33d96797ea7_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/fa15bb36-ebd5-4133-884a-9d14e90802fc_matches.json b/data/cache/players/fa15bb36-ebd5-4133-884a-9d14e90802fc_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/fa15bb36-ebd5-4133-884a-9d14e90802fc_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/fa8aa644-ed54-403b-ba77-0eb75fb5e4c2_matches.json b/data/cache/players/fa8aa644-ed54-403b-ba77-0eb75fb5e4c2_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/fa8aa644-ed54-403b-ba77-0eb75fb5e4c2_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/fb3fc116-2c06-4ae4-ac71-7b82c1040d97_matches.json b/data/cache/players/fb3fc116-2c06-4ae4-ac71-7b82c1040d97_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/fb3fc116-2c06-4ae4-ac71-7b82c1040d97_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/fc50020b-59bf-4ca4-a83f-3083867fcee2_matches.json b/data/cache/players/fc50020b-59bf-4ca4-a83f-3083867fcee2_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/fc50020b-59bf-4ca4-a83f-3083867fcee2_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/fcfa2281-b6d8-436c-a4dc-bba973586d60_matches.json b/data/cache/players/fcfa2281-b6d8-436c-a4dc-bba973586d60_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/fcfa2281-b6d8-436c-a4dc-bba973586d60_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/cache/players/fd4477dc-a503-4a5a-bc56-ab318002ba2d_matches.json b/data/cache/players/fd4477dc-a503-4a5a-bc56-ab318002ba2d_matches.json
new file mode 100644
index 0000000..0637a08
--- /dev/null
+++ b/data/cache/players/fd4477dc-a503-4a5a-bc56-ab318002ba2d_matches.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/data/career_db.py b/data/career_db.py
new file mode 100644
index 0000000..10ac85e
--- /dev/null
+++ b/data/career_db.py
@@ -0,0 +1,258 @@
+import os
+import json
+from collections import defaultdict
+import requests
+
+CACHE_DIR = os.path.join(os.path.dirname(__file__), "cache")
+SEASON_CACHE_DIR = os.path.join(CACHE_DIR, "seasons")
+
+os.makedirs(SEASON_CACHE_DIR, exist_ok=True)
+
+from tags.slayer import compute_slayer_for_career_player
+from tags.objective_payload import compute_payload_objective_for_career_player
+from tags.sharpshooter import compute_sharpshooter_for_career_player
+from tags.consistency import compute_consistency
+
+
+BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+API_BASE = "https://dashleague.games/api/v1"
+
+
+def fetch_json(url):
+    resp = requests.get(url, timeout=10)
+    resp.raise_for_status()
+    return resp.json()
+
+
+def detect_valid_seasons(max_season=50):
+    valid = []
+    for season in range(0, max_season + 1):
+        try:
+            url = f"{API_BASE}/stats?season={season}"
+            resp = requests.get(url, timeout=10)
+            if resp.status_code != 200:
+                continue
+            data = resp.json()
+            season_stats = data.get("data", [])
+            if isinstance(season_stats, list) and len(season_stats) > 0:
+                valid.append(season)
+        except Exception:
+            continue
+    return valid
+
+
+def fetch_season_stats(season):
+    url = f"{API_BASE}/stats?season={season}"
+    data = fetch_json(url)
+    return data.get("data", [])
+
+
+def build_career_database(output_path):
+    seasons = detect_valid_seasons()
+    if not seasons:
+        print("No valid seasons found. Aborting career DB build.")
+        return False
+
+    players = {}
+    league_accumulator = defaultdict(float)
+    league_counts = defaultdict(int)
+
+    for season in seasons:
+        season_stats = fetch_season_stats(season)
+        if not isinstance(season_stats, list):
+            continue
+
+        for entry in season_stats:
+            if not isinstance(entry, dict):
+                continue
+                
+            # Normalize inconsistent keys
+            if "loss" in entry and "losses" not in entry:
+                entry["losses"] = entry["loss"]
+
+            if "shots" not in entry:
+                entry["shots"] = 0
+
+            if "shots_hit" not in entry:
+                entry["shots_hit"] = 0
+
+            if "headshots" not in entry:
+                entry["headshots"] = 0
+
+            if "damage" not in entry:
+                entry["damage"] = 0
+
+            if "maps" not in entry or entry["maps"] in (None, "Coming Soon!"):
+                entry["maps"] = 0
+
+            if "accuracy" not in entry or isinstance(entry["accuracy"], str):
+                entry["accuracy"] = 0.0               
+                
+            pid = entry.get("id")
+            if not pid:
+                continue
+
+            if pid not in players:
+                players[pid] = {
+                    "name": entry.get("name", "Unknown"),
+                    "team_history": set(),
+                    "seasons_played": set(),
+                    "per_season": {},
+                    "career_raw": defaultdict(float)
+                }
+
+            p = players[pid]
+            team = entry.get("team") or "No Team"
+            p["team_history"].add(team)
+            p["seasons_played"].add(season)
+            p["per_season"][str(season)] = entry
+
+            for key in [
+                "kills",
+                "deaths",
+                "headshots",
+                "accuracy",
+                "PAY_PushTime",
+                "DOM_captures",
+                "DOM_counters",
+                "maps",
+                "wins",
+                "losses",
+                "damage",
+                "shots",
+                "shots_hit",
+            ]:
+                if key in entry:
+                    p["career_raw"][key] += entry.get(key, 0)
+
+            if "KD" in entry:
+                league_accumulator["KD"] += entry["KD"]
+                league_counts["KD"] += 1
+            if "accuracy" in entry:
+                league_accumulator["accuracy"] += entry["accuracy"]
+                league_counts["accuracy"] += 1
+            if "kills" in entry and "maps" in entry and entry["maps"] > 0:
+                league_accumulator["kills_per_map"] += entry["kills"] / entry["maps"]
+                league_counts["kills_per_map"] += 1
+            if "damage" in entry and "maps" in entry and entry["maps"] > 0:
+                league_accumulator["damage_per_map"] += entry["damage"] / entry["maps"]
+                league_counts["damage_per_map"] += 1
+            if "PAY_PushTime" in entry:
+                league_accumulator["push_time_per_season"] += entry["PAY_PushTime"]
+                league_counts["push_time_per_season"] += 1
+
+    league_averages = {}
+    for key in league_accumulator:
+        league_averages[key] = league_accumulator[key] / max(1, league_counts[key])
+
+    final_db = {"players": {}, "league_averages": league_averages}
+
+    for pid, pdata in players.items():
+        
+         # 🔥 Skip players with no valid stats
+        if "career_raw" not in pdata or not pdata["career_raw"]:
+            continue
+            
+        # print("DEBUG PLAYER:", pid, pdata["career_raw"])    
+
+        raw = pdata["career_raw"]
+
+        # 🔥 Ensure maps always exists
+        if "maps" not in raw:
+            raw["maps"] = 0
+
+        maps = raw["maps"] if raw["maps"] > 0 else 1
+        seasons_played = len(pdata["seasons_played"])
+
+        kills_per_map = raw["kills"] / maps
+        deaths_per_map = raw["deaths"] / maps
+        push_time_per_season = raw["PAY_PushTime"] / max(1, seasons_played)
+
+        KD = raw["kills"] / raw["deaths"] if raw["deaths"] > 0 else raw["kills"]
+        accuracy = raw["accuracy"] / max(1, seasons_played)
+
+        derived = {
+            "kills_per_map": kills_per_map,
+            "deaths_per_map": deaths_per_map,
+            "push_time_per_season": push_time_per_season,
+        }
+
+        final_db["players"][pid] = {
+            "name": pdata["name"],
+            "team_history": list(pdata["team_history"]),
+            "seasons_played": list(pdata["seasons_played"]),
+            "per_season": pdata["per_season"],
+            "career": {
+                "kills": raw["kills"],
+                "deaths": raw["deaths"],
+                "KD": KD,
+                "accuracy": accuracy,
+                "push_time": raw["PAY_PushTime"],
+                "captures": raw["DOM_captures"],
+                "counters": raw["DOM_counters"],
+                "maps": raw["maps"],
+                "wins": raw["wins"],
+                "losses": raw["losses"],
+                "damage": raw["damage"],
+                "shots": raw.get("shots", 0),
+                "shots_hit": raw.get("shots_hit", 0),
+                "headshots": raw.get("headshots", 0),
+                "damage_dealt": raw.get("damage", 0),
+            },
+            "derived": derived,
+        }
+        
+        from data.player_history import get_player_match_history
+
+        final_db["players"][pid]["matches"] = get_player_match_history(pid)
+
+
+                   
+
+     # Compute all tag scores per player
+    for pid, pdata in final_db["players"].items():
+
+        # 🔥 Skip players missing a career block
+        if "career" not in pdata:
+            print("SKIPPING PLAYER WITH NO CAREER:", pid)
+            continue
+
+        # Slayer
+        slayer_info = compute_slayer_for_career_player(pdata, league_averages)
+        pdata["slayer_score_raw"] = slayer_info["score_raw"]
+        pdata["slayer_score_display"] = slayer_info["score_display"]
+        pdata["slayer_strength"] = slayer_info["strength"]
+
+        # Sharpshooter
+        sharp = compute_sharpshooter_for_career_player(pdata["career"])
+        pdata["sharpshooter"] = sharp
+
+        # Payload Objective Specialist
+        obj_components = compute_payload_objective_for_career_player(pdata, league_averages)
+        pdata["objective_payload_components"] = obj_components
+        
+        
+         # --- Consistency Tag ---
+        from tags.consistency import compute_consistency
+
+        matches = pdata.get("matches", [])
+
+        consistency_raw, components = compute_consistency(matches)
+
+        pdata["consistency_components"] = {
+            **components,
+            "consistency_raw": consistency_raw,
+            "consistency_norm": components.get("consistency_norm", consistency_raw)
+        }
+        
+        # --- Clutch Tag ---
+        from tags.clutch import compute_clutch
+
+        pdata["clutch_components"] = {
+            "clutch_norm": compute_clutch(pdata, league_averages)
+        }
+
+    with open(output_path, "w", encoding="utf-8") as f:
+        json.dump(final_db, f, indent=2)
+
+    return True
\ No newline at end of file
diff --git a/data/match_cache.py b/data/match_cache.py
new file mode 100644
index 0000000..ca4b49e
--- /dev/null
+++ b/data/match_cache.py
@@ -0,0 +1,46 @@
+import os
+import json
+import requests
+
+BASE = "https://dashleague.games/api/v1"
+
+CACHE_DIR = os.path.join(os.path.dirname(__file__), "cache")
+MATCH_CACHE_DIR = os.path.join(CACHE_DIR, "matches")
+
+os.makedirs(MATCH_CACHE_DIR, exist_ok=True)
+
+
+def fetch_match_details(match_id):
+    """
+    Returns full match details for a given match_id.
