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"""
Team Stats Engine
Takımların oyun tarzı istatistiklerini analiz eder.
football_team_stats tablosundaki kayıtlardan possession, şut, korner verilerini kullanır.
"""
import os
import sys
import psycopg2
from typing import Dict
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from data.db import get_clean_dsn
class TeamStatsEngine:
"""
Takım istatistikleri için feature engine.
Analiz edilen metrikler:
- Ortalama top hakimiyeti (possession)
- Ortalama isabetli şut
- Ortalama korner
- Şut/Gol dönüşüm oranı (xG benzeri)
- Savunma gücü
"""
def __init__(self):
self.conn = None
def get_conn(self):
if self.conn is None or self.conn.closed:
self.conn = psycopg2.connect(get_clean_dsn())
return self.conn
def get_features(self, team_id: str, before_date: int,
limit: int = 10, max_days: int = 180) -> Dict[str, float]:
"""
Takımın oyun tarzı feature'larını hesapla.
Args:
team_id: Takım ID
before_date: Bu tarihten önceki maçlara bak (ms timestamp)
limit: Kaç maç analiz edilecek
max_days: Maksimum kaç gün geriye gidilecek
Returns:
Dict: Team stats feature'ları
"""
if not team_id or len(team_id) < 5:
return self._default_features()
try:
conn = self.get_conn()
cur = conn.cursor()
min_date = before_date - (max_days * 24 * 60 * 60 * 1000)
# Bu takımın son N maçındaki istatistikleri çek
cur.execute("""
SELECT
mts.possession_percentage,
mts.shots_on_target,
mts.shots_off_target,
mts.total_shots,
mts.corners,
mts.fouls,
m.score_home,
m.score_away,
m.home_team_id
FROM football_team_stats mts
JOIN matches m ON mts.match_id = m.id
WHERE mts.team_id = %s
AND m.mst_utc < %s
AND m.mst_utc > %s
AND m.score_home IS NOT NULL
AND m.sport = 'football'
ORDER BY m.mst_utc DESC
LIMIT %s
""", (team_id, before_date, min_date, limit))
stats = cur.fetchall()
if not stats:
return self._default_features()
# İstatistikleri hesapla
total_matches = len(stats)
possession_sum = 0
shots_on_target_sum = 0
shots_total_sum = 0
corners_sum = 0
fouls_sum = 0
goals_scored = 0
valid_possession_count = 0
for stat in stats:
poss, sot, soff, total_shots, corners, fouls, sh, sa, home_id = stat
if poss and poss > 0:
possession_sum += poss
valid_possession_count += 1
if sot:
shots_on_target_sum += sot
if total_shots:
shots_total_sum += total_shots
if corners:
corners_sum += corners
if fouls:
fouls_sum += fouls
# Gol hesaplama
is_home = (home_id == team_id)
goals_scored += sh if is_home else sa
avg_possession = possession_sum / valid_possession_count if valid_possession_count > 0 else 50.0
avg_shots_on_target = shots_on_target_sum / total_matches if total_matches > 0 else 3.0
avg_shots_total = shots_total_sum / total_matches if total_matches > 0 else 10.0
avg_corners = corners_sum / total_matches if total_matches > 0 else 4.0
avg_fouls = fouls_sum / total_matches if total_matches > 0 else 12.0
# Shot conversion rate (xG benzeri)
shot_conversion = goals_scored / shots_total_sum if shots_total_sum > 0 else 0.1
# Shot accuracy
shot_accuracy = shots_on_target_sum / shots_total_sum if shots_total_sum > 0 else 0.35
return {
'avg_possession': avg_possession / 100, # Normalize to 0-1
'avg_shots_on_target': avg_shots_on_target,
'avg_shots_total': avg_shots_total,
'avg_corners': avg_corners,
'avg_fouls': avg_fouls,
'shot_conversion_rate': shot_conversion,
'shot_accuracy': shot_accuracy,
'attacking_intensity': (avg_shots_total + avg_corners) / 2
}
except Exception as e:
print(f"[TeamStatsEngine] Error: {e}")
return self._default_features()
def _default_features(self) -> Dict[str, float]:
return {
'avg_possession': 0.50,
'avg_shots_on_target': 3.5,
'avg_shots_total': 11.0,
'avg_corners': 4.5,
'avg_fouls': 12.0,
'shot_conversion_rate': 0.10,
'shot_accuracy': 0.35,
'attacking_intensity': 7.5
}
# Singleton
_engine = None
def get_team_stats_engine() -> TeamStatsEngine:
global _engine
if _engine is None:
_engine = TeamStatsEngine()
return _engine
if __name__ == "__main__":
engine = get_team_stats_engine()
print("\n🧪 Team Stats Engine Test")
print("=" * 50)
# Test için örnek takım ID'si al
conn = engine.get_conn()
cur = conn.cursor()
cur.execute("""
SELECT DISTINCT mts.team_id, t.name
FROM match_team_stats mts
JOIN teams t ON mts.team_id = t.id
LIMIT 1
""")
result = cur.fetchone()
if result:
team_id, team_name = result
print(f"Test Takımı: {team_name}")
import time
features = engine.get_features(team_id, int(time.time() * 1000))
print(f"\n📊 Feature'lar:")
for k, v in features.items():
print(f" {k}: {v:.3f}")