基于多维机器学习与大数据的专业足球预测模型工具

# 足球预测模型工具 - 实时特征向量生成器
def build_match_features(home_team, away_team, timestamp):
    xg_trend = calculate_rolling_xg(home_team, window=5)
    ppda_index = get_pressing_intensity(away_team, region="attacking_third")
    elo_delta = elo_engine.get_dynamic_gap(home_team, away_team)
    
    # 伤停折算与环境修正
    lineup_impact = injury_matrix.evaluate_missing_players(home_team)
    weather_coef = climate_sensor.get_friction_factor(timestamp)

    feature_vector = np.array([
        xg_trend, ppda_index, elo_delta, 
        lineup_impact, weather_coef
    ])
    
    # 执行泊松与深度集成推演
    probabilities = ensemble_model.predict_proba(feature_vector)
    return {
        "home_win": probabilities[0],
        "draw": probabilities[1],
        "away_win": probabilities[2],
        "confidence_score": get_confidence_score(feature_vector)
    }