+    Uses cache if available.
+    """
+
+    cache_path = os.path.join(MATCH_CACHE_DIR, f"{match_id}.json")
+
+    # --- Use cached file if it exists ---
+    if os.path.exists(cache_path):
+        try:
+            with open(cache_path, "r", encoding="utf-8") as f:
+                return json.load(f)
+        except Exception:
+            pass  # fall through to API fetch
+
+    # --- Fetch from API ---
+    url = f"{BASE}/match/{match_id}"
+
+    try:
+        resp = requests.get(url, timeout=10)
+        resp.raise_for_status()
+        match_data = resp.json()
+    except Exception:
+        return {}
+
+    # --- Cache the result ---
+    try:
+        with open(cache_path, "w", encoding="utf-8") as f:
+            json.dump(match_data, f, indent=2)
+    except Exception:
+        pass  # caching failure shouldn't break functionality
+
+    return match_data
\ No newline at end of file
diff --git a/data/match_history.py b/data/match_history.py
new file mode 100644
index 0000000..57a7a03
--- /dev/null
+++ b/data/match_history.py
@@ -0,0 +1,54 @@
+import requests
+
+BASE = "https://dashleague.games/api/v1"
+
+def fetch_player_match_history(player_id):
+    """
+    Builds full match history for a player by iterating all seasons and matches.
+    Returns a list of per-match stat dicts.
+    """
+
+    # 1. Fetch all seasons
+    seasons_resp = requests.get(f"{BASE}/seasons")
+    seasons = seasons_resp.json()
+
+    history = []
+
+    for season in seasons:
+        sid = season.get("id")
+        if not sid:
+            continue
+
+        # 2. Fetch all matches in this season
+        matches_resp = requests.get(f"{BASE}/seasons/{sid}/matches")
+        matches = matches_resp.json()
+
+        for match in matches:
+            mid = match.get("id")
+            if not mid:
+                continue
+
+            # 3. Fetch full match details
+            detail_resp = requests.get(f"{BASE}/match/{mid}")
+            detail = detail_resp.json()
+
+            mode = detail.get("mode", "").lower()
+
+            # 4. Find player in match
+            for p in detail.get("players", []):
+                if p.get("id") == player_id:
+
+                    entry = {
+                        "kills": p.get("kills", 0),
+                        "deaths": p.get("deaths", 0),
+                        "accuracy": p.get("accuracy", 0.0),
+                        "damage": p.get("damage", 0),
+                        "push_time": p.get("PAY_PushTime", 0),
+                        "captures": p.get("DOM_captures", 0),
+                        "counters": p.get("DOM_counters", 0),
+                        "mode": mode
+                    }
+
+                    history.append(entry)
+
+    return history
\ No newline at end of file
diff --git a/data/player_history.py b/data/player_history.py
new file mode 100644
index 0000000..463586d
--- /dev/null
+++ b/data/player_history.py
@@ -0,0 +1,106 @@
+import os
+import json
+import requests
+
+from data.season_cache import fetch_season_match_list, BASE as API_BASE
+from data.match_cache import fetch_match_details
+
+CACHE_DIR = os.path.join(os.path.dirname(__file__), "cache")
+PLAYER_CACHE_DIR = os.path.join(CACHE_DIR, "players")
+SEASON_CACHE_DIR = os.path.join(CACHE_DIR, "seasons")
+
+os.makedirs(PLAYER_CACHE_DIR, exist_ok=True)
+os.makedirs(SEASON_CACHE_DIR, exist_ok=True)
+
+
+def _detect_cached_seasons():
+    out = []
+    for filename in os.listdir(SEASON_CACHE_DIR):
+        if filename.endswith("_matches.json"):
+            sid = filename.replace("_matches.json", "")
+            if sid.isdigit():
+                out.append(sid)
+    return out
+
+
+def _fetch_all_seasons_from_api():
+    try:
+        resp = requests.get(f"{API_BASE}/seasons", timeout=10)
+        resp.raise_for_status()
+        return resp.json()
+    except Exception as e:
+        print("ERROR fetching seasons:", e)
+        return []
+
+
+def get_player_match_history(player_id):
+    """Build full match history for a player using cached data."""
+
+    cache_path = os.path.join(PLAYER_CACHE_DIR, f"{player_id}_matches.json")
+
+    # --- Use cached player history if available ---
+    if os.path.exists(cache_path):
+        try:
+            with open(cache_path, "r", encoding="utf-8") as f:
+                return json.load(f)
+        except Exception as e:
+            print("ERROR reading cached player history:", e)
+
+    history = []
+
+    # --- Load cached seasons ---
+    seasons = _detect_cached_seasons()
+
+    # --- If no cached seasons exist, fetch them ---
+    if not seasons:
+        print("No cached seasons found. Fetching from API...")
+        season_list = _fetch_all_seasons_from_api()
+
+        for s in season_list:
+            sid = s.get("id")
+            if sid:
+                print(f"Caching season {sid} match list...")
+                fetch_season_match_list(sid)
+
+        seasons = _detect_cached_seasons()
+
+    # --- Process each season ---
+    for season_id in seasons:
+        print(f"Processing season {season_id}...")
+        match_list = fetch_season_match_list(season_id)
+
+        for match_entry in match_list:
+            match_id = match_entry.get("id")
+            if not match_id:
+                continue
+
+            match_data = fetch_match_details(match_id)
+            if not match_data:
+                continue
+
+            mode = match_data.get("mode", "").lower()
+
+            for p in match_data.get("players", []):
+                if p.get("id") == player_id:
+
+                    entry = {
+                        "kills": p.get("kills", 0),
+                        "deaths": p.get("deaths", 0),
+                        "accuracy": p.get("accuracy", 0.0),
+                        "damage": p.get("damage", 0),
+                        "push_time": p.get("PAY_PushTime", 0),
+                        "captures": p.get("DOM_captures", 0),
+                        "counters": p.get("DOM_counters", 0),
+                        "mode": mode
+                    }
+
+                    history.append(entry)
+
+    # --- Cache the built history ---
+    try:
+        with open(cache_path, "w", encoding="utf-8") as f:
+            json.dump(history, f, indent=2)
+    except Exception as e:
+        print("ERROR writing player history:", e)
+
+    return history
\ No newline at end of file
diff --git a/data/season_cache.py b/data/season_cache.py
new file mode 100644
index 0000000..33af933
--- /dev/null
+++ b/data/season_cache.py
@@ -0,0 +1,48 @@
+import os
+import json
+import requests
+
+BASE = "https://dashleague.games/api/v1"
+
+# Cache directories
+CACHE_DIR = os.path.join(os.path.dirname(__file__), "cache")
+SEASON_CACHE_DIR = os.path.join(CACHE_DIR, "seasons")
+
+# Ensure folders exist
+os.makedirs(SEASON_CACHE_DIR, exist_ok=True)
+
+
+def fetch_season_match_list(season_id):
+    """
+    Returns the list of matches for a season.
+    Uses cache if available.
