MODEL VS MARKET — 3 LARGEST WIN-PROBABILITY DIVERGENCES
Ranked by disagreement over who WINS the game (model win probability vs. the spread-implied probability). The Betting Analysis below ranks by a different question — edge against the posted number — so its order can differ.
TOLEDO +9.5
+34 PTS APART ON WIN %
Largest signal contribution toward this side: rating_gap at +6.2 points of lean. Model and market win probabilities differ by 34 percentage points.
TULSA +13.0+32 PTS APART
Market 20% · Model 53%
Largest signal contribution toward this side: lookahead_spot at -2.0 points of lean. Model and market win probabilities differ by 32 percentage points.
COASTAL CAROLINA +21.0+24 PTS APART
Market 9% · Model 33%
Largest signal contribution toward this side: rating_gap at -3.3 points of lean. Model and market win probabilities differ by 24 percentage points.
Covers every FBS game with a posted line within |spread| ≤ 21. Edge = modeled cover probability minus the vig-implied break-even (52.4%) — a bet on the NUMBER, which is a different question than the win-probability divergences above. Stakes sized by quarter-Kelly, capped at 20% of the weekly budget.
BET $15 · Coastal Carolina +21.0 @ West Virginia
edge +29.5LOG
Sat Sep 5 · 12:00 PM ET · model covers 81.9% · market needs 52.4% · breakdown ▾
LEAN -6.7 (this side)33% to win outright
BET $15 · Tulsa +13.0 vs Oklahoma State
edge +29.0LOG
Sat Sep 5 · 3:45 PM ET · model covers 81.4% · market needs 52.4% · breakdown ▾
LEAN +1.0 (this side)53% to win outright
BET $14 · Toledo +9.5 @ Michigan State
edge +28.4LOG
Fri Sep 4 · 8:00 PM ET · model covers 80.8% · market needs 52.4% · breakdown ▾
LEAN +4.1 (this side)61% to win outright
BET $9 · Clemson +10.0 @ LSU
edge +17.8LOG
Sat Sep 5 · 7:30 PM ET · model covers 70.2% · market needs 52.4% · breakdown ▾
LEAN -1.7 (this side)45% to win outright
BET $8 · Oregon State +20.5 @ Houston
edge +16.1LOG
Sat Sep 5 · 12:00 PM ET · model covers 68.5% · market needs 52.4% · breakdown ▾
LEAN -13.0 (this side)20% to win outright
BET $6 · California +2.0 vs UCLA
edge +12.8LOG
Sat Sep 5 · 10:30 PM ET · model covers 65.2% · market needs 52.4% · breakdown ▾
LEAN +4.1 (this side)61% to win outright
BET $5 · Georgia Tech -6.5 vs Colorado
edge +10.5LOG
Thu Sep 3 · 8:00 PM ET · model covers 62.9% · market needs 52.4% · breakdown ▾
LEAN +11.6 (this side)78% to win outright
BET $5 · Hawai'i +3.0 vs UNLV
edge +10.1LOG
Sat Sep 5 · 10:00 PM ET · model covers 62.5% · market needs 52.4% · breakdown ▾
LEAN +2.0 (this side)55% to win outright
BET $4 · Miami (OH) +16.5 @ Pittsburgh
edge +9.0LOG
Sat Sep 5 · 12:30 PM ET · model covers 61.4% · market needs 52.4% · breakdown ▾
LEAN -12.0 (this side)22% to win outright
BET $3 · Sam Houston +17.0 @ Troy
edge +7.4LOG
Sat Sep 5 · 7:00 PM ET · model covers 59.8% · market needs 52.4% · breakdown ▾
LEAN -13.1 (this side)20% to win outright
remaining games: below edge threshold
$16 UNALLOCATED
Paper trading only. These are tracked model outputs, not wagering recommendations.
HISTORICAL PERFORMANCE — BACKTEST VS RESULTS
Every season below was predicted walk-forward: the model only used data from seasons prior to the one being predicted.
| SEASON | GAMES | STRAIGHT-UP | VS THE LINE | ATS % | BRIER | ML ROI (FLAT $) |
| 2016 |
760 | 70.3% | 358–382–20 | 48.4% | .190 |
no ML data |
| 2017 |
776 | 70.4% | 390–365–21 | 51.7% | .185 |
no ML data |
| 2018 |
772 | 72.4% | 391–361–20 | 52.0% | .175 |
no ML data |
| 2019 |
774 | 73.1% | 377–384–13 | 49.5% | .176 |
no ML data |
| 2020 (COVID — excluded from headline metrics) |
534 | 71.2% | 274–251–9 | 52.2% | .187 |
no ML data |
| 2021 |
770 | 69.5% | 383–378–9 | 50.3% | .187 |
-4.0% |
| 2022 |
776 | 68.7% | 389–374–13 | 51.0% | .199 |
-4.6% |
| 2023 |
792 | 72.3% | 395–381–16 | 50.9% | .185 |
-1.2% |
| 2024 |
798 | 69.2% | 391–388–19 | 50.2% | .193 |
-5.4% |
| 2025 |
808 | 72.5% | 396–394–18 | 50.1% | .184 |
+1.0% |
Moneyline analysis, 3,771 games (2021-2025): flat bets on every straight-up pick returned -2.8%. Two subsets were positive: model-backed underdogs (470 bets, +11.4%) and picks with a ≥5-point modeled edge (968 bets, +2.9%). Both samples are small and were identified alongside other tested strategies, so they are tracked as paper-trading experiments pending live confirmation.
SIGNAL LAB — SUBSET BACKTESTS
TOGGLE SIGNALS · 10 SEASONS OF PRECOMPUTED RESULTS
HOME FIELD ✓
RATING GAP ✓
REST DIFF ✓
OPP PASS DEF TREND ✓
RUSH DEF TREND ✓
PASS OFF TREND ✓
LOOKAHEAD SPOT ✓
TRAVEL KM ✓
ROBOT POLL · regenerated weekly · predictions lock at publication and are not edited
2020 excluded from headline metrics · paper trading only · not wagering advice