๐Ÿˆ CFB Modelopponent-adjusted scoring matrix ยท 2016โ€“2024
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pick teams

Head-to-head scoring matrix

Each factor's net edge (home โˆ’ away), standardized, then scaled to points by the model's calibration. Positive = favors home.

Factor weights

Tune the matrix, or auto-search the weights. Changes re-project instantly and can be re-backtested.

Walk-forward: each season graded using only prior seasons.

Predicted vs actual margin

Each dot is a game (home perspective). Tight diagonal = accurate.

Edge vs ATS outcome

Does a bigger model edge convert to covers?

ATS win rate by season

Cumulative units (flat โˆ’110)

Bankroll curve betting every model ATS pick.

๐Ÿ• Rushing Dogs โ€” the validated edge

Small underdogs (โ‰ค7) whose run game beats the favorite's. Backtest: 56.9% ATS over 833 games (2016โ€“24), +8.6% ROI, every season above break-even, holds out-of-sample. Bet at the close. Home dogs = higher conviction (58.8%), road dogs = stable core (55.9%). Ratings use last season's stats early, blending to current by ~game 4.