+    """
+
+    cache_path = os.path.join(SEASON_CACHE_DIR, f"{season_id}_matches.json")
+
+    # --- Use cached file if it exists ---
+    if os.path.exists(cache_path):
+        try:
+            with open(cache_path, "r", encoding="utf-8") as f:
+                return json.load(f)
+        except Exception:
+            pass  # fall through to API fetch
+
+    # --- Fetch from API ---
+    url = f"{BASE}/seasons/{season_id}/matches"
+
+    try:
+        resp = requests.get(url, timeout=10)
+        resp.raise_for_status()
+        matches = resp.json()
+    except Exception:
+        return []
+
+    # --- Cache the result ---
+    try:
+        with open(cache_path, "w", encoding="utf-8") as f:
+            json.dump(matches, f, indent=2)
+    except Exception:
+        pass  # caching failure shouldn't break functionality
+
+    return matches
\ No newline at end of file
diff --git a/match_engine.py b/match_engine.py
new file mode 100644
index 0000000..3a08312
--- /dev/null
+++ b/match_engine.py
@@ -0,0 +1,220 @@
+# match_engine.py
+
+import os
+import json
+import math
+
+from tags.objective_payload import compute_payload_objective_team_scores
+from tags.objective_domination import compute_dom_objective
+
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+CAREER_DB_PATH = os.path.join(BASE_DIR, "career_stats.json")
+
+
+def load_career_db():
+    if not os.path.exists(CAREER_DB_PATH):
+        return None
+    with open(CAREER_DB_PATH, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+
+def _get_player_entry(db, pid):
+    return db["players"].get(str(pid)) or db["players"].get(pid)
+
+
+def rank_match_players_slayer(match_players):
+    """
+    match_players: list of dicts from stats API (current season),
+    each with at least: id, name, team
+    Returns: list of ranked players with slayer info
+    """
+    db = load_career_db()
+    if db is None:
+        return []
+
+    ranked = []
+    for p in match_players:
+        pid = p.get("id")
+        entry = _get_player_entry(db, pid)
+        if not entry:
+            continue
+        score = entry.get("slayer_score_raw", 0.0)
+        if score <= 0:
+            continue
+        ranked.append({
+            "id": pid,
+            "name": entry["name"],
+            "team": entry["team_history"][-1] if entry["team_history"] else p.get("team", "Unknown"),
+            "score_raw": score,
+            "score_display": entry.get("slayer_score_display", f"{score:.2f}"),
+        })
+
+    ranked.sort(key=lambda x: x["score_raw"], reverse=True)
+    for i, r in enumerate(ranked, 1):
+        r["rank"] = i
+    return ranked
+    
+def rank_match_players_objdom(players):
+    """
+    Rank players by Domination Objective Specialist score.
+    players = list of player_entry dicts for the current match.
+    """
+
+    ranked = []
+    for p in players:
+        score = compute_dom_objective(p)
+        ranked.append({
+            "name": p["name"],
+            "team": p["team"],
+            "score_raw": score,
+            "score_display": f"{score:.2f}",
+        })
+
+    # Sort high → low
+    ranked.sort(key=lambda x: x["score_raw"], reverse=True)
+
+    # Assign global rank
+    for i, entry in enumerate(ranked, start=1):
+        entry["rank"] = i
+
+    return ranked    
+
+
+def rank_match_players_objpl(match_players):
+    """
+    match_players: list of dicts from stats API (current season),
+    each with at least: id, name, team
+    Returns: list of ranked players with ObjPL score
+    """
+    db = load_career_db()
+    if db is None:
+        return []
+
+    # Build team entries for ObjPL engine
+    team_entries = []
+    for p in match_players:
+        pid = p.get("id")
+        entry = _get_player_entry(db, pid)
+        if not entry:
+            continue
+        if "objective_payload_components" not in entry:
+            continue
+        team_entries.append((pid, entry))
+
+    if not team_entries:
+        return []
+
+    obj_scores = compute_payload_objective_team_scores(team_entries)
+
+    ranked = []
+    for pid, entry in team_entries:
+        score = obj_scores.get(pid, 0.0)
+        if score <= 0:
+            continue
+        ranked.append({
+            "id": pid,
+            "name": entry["name"],
+            "team": entry["team_history"][-1] if entry["team_history"] else "Unknown",
+            "score_raw": score,
+            "score_display": f"{score:.2f}",
+        })
+
+    ranked.sort(key=lambda x: x["score_raw"], reverse=True)
+    for i, r in enumerate(ranked, 1):
+        r["rank"] = i
+    return ranked
+
+
+def split_two_columns(ranked_players, team_a_name, team_b_name):
+    """
+    Keeps global rank 1–N, but splits into left/right columns by team.
+    """
+    left = []
+    right = []
+    for p in ranked_players:
+        if p["team"] == team_a_name:
+            left.append(p)
+        elif p["team"] == team_b_name:
+            right.append(p)
+        else:
+            # If team name mismatch, leave them out of columns
+            pass
+    return left, right
+
+
+def compute_slayer_prediction(team_a_players, team_b_players):
+    """
+    team_a_players / team_b_players: lists of ranked player dicts with slayer_score_raw
+    Returns dict with team averages and win chances.
+    """
+    A = [p["score_raw"] for p in team_a_players]
+    B = [p["score_raw"] for p in team_b_players]
+
+    teamA_avg = sum(A) / max(1, len(A))
+    teamB_avg = sum(B) / max(1, len(B))
+
+    if max(teamA_avg, teamB_avg) == 0:
+        slayer_edge = 0
+    else:
+        slayer_edge = (teamB_avg - teamA_avg) / max(teamA_avg, teamB_avg)
+
+    k = 1.1
+    pB = 1 / (1 + math.exp(-k * slayer_edge))
+    pA = 1 - pB
+
+    return {
+        "teamA_avg": teamA_avg,
+        "teamB_avg": teamB_avg,
+        "teamA_win": round(pA * 100),
+        "teamB_win": round(pB * 100),
+    }
+    
+def rank_match_players_sharpshooter(match_players):
+    db = load_career_db()
+    if db is None:
+        return []
+
+    ranked = []
+    for p in match_players:
+        pid = p.get("id")
+        entry = _get_player_entry(db, pid)
+        if not entry:
+            continue
+
+        sharp = entry.get("sharpshooter", {})
+        score = sharp.get("score_raw", 0.0)
+        if score <= 0:
+            continue
+
+        ranked.append({
+            "id": pid,
+            "name": entry["name"],
+            "team": entry["team_history"][-1] if entry["team_history"] else p.get("team", "Unknown"),
+            "score_raw": score,
+            "score_display": sharp.get("score_display", f"{score:.2f}"),
+        })
+
+    ranked.sort(key=lambda x: x["score_raw"], reverse=True)
+    for i, r in enumerate(ranked, 1):
+        r["rank"] = i
+
+    return ranked
+    
+def rank_match_players_clutch(players):
+    ranked = []
+    for p in players:
+        score = p.get("clutch_components", {}).get("clutch_norm", 0.0)
+        ranked.append({
+            "name": p.get("name", "Unknown"),
+            "team": p.get("team", ""),
+            "score_raw": score,
+            "score_display": f"{score:.2f}",
+        })
+
+    ranked.sort(key=lambda x: x["score_raw"], reverse=True)
+
+    for i, r in enumerate(ranked, start=1):
+        r["rank"] = i
+
+    return ranked
+    
\ No newline at end of file
diff --git a/players.json b/players.json
new file mode 100644
index 0000000..a15b75f
--- /dev/null
+++ b/players.json
@@ -0,0 +1,4082 @@
+{
+  "46dd1676-9db5-4f3f-82eb-2b1de6b285cd": {
+    "id": "46dd1676-9db5-4f3f-82eb-2b1de6b285cd",
+    "name": " Johnny",
+    "team": "SWUA",
+    "tier": "Sprinter",
+    "seasons": 2,
+    "KD": 1.14,
+    "kills": 833,
+    "deaths": 728,
+    "headshots": 483,
