fahricansecer 244d8f5366 feat(ai): expand training to 68K+ matches, add score model, backfill implied odds ...

- extract_training_data.py: switch from top_leagues.json (23) to qualified_leagues.json (265)
- update_implied_odds.py: new script to backfill implied odds from real market data
- train_score_model.py: rewrite with v25 102-feature set + temporal split
- single_match_orchestrator.py: integrate ML score model with heuristic fallback

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analyze_single.py

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compute_elo.py

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compute_league_reliability.py

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conditional_frequency_engine.py

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elo_backfill.py

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extract_advanced_basketball_data.py

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extract_basketball_data.py

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extract_basketball_v25_data.py

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extract_training_data_v26.py

gg

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extract_training_data_v27.py

gg

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extract_training_data.py

feat(ai): expand training to 68K+ matches, add score model, backfill implied odds

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fetch_xgb_models.sh

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list_matches_13_sept.py

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live_tracker.py

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predict_single_match.py

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strategy_generator.py

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train_advanced_basketball.py

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train_basketball_markets.py

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train_basketball_v25.py

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train_calibration.py

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train_cards_model.py

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train_htft_vqwen.py

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train_htft_with_tendencies.py

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train_score_model.py

feat(ai): expand training to 68K+ matches, add score model, backfill implied odds

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train_v25_clean.py

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train_v26_shadow.py

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train_v27_value_sniper.py

gg

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train_vqwen_deep.py

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train_vqwen_stress.py

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train_vqwen_v3.py

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train_vqwen.py

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train_xgboost_markets.py

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train_xgboost_pro.py

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update_implied_odds.py

feat(ai): expand training to 68K+ matches, add score model, backfill implied odds

2026-05-05 16:04:00 +03:00