What the model actually is
A per-market logistic regression on leak-safe pregame features (baseline_logistic) gives the hit probability; a Ridge model gives the projected stat. Validated by training on 2023–2024 and testing on 2025; refit on every past season for the current one. The same model covers QB markets — nothing here is calibrated to the book. Edge is model hit probability minus the implied probability of the posted American price — not a gut feel, not a recency narrative.
Similarity comps explain a pick; they are not a second model. The 11-on-11 field is roster structure (skill hue + pair rating Δ), never a scored market. Nothing on this page is a moneyline or spread call.
Why the theory is worth cheering
Continuous yards are the book’s home field. Volume, snaps, and scheme are already in the number. Discrete scoring — who finds the end zone, who catches enough to matter — still leaks player-role and matchup structure the line does not fully eat. Anytime TD ranking sits near AUC 0.77. That is not magic. It is the shape of football: scoring is rarer, noisier, and more role-driven than “will this back go over 64.5.”
We tried to steal the yards markets anyway. Weather, injuries, line movement, and 2026 depth features were added leak-safe and tested. No AUC lift survived bootstrap. No confident-decile ROI cleared zero. The line won. Since 2026-10-01 yards are decided by the same calibrated rule as every market instead of a blanket label, and each card says the measured reason it is not a pick — plus his yards in similar games, never anchored to the book.