+    "accuracy": 15.48,
+    "PAY_PushTime": 529,
+    "DOM_captures": 239,
+    "DOM_counters": 44,
+    "normalized_name": "johnny"
+  },
+  "b6d72af8-5086-4913-96e7-68cb74600fa4": {
+    "id": "b6d72af8-5086-4913-96e7-68cb74600fa4",
+    "name": "_project.x_",
+    "team": "No Team",
+    "tier": "Unknown",
+    "seasons": 3,
+    "KD": 1.05,
+    "kills": 46,
+    "deaths": 44,
+    "headshots": 15,
+    "accuracy": 13.63,
+    "PAY_PushTime": 0,
+    "DOM_captures": 29,
+    "DOM_counters": 2,
+    "normalized_name": "project_x"
+  },
+  "ded0f10d-aec5-4447-9b4f-3c5694501aaf": {
+    "id": "ded0f10d-aec5-4447-9b4f-3c5694501aaf",
+    "name": "!PIKATHUNDER!",
+    "team": "Doc!",
+    "tier": "Walker",
+    "seasons": 2,
+    "KD": 0.97,
+    "kills": 645,
+    "deaths": 666,
+    "headshots": 318,
+    "accuracy": 10.26,
+    "PAY_PushTime": 110,
+    "DOM_captures": 164,
+    "DOM_counters": 34,
+    "normalized_name": "pikathunder"
+  },
+  "23894346-a051-4a96-a2dc-8903d07a5a41": {
+    "id": "23894346-a051-4a96-a2dc-8903d07a5a41",
+    "name": ".com",
+    "team": "No Team",
+    "tier": "Unknown",
+    "seasons": 8,
+    "KD": 1.33,
+    "kills": 419,
+    "deaths": 315,
+    "headshots": 222,
+    "accuracy": 14.05,
+    "PAY_PushTime": 3,
+    "DOM_captures": 273,
+    "DOM_counters": 39,
+    "normalized_name": "com"
+  },
+  "07800c5d-324c-4c57-9745-711a67f1c300": {
+    "id": "07800c5d-324c-4c57-9745-711a67f1c300",
+    "name": "(**)reSonance",
+    "team": "DMND",
+    "tier": "Sprinter",
+    "seasons": 1,
+    "KD": 0.74,
+    "kills": 533,
+    "deaths": 725,
+    "headshots": 201,
+    "accuracy": 12.76,
+    "PAY_PushTime": 629,
+    "DOM_captures": 148,
+    "DOM_counters": 29,
+    "normalized_name": "resonance"
+  },
+  "560e6293-733b-4c25-b08d-5571ca58227f": {
+    "id": "560e6293-733b-4c25-b08d-5571ca58227f",
+    "name": "(ded)Dave",
+    "team": "EMU",
+    "tier": "Walker",
+    "seasons": 3,
+    "KD": 0.46,
+    "kills": 275,
+    "deaths": 593,
+    "headshots": 147,
+    "accuracy": 10.8,
+    "PAY_PushTime": 464,
+    "DOM_captures": 99,
+    "DOM_counters": 41,
+    "normalized_name": "ded_dave"
+  },
+  "0bba8173-6784-4795-96fd-88dedfe2b21f": {
+    "id": "0bba8173-6784-4795-96fd-88dedfe2b21f",
+    "name": "| @L!3N R3@P3R |",
+    "team": "Doc!",
+    "tier": "Walker",
+    "seasons": 1,
+    "KD": 0.94,
+    "kills": 456,
+    "deaths": 486,
+    "headshots": 217,
+    "accuracy": 9.31,
+    "PAY_PushTime": 212,
+    "DOM_captures": 177,
+    "DOM_counters": 33,
+    "normalized_name": "l_3n_r3_p3r"
+  },
+  "556f17f5-9ad7-4805-ae94-3d75ca14438f": {
+    "id": "556f17f5-9ad7-4805-ae94-3d75ca14438f",
+    "name": "098",
+    "team": "DRGN",
+    "tier": "Dasher",
+    "seasons": 1,
+    "KD": 0.96,
+    "kills": 541,
+    "deaths": 566,
+    "headshots": 238,
+    "accuracy": 8.61,
+    "PAY_PushTime": 103,
+    "DOM_captures": 203,
+    "DOM_counters": 42,
+    "normalized_name": "098"
+  },
+  "7a5ad93a-253e-4740-bf1c-97d33f6142ba": {
+    "id": "7a5ad93a-253e-4740-bf1c-97d33f6142ba",
+    "name": "101",
+    "team": "No Team",
+    "tier": "Unknown",
+    "seasons": 2,
+    "KD": 0.72,
+    "kills": 18,
+    "deaths": 25,
+    "headshots": 11,
+    "accuracy": 6.13,
+    "PAY_PushTime": 0,
+    "DOM_captures": 6,
+    "DOM_counters": 6,
+    "normalized_name": "101"
+  },
+  "fe6719f1-533d-4a18-a09c-51e155a0d267": {
+    "id": "fe6719f1-533d-4a18-a09c-51e155a0d267",
+    "name": "2Goose2Furious",
+    "team": "SKY",
+    "tier": "Walker",
+    "seasons": 5,
+    "KD": 0.69,
+    "kills": 264,
+    "deaths": 381,
+    "headshots": 125,
+    "accuracy": 13.18,
+    "PAY_PushTime": 139,
+    "DOM_captures": 87,
+    "DOM_counters": 18,
+    "normalized_name": "2goose2furious"
+  },
+  "03e4a656-12fe-4548-bd84-2e0d2a8fbdc7": {
+    "id": "03e4a656-12fe-4548-bd84-2e0d2a8fbdc7",
+    "name": "8aron",
+    "team": "TANK",
+    "tier": "Dasher",
+    "seasons": 5,
+    "KD": 1.23,
+    "kills": 330,
+    "deaths": 268,
+    "headshots": 153,
+    "accuracy": 17.35,
+    "PAY_PushTime": 95,
+    "DOM_captures": 32,
+    "DOM_counters": 4,
+    "normalized_name": "8aron"
+  },
+  "4fd0e4e1-ed53-431f-b2cd-5fb39835f00b": {
+    "id": "4fd0e4e1-ed53-431f-b2cd-5fb39835f00b",
+    "name": "AdoptionPapers",
+    "team": "STHX",
+    "tier": "Sprinter",
+    "seasons": 5,
+    "KD": 1.45,
+    "kills": 291,
+    "deaths": 201,
+    "headshots": 159,
+    "accuracy": 13.63,
+    "PAY_PushTime": 55,
+    "DOM_captures": 43,
+    "DOM_counters": 11,
+    "normalized_name": "adoptionpapers"
+  },
+  "750d5a82-0d73-4285-8f82-615ec36d7684": {
+    "id": "750d5a82-0d73-4285-8f82-615ec36d7684",
+    "name": "airwolf",
+    "team": "F1R3",
+    "tier": "Sprinter",
+    "seasons": 7,
+    "KD": 0.33,
+    "kills": 4,
+    "deaths": 12,
+    "headshots": 1,
+    "accuracy": 13.37,
+    "PAY_PushTime": 0,
+    "DOM_captures": 11,
+    "DOM_counters": 0,
+    "normalized_name": "airwolf"
+  },
+  "0c28981b-8822-4016-855f-5ce9370c6417": {
+    "id": "0c28981b-8822-4016-855f-5ce9370c6417",
+    "name": "albertodd30",
+    "team": "MEX",
+    "tier": "Sprinter",
+    "seasons": 4,
+    "KD": 0.68,
+    "kills": 165,
+    "deaths": 242,
+    "headshots": 102,
+    "accuracy": 12.52,
+    "PAY_PushTime": 89,
+    "DOM_captures": 59,
+    "DOM_counters": 21,
+    "normalized_name": "albertodd30"
+  },
+  "c08cdf11-55f7-4df1-89f8-00e9fcfedaa9": {
+    "id": "c08cdf11-55f7-4df1-89f8-00e9fcfedaa9",
+    "name": "Aleisha",
+    "team": "SWUA",
+    "tier": "Sprinter",
+    "seasons": 1,
+    "KD": 1.25,
+    "kills": 876,
+    "deaths": 701,
+    "headshots": 353,
+    "accuracy": 17.52,
+    "PAY_PushTime": 343,
+    "DOM_captures": 137,
+    "DOM_counters": 33,
+    "normalized_name": "aleisha"
+  },
+  "11e6f4b2-db62-43cd-bba0-c22a9a0fda83": {
+    "id": "11e6f4b2-db62-43cd-bba0-c22a9a0fda83",
+    "name": "Aluno",
+    "team": "No Team",
+    "tier": "Unknown",
+    "seasons": 5,
+    "KD": 1.61,
+    "kills": 751,
+    "deaths": 467,
+    "headshots": 355,
+    "accuracy": 12.88,
+    "PAY_PushTime": 176,
+    "DOM_captures": 130,
+    "DOM_counters": 21,
+    "normalized_name": "aluno"
+  },
+  "49883faa-8f21-40ae-b586-11aff5f51df5": {
+    "id": "49883faa-8f21-40ae-b586-11aff5f51df5",
+    "name": "amospalla",
+    "team": "TBDi",
+    "tier": "Walker",
+    "seasons": 7,
+    "KD": 0.93,
+    "kills": 138,
+    "deaths": 148,
+    "headshots": 72,
+    "accuracy": 12.04,
+    "PAY_PushTime": 47,
+    "DOM_captures": 33,
+    "DOM_counters": 7,
+    "normalized_name": "amospalla"
+  },
+  "a0921865-fd70-4752-9697-baace39d5d61": {
+    "id": "a0921865-fd70-4752-9697-baace39d5d61",
+    "name": "anonomous",
+    "team": "No Team",
+    "tier": "Unknown",
+    "seasons": 6,
+    "KD": 1.07,
+    "kills": 133,
+    "deaths": 124,
+    "headshots": 74,
+    "accuracy": 11.14,
+    "PAY_PushTime": 13,
+    "DOM_captures": 13,
+    "DOM_counters": 4,
+    "normalized_name": "anonomous"
+  },
+  "2f46d72a-7996-4d86-a3cb-c9e1099180c7": {
+    "id": "2f46d72a-7996-4d86-a3cb-c9e1099180c7",
+    "name": "Apocalypse",
+    "team": "SWUA",
+    "tier": "Sprinter",
+    "seasons": 1,
+    "KD": 1.02,
+    "kills": 200,
+    "deaths": 197,
+    "headshots": 182,
+    "accuracy": 9.66,
+    "PAY_PushTime": 58,
+    "DOM_captures": 112,
+    "DOM_counters": 34,
+    "normalized_name": "apocalypse"
+  },
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+    "team": "F1R3",
+    "tier": "Sprinter",
+    "seasons": 2,
+    "KD": 0.95,
+    "kills": 528,
+    "deaths": 554,
+    "headshots": 271,
+    "accuracy": 15.1,
+    "PAY_PushTime": 255,
+    "DOM_captures": 123,
