3b065775f5
Phase 1: Data Engineering
- Refactored notebooks into src/{scraper,features,models,optimization,bot}
- FBref scraper with proxy rotation + Playwright Cloudflare bypass
- Fantacalcio.it integrated scraper (authenticated API + HTML fallback)
- api-football RapidAPI client for supplementary xG/xA/injuries
- RAG news pipeline: Gazzetta, Sky Sport, Di Marzio → injury/suspension/tactical extraction
- 26/27 season config: teams, scoring rules, name mappings, news sources
Phase 2: SOTA ML Architecture
- GBM Ensemble (LightGBM + CatBoost + XGBoost) with stacked blending
- Bootstrap ensemble for uncertainty quantification
- SinhArcsinh distribution head (ported from original TF Probability)
- Card classifiers (yellow/red), penalty model, goal probability (Poisson)
- Temporal GNN for player interaction modeling (crosses→goals, passes→assists)
- Optuna hyperparameter tuning with time-series CV
Phase 3: Operations Research
- Auction solver: MILP knapsack with PuLP (budget + role constraints)
- Grid Auction (Asta a Griglia): Minimax game theory bidding strategy
- Weekly lineup optimizer: MCTS maximizing win probability vs opponent
- Modificatore Difesa integration + captain selection
- Transfer market analyzer: buy-low/sell-high via xG regression to mean
- Opponent behavior modeling from historical lineage patterns
Phase 4: Agentic Workflow
- Telegram bot: auto-briefing (Friday + Sunday morning)
- Tactical briefing generator with start/sit recommendations
- GitHub Actions CI/CD: scheduled pipeline (scrape → predict → notify)
Infrastructure:
- 31 pytest unit tests (features, models, scraper, optimization)
- requirements.txt (lightgbm, catboost, xgboost, optuna, pulp, playwright, langchain)
- Makefile with install/test/lint/scrape/train/bot targets
- Jupyter notebook: 26_27_strategy.ipynb demonstrating auction + matchday 1 mockup
- Completely rewritten README.md with architecture diagram
41 lines
1.0 KiB
YAML
41 lines
1.0 KiB
YAML
# Fantacalcio scoring rules (FVM standard)
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scoring:
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goal: 3.0 # +3 per goal scored
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assist: 1.0 # +1 per assist
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yellow_card: -0.5 # -0.5 per yellow card
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red_card: -1.0 # -1 per red card
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own_goal: -2.0 # -2 per own goal
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penalty_saved: 3.0 # +3 for GK penalty save
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penalty_missed: -3.0 # -3 for missed penalty
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clean_sheet_gk: 1.0 # +1 for GK clean sheet (min 45min)
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goals_conceded_gk: -1.0 # -1 per goal conceded (GK)
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modificatore_difesa:
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# Average of best 3 defender votes
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threshold_6_0: 1 # +1 if avg >= 6.0
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threshold_6_5: 3 # +3 if avg >= 6.5
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threshold_7_0: 6 # +6 if avg >= 7.0
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roles:
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P: goalkeeper
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D: defender
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C: midfielder
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A: forward
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roster_quotas:
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P: 3 # 3 goalkeepers
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D: 8 # 8 defenders
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C: 8 # 8 midfielders
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A: 6 # 6 forward
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starting_lineup_quotas:
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P: 1 # 1 goalkeeper
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D: 3 # minimum 3 defenders (varies by formation)
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D_max: 5
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C: 3
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C_max: 5
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A: 1
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A_max: 3
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fantavoto_formula: "vote + goals*3 + assists*1 - yellow*0.5 - red*1"
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