+    "DOM_counters": 36,
+    "normalized_name": "vleerbeer420"
+  },
+  "c001ab87-b06b-4320-a13a-8a4178c08100": {
+    "id": "c001ab87-b06b-4320-a13a-8a4178c08100",
+    "name": "wanderer",
+    "team": "SKY",
+    "tier": "Walker",
+    "seasons": 7,
+    "KD": 0.9,
+    "kills": 186,
+    "deaths": 207,
+    "headshots": 96,
+    "accuracy": 14.0,
+    "PAY_PushTime": 179,
+    "DOM_captures": 97,
+    "DOM_counters": 21,
+    "normalized_name": "wanderer"
+  },
+  "34467df2-7e3d-4f07-bafc-0464f24ac54f": {
+    "id": "34467df2-7e3d-4f07-bafc-0464f24ac54f",
+    "name": "warnurse",
+    "team": "EMU",
+    "tier": "Walker",
+    "seasons": 5,
+    "KD": 1.22,
+    "kills": 550,
+    "deaths": 452,
+    "headshots": 247,
+    "accuracy": 16.58,
+    "PAY_PushTime": 150,
+    "DOM_captures": 123,
+    "DOM_counters": 15,
+    "normalized_name": "warnurse"
+  },
+  "2c78f327-3389-41bd-b6d0-dbe85bd25b5c": {
+    "id": "2c78f327-3389-41bd-b6d0-dbe85bd25b5c",
+    "name": "Waterboy",
+    "team": "No Team",
+    "tier": "Unknown",
+    "seasons": 1,
+    "KD": 1.4,
+    "kills": 978,
+    "deaths": 701,
+    "headshots": 530,
+    "accuracy": 14.28,
+    "PAY_PushTime": 117,
+    "DOM_captures": 264,
+    "DOM_counters": 41,
+    "normalized_name": "waterboy"
+  },
+  "7d34d51d-9062-4ce0-aa3f-0cfc8c0a6c0a": {
+    "id": "7d34d51d-9062-4ce0-aa3f-0cfc8c0a6c0a",
+    "name": "Whopper",
+    "team": "No Team",
+    "tier": "Unknown",
+    "seasons": 4,
+    "KD": 0.94,
+    "kills": 599,
+    "deaths": 635,
+    "headshots": 389,
+    "accuracy": 11.41,
+    "PAY_PushTime": 572,
+    "DOM_captures": 127,
+    "DOM_counters": 29,
+    "normalized_name": "whopper"
+  },
+  "1999a953-a854-42c5-92cf-1210eb36362c": {
+    "id": "1999a953-a854-42c5-92cf-1210eb36362c",
+    "name": "Wick",
+    "team": "No Team",
+    "tier": "Unknown",
+    "seasons": 3,
+    "KD": 0.58,
+    "kills": 154,
+    "deaths": 264,
+    "headshots": 73,
+    "accuracy": 10.66,
+    "PAY_PushTime": 71,
+    "DOM_captures": 94,
+    "DOM_counters": 19,
+    "normalized_name": "wick"
+  },
+  "e2522fde-3b86-49ef-9714-17783218153f": {
+    "id": "e2522fde-3b86-49ef-9714-17783218153f",
+    "name": "XyLo",
+    "team": "No Team",
+    "tier": "Unknown",
+    "seasons": 2,
+    "KD": 1.3,
+    "kills": 318,
+    "deaths": 244,
+    "headshots": 135,
+    "accuracy": 14.36,
+    "PAY_PushTime": 26,
+    "DOM_captures": 27,
+    "DOM_counters": 1,
+    "normalized_name": "xylo"
+  },
+  "7ab686fc-59e8-4f5e-b078-6be000799231": {
+    "id": "7ab686fc-59e8-4f5e-b078-6be000799231",
+    "name": "Xyota",
+    "team": "DRGN",
+    "tier": "Dasher",
+    "seasons": 6,
+    "KD": 1.49,
+    "kills": 155,
+    "deaths": 104,
+    "headshots": 68,
+    "accuracy": 14.16,
+    "PAY_PushTime": 46,
+    "DOM_captures": 15,
+    "DOM_counters": 1,
+    "normalized_name": "xyota"
+  },
+  "1a48a339-0a71-4bed-b639-8d0a625ac526": {
+    "id": "1a48a339-0a71-4bed-b639-8d0a625ac526",
+    "name": "yourmom",
+    "team": "No Team",
+    "tier": "Unknown",
+    "seasons": 3,
+    "KD": 1.81,
+    "kills": 289,
+    "deaths": 160,
+    "headshots": 128,
+    "accuracy": 14.19,
+    "PAY_PushTime": 47,
+    "DOM_captures": 48,
+    "DOM_counters": 8,
+    "normalized_name": "yourmom"
+  },
+  "4efecee2-589d-4bdf-8ff8-0346d2f519be": {
+    "id": "4efecee2-589d-4bdf-8ff8-0346d2f519be",
+    "name": "ZELDA",
+    "team": "RAZA",
+    "tier": "Unknown",
+    "seasons": 2,
+    "KD": 0.62,
+    "kills": 208,
+    "deaths": 337,
+    "headshots": 93,
+    "accuracy": 12.49,
+    "PAY_PushTime": 185,
+    "DOM_captures": 73,
+    "DOM_counters": 29,
+    "normalized_name": "zelda"
+  },
+  "96cd35ba-126b-43df-b42f-a1ee9e2a93b2": {
+    "id": "96cd35ba-126b-43df-b42f-a1ee9e2a93b2",
+    "name": "Zenith",
+    "team": "LMB0",
+    "tier": "Dasher",
+    "seasons": 1,
+    "KD": 1.18,
+    "kills": 368,
+    "deaths": 313,
+    "headshots": 209,
+    "accuracy": 15.56,
+    "PAY_PushTime": 100,
+    "DOM_captures": 103,
+    "DOM_counters": 10,
+    "normalized_name": "zenith"
+  },
+  "27b6d51a-d9e2-449b-aa02-2d97541fd59f": {
+    "id": "27b6d51a-d9e2-449b-aa02-2d97541fd59f",
+    "name": "Zipf",
+    "team": "LMB0",
+    "tier": "Dasher",
+    "seasons": 3,
+    "KD": 1.32,
+    "kills": 50,
+    "deaths": 38,
+    "headshots": 34,
+    "accuracy": 17.82,
+    "PAY_PushTime": 28,
+    "DOM_captures": 0,
+    "DOM_counters": 0,
+    "normalized_name": "zipf"
+  },
+  "47710f79-d933-436d-86fa-4e0715666178": {
+    "id": "47710f79-d933-436d-86fa-4e0715666178",
+    "name": "Zooinyou",
+    "team": "No Team",
+    "tier": "Unknown",
+    "seasons": 4,
+    "KD": 1.03,
+    "kills": 812,
+    "deaths": 789,
+    "headshots": 444,
+    "accuracy": 15.17,
+    "PAY_PushTime": 458,
+    "DOM_captures": 160,
+    "DOM_counters": 28,
+    "normalized_name": "zooinyou"
+  }
+}
\ No newline at end of file
diff --git a/predictions/__pycache__/prediction_engine.cpython-313.pyc b/predictions/__pycache__/prediction_engine.cpython-313.pyc
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diff --git a/predictions/match_predictions.json b/predictions/match_predictions.json
new file mode 100644
index 0000000..1766e17
--- /dev/null
+++ b/predictions/match_predictions.json
@@ -0,0 +1,9 @@
+{
+    "Slayer": {
+        "Averages": {
+            "MEX": 1578.47,
+            "DMND": 1818.03
+        },
+        "Edge": 0.1318
+    }
+}
\ No newline at end of file
diff --git a/predictions/prediction_engine.py b/predictions/prediction_engine.py
new file mode 100644
index 0000000..694d210
--- /dev/null
+++ b/predictions/prediction_engine.py
@@ -0,0 +1,132 @@
+import math
+from tags.objective_domination import compute_dom_objective
+
+def logistic_win_chance(teamA_avg, teamB_avg, k=1.1):
+    """Generic logistic win chance for non-Slayer tags."""
+    if max(teamA_avg, teamB_avg) == 0:
+        return 50, 50
+
+    edge = (teamB_avg - teamA_avg) / max(teamA_avg, teamB_avg)
+    pB = 1 / (1 + math.exp(-k * edge))
+    pA = 1 - pB
+
+    return round(pA * 100), round(pB * 100)
+
+
+def compute_tag_averages(teamA_players, teamB_players):
+    """Compute all tag averages for both teams."""
+
+    def avg_slayer(players):
+        return sum(p.get("slayer_score_raw", 0.0) for p in players) / max(1, len(players))
+
+    def avg_objpl(players):
+        return sum(
+            p.get("objective_payload_components", {}).get("push_time_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))
+
+    def avg_objdom(players):
+        return sum(compute_dom_objective(p) for p in players) / max(1, len(players))
+
+    def avg_sharp(players):
+        return sum(
+            p.get("sharpshooter_components", {}).get("accuracy_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))
+
+    def avg_consistency(players):
+        return sum(
+            p.get("consistency_components", {}).get("consistency_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))
+
+    def avg_clutch(players):
+        return sum(
+            p.get("clutch_components", {}).get("clutch_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))
+
+    return {
+        "Slayer": (avg_slayer(teamA_players), avg_slayer(teamB_players)),
+        "ObjPL": (avg_objpl(teamA_players), avg_objpl(teamB_players)),
+        "ObjDOM": (avg_objdom(teamA_players), avg_objdom(teamB_players)),
+        "Sharpshooter": (avg_sharp(teamA_players), avg_sharp(teamB_players)),
+        "Consistency": (avg_consistency(teamA_players), avg_consistency(teamB_players)),
+        "Clutch": (avg_clutch(teamA_players), avg_clutch(teamB_players)),
+    }
+
+
+def generate_predictions(teamA_players, teamB_players):
+    """Full Option D prediction engine."""
+
+    team_a = teamA_players[0].get("team", "Team A")
+    team_b = teamB_players[0].get("team", "Team B")
+
+    # --- Compute averages ---
+    avgs = compute_tag_averages(teamA_players, teamB_players)
+
+    # --- Per-tag win chances ---
+    per_tag = {}
+
+    for tag, (a_avg, b_avg) in avgs.items():
+        if tag == "Slayer":
+            # Slayer uses its own prediction function
+            # Convert to simple logistic for consistency
+            per_tag[tag] = logistic_win_chance(a_avg, b_avg)
+        else:
+            per_tag[tag] = logistic_win_chance(a_avg, b_avg)
+
+    # --- Weighted overall prediction ---
+    weights = {
+        "Slayer": 0.30,
+        "ObjPL": 0.25,
+        "ObjDOM": 0.25,
+        "Sharpshooter": 0.10,
+        "Consistency": 0.05,
+        "Clutch": 0.05,
+    }
+
+    overall_A = sum(per_tag[tag][0] * w for tag, w in weights.items())
+    overall_B = sum(per_tag[tag][1] * w for tag, w in weights.items())
+
+    # Normalize to 100%
+    total = overall_A + overall_B
+    if total > 0:
+        overall_A = round((overall_A / total) * 100)
+        overall_B = 100 - overall_A
+    else:
+        overall_A = overall_B = 50
+
+    # --- Narrative summary ---
+    narrative = []
+
+    def add_line(tag, a, b):
+        if a > b:
+            narrative.append(f"{team_a} hold the edge in {tag}.")
+        elif b > a:
+            narrative.append(f"{team_b} hold the edge in {tag}.")
+
+    for tag, (a_avg, b_avg) in avgs.items():
+        add_line(tag, a_avg, b_avg)
+
+    if overall_A > overall_B:
+        narrative.append(f"Overall, {team_a} enter this matchup with a slight advantage.")
+    elif overall_B > overall_A:
+        narrative.append(f"Overall, {team_b} enter this matchup with a slight advantage.")
+    else:
+        narrative.append("Overall, this matchup looks extremely close.")
+
+    # --- Build final text output ---
+    lines = []
+    lines.append(f"MATCH PREDICTIONS — {team_a} vs {team_b}\n")
+
+    for tag, (pA, pB) in per_tag.items():
+        lines.append(f"{tag} Win Chance: {team_a} {pA}% — {team_b} {pB}%")
+
+    lines.append("\nOVERALL WIN CHANCE:")
+    lines.append(f"{team_a} {overall_A}% — {team_b} {overall_B}%")
+
+    lines.append("\nNARRATIVE SUMMARY:")
+    lines.append(" ".join(narrative))
+
+    return "\n".join(lines)
\ No newline at end of file
diff --git a/rankings.py b/rankings.py
new file mode 100644
index 0000000..611809c
--- /dev/null
+++ b/rankings.py
@@ -0,0 +1,108 @@
+import os
+import json
+
+from tags.objective_payload import compute_payload_objective_team_scores
+
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+CAREER_DB_PATH = os.path.join(BASE_DIR, "career_stats.json")
+
+
+def load_career_db():
+    if not os.path.exists(CAREER_DB_PATH):
+        return None
+    with open(CAREER_DB_PATH, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+
+def top_players_by_tag(tag_name):
+    db = load_career_db()
+    if db is None:
+        return []
+
+    players = db["players"]
+    league = db["league_averages"]
+
+    results = []
+
+    if tag_name == "Slayer":
+        for pid, p in players.items():
+            score = p.get("slayer_score_raw", 0.0)
+            if score <= 0:
+                continue
+            results.append({
+                "id": pid,
+                "name": p["name"],
+                "team": p["team_history"][-1] if p["team_history"] else "Unknown",
+                "score_raw": score,
+                "score_display": p.get("slayer_score_display", f"{score:.2f}"),
+            })
+        results = [r for r in results if r["score_raw"] > 0]
+        results.sort(key=lambda x: x["score_raw"], reverse=True)
+        return results
+
+    if tag_name == "Payload Objective Specialist":
+        # For rankings, we approximate team context by using league‑wide push components
+        # and treat all players as if they were on one "virtual team".
+        team_entries = [(pid, p) for pid, p in players.items()]
+        obj_scores = compute_payload_objective_team_scores(team_entries)
+
+        for pid, p in players.items():
+            score = obj_scores.get(pid, 0.0)
+            if score <= 0:
+                continue
+            results.append({
+                "id": pid,
+                "name": p["name"],
+                "team": p["team_history"][-1] if p["team_history"] else "Unknown",
+                "score_raw": score,
+                "score_display": f"{score:.2f}",
+            })
+
+        results = [r for r in results if r["score_raw"] > 0]
+        results.sort(key=lambda x: x["score_raw"], reverse=True)
+        return results
+
+    return []
+    
+def rank_match_players_consistency(players):
+    ranked = []
+
+    for p in players:
+        components = p.get("consistency_components", {})
+
+        # Prefer normalized score if present, else raw consistency, else 0.0
+        score = components.get("consistency_norm")
+        if score is None:
+            score = components.get("consistency", 0.0)
+
+        ranked.append({
+            "name": p.get("name", "Unknown"),
+            "team": p.get("team", ""),
+            "score_raw": score,
+            "score_display": f"{score:.2f}",
+        })
+
+    ranked.sort(key=lambda x: x["score_raw"], reverse=True)
+
+    for i, r in enumerate(ranked, start=1):
+        r["rank"] = i
+
+    return ranked
+    
+def rank_match_players_clutch(players):
+    ranked = []
+    for p in players:
+        score = p.get("clutch_components", {}).get("clutch_norm", 0.0)
+        ranked.append({
+            "name": p.get("name", "Unknown"),
+            "team": p.get("team", ""),
+            "score_raw": score,
+            "score_display": f"{score:.2f}"
+        })
+
+    ranked.sort(key=lambda x: x["score_raw"], reverse=True)
+
+    for i, r in enumerate(ranked, start=1):
+        r["rank"] = i
+
+    return ranked
\ No newline at end of file
diff --git a/storylines.py b/storylines.py
new file mode 100644
index 0000000..f03833e
--- /dev/null
+++ b/storylines.py
@@ -0,0 +1,136 @@
+from rankings import load_career_db
+from tags.objective_domination import compute_dom_objective
+
+
+def matchup_storyline(teamA_players, teamB_players):
+    """
+    Composition-aware storyline generator.
+    Accepts two lists of player entries (5 per team).
+    """
+
+    if not teamA_players or not teamB_players:
+        return "Not enough selected players to generate a storyline."
+
+    # --- Helper averages ---
+    def avg_slayer(players):
+        return sum(p.get("slayer_score_raw", 0.0) for p in players) / max(1, len(players))
+
+    def avg_obj_payload(players):
+        return sum(
+            p.get("objective_payload_components", {}).get("push_time_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))
+
+    def avg_sharp(players):
+        return sum(
+            p.get("sharpshooter_components", {}).get("accuracy_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))
+
+    def avg_obj_dom(players):
+        return sum(compute_dom_objective(p) for p in players) / max(1, len(players))
+        
+    def avg_consistency(players):
+        return sum(
+            p.get("consistency_components", {}).get("consistency_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))
+        
+    def avg_clutch(players):
+        return sum(
+            p.get("clutch_components", {}).get("clutch_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))    
+
+        
+
+    # --- Compute team averages ---
+    a_slayer = avg_slayer(teamA_players)
+    b_slayer = avg_slayer(teamB_players)
+
+    a_obj = avg_obj_payload(teamA_players)
+    b_obj = avg_obj_payload(teamB_players)
+
+    a_sharp = avg_sharp(teamA_players)
+    b_sharp = avg_sharp(teamB_players)
+
+    a_dom = avg_obj_dom(teamA_players)
+    b_dom = avg_obj_dom(teamB_players)
+
+    a_consistency = avg_consistency(teamA_players)
+    b_consistency = avg_consistency(teamB_players)
+    
+    a_clutch = avg_clutch(teamA_players)
+    b_clutch = avg_clutch(teamB_players)
+
+    # --- Team names ---
+    team_a = teamA_players[0].get("team", "Team A")
+    team_b = teamB_players[0].get("team", "Team B")
+
+    # --- Build storyline ---
+    lines = []
+    lines.append(f"MATCH STORYLINE — {team_a} vs {team_b}\n")
+
+    # Slayer storyline
+    if a_slayer > b_slayer:
+        lines.append(f"{team_a} bring stronger slaying on paper.")
+    elif b_slayer > a_slayer:
+        lines.append(f"{team_b} bring stronger slaying on paper.")
+    else:
+        lines.append("Slaying power looks evenly matched.")
+
+    # Payload storyline
+    if a_obj > b_obj:
+        lines.append(f"{team_a} have the edge in Payload objective presence.")
+    elif b_obj > a_obj:
+        lines.append(f"{team_b} have the edge in Payload objective presence.")
+    else:
+        lines.append("Payload objective presence looks evenly matched.")
+
+    # Domination storyline
+    if a_dom > b_dom:
+        lines.append(f"{team_a} show stronger Domination objective capability.")
+    elif b_dom > a_dom:
+        lines.append(f"{team_b} show stronger Domination objective capability.")
+    else:
+        lines.append("Domination objective capability looks evenly matched.")
+        
+        
+    # Consistency storyline    
+    if a_consistency > b_consistency:
+        lines.append(f"{team_a} bring steadier map-to-map performance.")
+    elif b_consistency > a_consistency:
+        lines.append(f"{team_b} bring steadier map-to-map performance.")
+    else:
+        lines.append("Both teams show similar consistency across maps.")    
+        
+    # Clutch Storyline    
+    if a_clutch > b_clutch:
+        lines.append(f"{team_a} show stronger clutch performance in high-pressure moments.")
+    elif b_clutch > a_clutch:
+        lines.append(f"{team_b} show stronger clutch performance in high-pressure moments.")
+    else:
+        lines.append("Both teams show similar clutch performance.")     
+        
+
+    # Sharpshooter storyline
+    sharp_delta = a_sharp - b_sharp
+    sharp_pct = sharp_delta * 100
+
+    if sharp_delta > 0.02:
+        lines.append(
+            f"{team_a} bring a Sharpshooter Advantage of {sharp_pct:.1f}%, "
+            f"landing more shots and converting more headshots than {team_b}."
+        )
+    elif sharp_delta < -0.02:
+        lines.append(
+            f"{team_b} hold a Sharpshooter Edge of {abs(sharp_pct):.1f}%, "
+            f"which could punish {team_a} in long‑range duels."
+        )
+    else:
+        lines.append(
+            "Both teams are evenly matched in Sharpshooting, so aim consistency "
+            "won’t be a deciding factor unless someone pops off."
+        )
+
+    return "\n".join(lines)
\ No newline at end of file
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diff --git a/tags/clutch.py b/tags/clutch.py
new file mode 100644
index 0000000..b565c0c
--- /dev/null
+++ b/tags/clutch.py
@@ -0,0 +1,65 @@
+import math
+
+def compute_clutch(player_entry, league_averages=None):
+    """
+    Computes a normalized clutch score (0–1) based on:
+    - Pressure Efficiency (40%)
+    - Collapse Avoidance (40%)
+    - Conversion Rate (20%)
+    """
+
+    career = player_entry.get("career", {})
+    maps = career.get("maps", 0)
+
+    if maps <= 0:
+        return 0.0
+
+    # -----------------------------
+    # PRESSURE EFFICIENCY (40%)
+    # -----------------------------
+    damage = career.get("damage", 0)
+    deaths = career.get("deaths", 0)
+
+    pressure_eff = damage / (deaths + 1)
+
+    # Normalize pressure using log scale
+    # If league averages exist, use them; otherwise fallback to self-normalization
+    if league_averages and "pressure_eff" in league_averages:
+        denom = math.log(1 + league_averages["pressure_eff"])
+    else:
+        denom = math.log(1 + pressure_eff) if pressure_eff > 0 else 1
+
+    pressure_norm = math.log(1 + pressure_eff) / max(1e-6, denom)
+
+    # -----------------------------
+    # COLLAPSE AVOIDANCE (40%)
+    # -----------------------------
+    # Reuse consistency floor logic if available
+    consistency = player_entry.get("consistency_components", {})
+    floor_score = consistency.get("consistency_norm", 0.0)
+
+    collapse_avoid = floor_score  # already normalized 0–1
+
+    # -----------------------------
+    # CONVERSION RATE (20%)
+    # -----------------------------
+    shots = career.get("shots", 0)
+    shots_hit = career.get("shots_hit", 0)
+    headshots = career.get("headshots", 0)
+
+    accuracy = shots_hit / max(1, shots)
+    headshot_rate = headshots / max(1, shots_hit)
+
+    # Normalize accuracy + headshot rate
+    conversion = (accuracy * 0.50) + (headshot_rate * 0.50)
+
+    # -----------------------------
+    # FINAL CLUTCH SCORE
+    # -----------------------------
+    clutch_raw = (
+        (pressure_norm * 0.40) +
+        (collapse_avoid * 0.40) +
+        (conversion * 0.20)
+    )
+
+    return max(0.0, min(1.0, clutch_raw))
\ No newline at end of file
diff --git a/tags/consistency.py b/tags/consistency.py
new file mode 100644
index 0000000..e6a9f66
--- /dev/null
+++ b/tags/consistency.py
@@ -0,0 +1,90 @@
+import math
+
+def compute_consistency(matches):
+    """
+    matches = list of dicts, each containing:
+        - kills
+        - deaths
+        - accuracy
+        - damage
+        - push_time (payload)
+        - captures
+        - counters
+        - mode
+    """
+
+    # --- Not enough matches to compute variance ---
+    if len(matches) < 2:
+        return 0.0, {
+            "per_match_perf": [],
+            "floor": 0.0,
+            "variance": 0.0,
+            "variance_adj": 0.0,
+            "variance_score": 0.0,
+            "avg_perf": 0.0,
+            "consistency_norm": 0.0
+        }
+
+    per_match_perf_list = []
+
+    for m in matches:
+
+        # --- Slayer percentile (per match) ---
+        kd = m["kills"] / max(1, m["deaths"])
+        slayer_pct = percentile_of_kd(kd)
+
+        # --- Objective percentile (per match) ---
+        if m["mode"] == "payload":
+            obj_raw = m["push_time"]
+        elif m["mode"] == "domination":
+            obj_raw = m["captures"] + m["counters"]
+        else:
+            obj_raw = 0
+
+        objective_pct = percentile_of_objective(obj_raw)
+
+        # --- Accuracy percentile (per match) ---
+        accuracy_pct = percentile_of_accuracy(m["accuracy"])
+
+        # --- Composite per-match performance ---
+        perf = (
+            slayer_pct * 0.40 +
+            objective_pct * 0.40 +
+            accuracy_pct * 0.20
+        )
+
+        per_match_perf_list.append(perf)
+
+    # --- Floor ---
+    floor_score = percentile(min(per_match_perf_list))
+
+    # --- Variance (normalized by match count) ---
+    raw_variance = variance(per_match_perf_list)
+    adj_variance = raw_variance * (1 + (1 / len(matches)))
+    variance_score = 1 / (1 + adj_variance)
+
+    # --- Average performance ---
+    avg_perf = sum(per_match_perf_list) / len(per_match_perf_list)
+
+    # --- Final Consistency ---
+    consistency_raw = (
+        floor_score * 0.40 +
+        variance_score * 0.40 +
+        avg_perf * 0.20
+    )
+
+    # --- Normalized consistency (already 0–1) ---
+    consistency_norm = round(consistency_raw, 4)
+
+    # --- Component block returned to DB builder ---
+    components = {
+        "per_match_perf": per_match_perf_list,
+        "floor": floor_score,
+        "variance": raw_variance,
+        "variance_adj": adj_variance,
+        "variance_score": variance_score,
+        "avg_perf": avg_perf,
+        "consistency_norm": consistency_norm
+    }
+
+    return consistency_norm, components
\ No newline at end of file
diff --git a/tags/objective_domination.py b/tags/objective_domination.py
new file mode 100644
index 0000000..fba438b
--- /dev/null
+++ b/tags/objective_domination.py
@@ -0,0 +1,29 @@
+import math
+
+def compute_dom_objective(player_entry):
+    """
+    Domination Objective Specialist (ObjDOM)
+
+    Uses only website stats:
+      - DOM_captures
+      - DOM_counters
+
+    Log-scaled normalization:
+        CapRate      = log(1 + captures) / log(1 + 20)
+        CounterRate  = log(1 + counters) / log(1 + 20)
+
+    Formula (0–1 scale):
+        ObjDOM = 0.40 * CapRate + 0.60 * CounterRate
+
+    Counters are weighted more heavily because they prevent enemy scoring.
+    """
+
+    caps = player_entry.get("DOM_captures", 0) or 0
+    counters = player_entry.get("DOM_counters", 0) or 0
+
+    # Log-scaled normalization (smooths extremes, expands mid-range)
+    cap_rate = math.log1p(caps) / math.log1p(20)
+    counter_rate = math.log1p(counters) / math.log1p(20)
+
+    score = (0.40 * cap_rate) + (0.60 * counter_rate)
+    return round(score, 3)
\ No newline at end of file
diff --git a/tags/objective_payload.py b/tags/objective_payload.py
new file mode 100644
index 0000000..a8a7cd8
--- /dev/null
+++ b/tags/objective_payload.py
@@ -0,0 +1,79 @@
+import math
+
+
+def compute_payload_objective_for_career_player(p, league_averages):
+    career = p["career"]
+    derived = p["derived"]
+
+    push_time_total = career.get("push_time", 0) or 0
+    damage = career.get("damage", 0) or 0
+    deaths = career.get("deaths", 0) or 0
+    push_time_per_season = derived.get("push_time_per_season", 0) or 0
+
+    # Push Survivability Index (PSI)
+    # PSI = Damage / (Deaths + 1) * 1 / sqrt(PushTime + 1)
+    psi = 0.0
+    if push_time_total > 0:
+        psi = (damage / (deaths + 1)) * (1.0 / math.sqrt(push_time_total + 1))
+
+    league_push_time_per_season = league_averages.get("push_time_per_season", 1.0)
+    push_time_norm = push_time_per_season / league_push_time_per_season if league_push_time_per_season > 0 else 0.0
+
+    return {
+        "push_time_total": push_time_total,
+        "push_time_per_season": push_time_per_season,
+        "push_time_norm": push_time_norm,
+        "psi": psi,
+    }
+
+
+def compute_payload_objective_team_scores(team_player_entries):
+    """
+    team_player_entries: list of (player_id, player_entry_from_career_db)
+
+    Returns dict {pid: obj_pl_score}
+    """
+    # PresencePL: share of team push time
+    total_push_time = sum(p["objective_payload_components"]["push_time_total"]
+                          for _, p in team_player_entries)
+    if total_push_time <= 0:
+        total_push_time = 1.0
+
+    scores = {}
+    for pid, pdata in team_player_entries:
+        comp = pdata["objective_payload_components"]
+        presence_pl = comp["push_time_total"] / total_push_time
+
+        push_time_norm = comp["push_time_norm"]
+        psi = comp["psi"]
+
+        # Normalize PSI within team to avoid extreme outliers dominating
+        # We'll compute team PSI mean and std first
+        scores[pid] = {
+            "presence_pl": presence_pl,
+            "push_time_norm": push_time_norm,
+            "psi": psi,
+        }
+
+    # PSI normalization within team
+    psi_values = [v["psi"] for v in scores.values()]
+    if psi_values:
+        mean_psi = sum(psi_values) / len(psi_values)
+        var_psi = sum((x - mean_psi) ** 2 for x in psi_values) / max(1, len(psi_values))
+        std_psi = math.sqrt(var_psi)
+    else:
+        mean_psi = 0.0
+        std_psi = 1.0
+
+    for pid, v in scores.items():
+        if std_psi > 0:
+            psi_norm = (v["psi"] - mean_psi) / std_psi
+        else:
+            psi_norm = 0.0
+
+        # Final ObjPL score (website‑only version)
+        # 0.40 Presence + 0.40 PushTimeNorm + 0.20 PSI_norm
+        obj_pl = (0.40 * v["presence_pl"]) + (0.40 * v["push_time_norm"]) + (0.20 * psi_norm)
+        v["obj_pl"] = obj_pl
+
+    return {pid: v["obj_pl"] for pid, v in scores.items()}
\ No newline at end of file
diff --git a/tags/sharpshooter.py b/tags/sharpshooter.py
new file mode 100644
index 0000000..1d23e0a
--- /dev/null
+++ b/tags/sharpshooter.py
@@ -0,0 +1,30 @@
+# tags/sharpshooter.py
+
+def compute_sharpshooter_for_career_player(stats):
+    shots_fired = stats.get("shots", 0)
+    damage = stats.get("damage_dealt", stats.get("damage", 0))
+    shots_hit = stats.get("shots_hit", 0)
+    headshots = stats.get("headshots", 0)
+
+    if shots_fired <= 0:
+        return {
+            "accuracy": 0.0,
+            "hs_rate": 0.0,
+            "dps": 0.0,
+            "score_raw": 0.0,
+            "score_display": "0.00",
+        }
+
+    accuracy = shots_hit / shots_fired
+    hs_rate = headshots / shots_hit if shots_hit > 0 else 0.0
+    dps = damage / shots_fired
+
+    score = (0.40 * accuracy) + (0.40 * hs_rate) + (0.20 * dps)
+
+    return {
+        "accuracy": accuracy,
+        "hs_rate": hs_rate,
+        "dps": dps,
+        "score_raw": score,
+        "score_display": f"{score:.2f}",
+    }
\ No newline at end of file
diff --git a/tags/slayer.py b/tags/slayer.py
new file mode 100644
index 0000000..3a1c377
--- /dev/null
+++ b/tags/slayer.py
@@ -0,0 +1,36 @@
+def compute_slayer_for_career_player(p, league_averages):
+    career = p["career"]
+    maps = career.get("maps", 0) or 0
+    kills = career.get("kills", 0) or 0
+    deaths = career.get("deaths", 0) or 0
+    damage = career.get("damage", 0) or 0
+
+    kd = kills / deaths if deaths > 0 else kills
+    dmg_per_map = damage / maps if maps > 0 else 0
+    kpm = kills / maps if maps > 0 else 0
+
+    league_dpm = league_averages.get("damage_per_map", 1.0)
+    league_kpm = league_averages.get("kills_per_map", 1.0)
+    league_kd = league_averages.get("KD", 1.0)
+
+    score = (dmg_per_map * 0.4) + (kpm * 0.4) + (kd * 0.2)
+    league_score = (league_dpm * 0.4) + (league_kpm * 0.4) + (league_kd * 0.2) or 1.0
+
+    ratio = score / league_score
+
+    if ratio >= 1.50:
+        strength = "Elite Slayer"
+    elif ratio >= 1.25:
+        strength = "Strong Slayer"
+    elif ratio >= 1.00:
+        strength = "Slayer"
+    elif ratio >= 0.75:
+        strength = "Below Average"
+    else:
+        strength = "Not a Slayer"
+
+    return {
+        "score_raw": score,
+        "score_display": f"{score:.2f}",
+        "strength": strength,
+    }
\ No newline at end of file
diff --git a/team_identity.py b/team_identity.py
new file mode 100644
index 0000000..bdbbc09
--- /dev/null
+++ b/team_identity.py
@@ -0,0 +1,106 @@
+from rankings import load_career_db
+from tags.objective_domination import compute_dom_objective
+
+
+def generate_team_identity(player_list):
+    """
+    Returns a dictionary of team identity scores based on the average
+    identity-tag components of the SELECTED PLAYERS ONLY.
+    """
+
+    if not player_list:
+        return None
+
+    # --- Helper functions for each identity tag ---
+    def avg_slayer(players):
+        return sum(p.get("slayer_score_raw", 0.0) for p in players) / max(1, len(players))
+
+    def avg_payload(players):
+        return sum(
+            p.get("objective_payload_components", {}).get("push_time_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))
+
+    def avg_consistency(players):
+        return sum(
+            p.get("consistency_components", {}).get("consistency_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))
+
+    def avg_clutch(players):
+        return sum(
+            p.get("clutch_components", {}).get("clutch_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))
+
+    def avg_sharp(players):
+        return sum(
+            p.get("sharpshooter_components", {}).get("accuracy_norm", 0.0)
+            for p in players
+        ) / max(1, len(players))
+
+    def avg_objdom(players):
+        return sum(compute_dom_objective(p) for p in players) / max(1, len(players))
+
+    # --- Compute identity scores ---
+    identity = {
+        "slayer_score": avg_slayer(player_list),
+        "payload_score": avg_payload(player_list),
+        "consistency_score": avg_consistency(player_list),
+        "clutch_score": avg_clutch(player_list),
+        "sharpshooter_score": avg_sharp(player_list),
+        "objdom_score": avg_objdom(player_list),
+    }
+
+    return identity
+
+
+def compare_team_identity(teamA_players, teamB_players):
+    a = generate_team_identity(teamA_players)
+    b = generate_team_identity(teamB_players)
+
+    if a is None or b is None:
+        return "Not enough data to generate team identity comparison."
+
+    team_a_name = teamA_players[0].get("team", "Team A")
+    team_b_name = teamB_players[0].get("team", "Team B")
+
+    summary = []
+
+    # --- Slayer ---
+    if a["slayer_score"] > b["slayer_score"]:
+        summary.append(f"{team_a_name} lean slayer-heavy.")
+    elif b["slayer_score"] > a["slayer_score"]:
+        summary.append(f"{team_b_name} lean slayer-heavy.")
+
+    # --- Payload Objective ---
+    if a["payload_score"] > b["payload_score"]:
+        summary.append(f"{team_a_name} show stronger Payload objective focus.")
+    elif b["payload_score"] > a["payload_score"]:
+        summary.append(f"{team_b_name} show stronger Payload objective focus.")
+
+    # --- Domination Objective ---
+    if a["objdom_score"] > b["objdom_score"]:
+        summary.append(f"{team_a_name} show stronger Domination objective presence.")
+    elif b["objdom_score"] > a["objdom_score"]:
+        summary.append(f"{team_b_name} show stronger Domination objective presence.")
+
+    # --- Consistency ---
+    if a["consistency_score"] > b["consistency_score"]:
+        summary.append(f"{team_a_name} are the steadier team.")
+    elif b["consistency_score"] > a["consistency_score"]:
+        summary.append(f"{team_b_name} are the steadier team.")
+
+    # --- Clutch ---
+    if a["clutch_score"] > b["clutch_score"]:
+        summary.append(f"{team_a_name} excel in clutch situations.")
+    elif b["clutch_score"] > a["clutch_score"]:
+        summary.append(f"{team_b_name} excel in clutch situations.")
+
+    # --- Sharpshooter ---
+    if a["sharpshooter_score"] > b["sharpshooter_score"]:
+        summary.append(f"{team_a_name} bring stronger aim and headshot conversion.")
+    elif b["sharpshooter_score"] > a["sharpshooter_score"]:
+        summary.append(f"{team_b_name} bring stronger aim and headshot conversion.")
+
+    return " ".join(summary)
\ No newline at end of file