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NCAAF transparent results
NCAAF betting model results and ROINCAAF Recommendations, graded.
Review the published college football record across moneyline, spread, and total markets, including graded selections, units, ROI, and tracked coverage. The cross-sport Best Bets board is a ranked view of official sport recommendations and does not create duplicate results.
Sports
Games analyzed counts every priced matchup in the selected view. Under the current policy, SLS Recommendations counts only the 0–5 official selections published for each sport and calendar date. Big Board membership does not create a second graded wager. Earlier rows retain the recommendation policy in effect when published, and a game can be analyzed without producing a recommendation. Historical coverage can be partial and date-specific, so the displayed sample and coverage dates do not imply that every league game was tracked.
Cumulative one-unit result+15.09u
Aug 23, 2025 – Jan 20, 2026Sport breakdown
Results by league
| Sport | Record | Units | ROI | Sample |
|---|---|---|---|---|
| NCAAF | 131-104-0 | +15.09u | +6.42% | 235 |
Recent grading
Latest selections
Under 51.5NCAAF · Nebraska at Utah · Dec 31, 2025
Under 62.5NCAAF · FIU at UTSA · Dec 27, 2025
Under 64.5NCAAF · UNLV at Ohio · Dec 24, 2025
Under 59.5NCAAF · Western Kentucky at Southern Miss · Dec 23, 2025
Under 57.5NCAAF · Illinois State at UC Davis · Dec 13, 2025
Under 59.5NCAAF · South Dakota at Montana · Dec 13, 2025
Under 53.5NCAAF · South Carolina State at Prairie View A&M · Dec 13, 2025
Under 66.5NCAAF · East Carolina at Florida Atlantic · Nov 29, 2025
Under 60.5NCAAF · Austin Peay at Tarleton State · Nov 22, 2025
Under 52.5NCAAF · Kansas State at Utah · Nov 22, 2025
Methodology
One transparent recommendation record
The season record combines approved historical pregame evidence with automatically tracked live selections. The highest-quality complete source is chosen once per matchup, overlapping games are counted once, and every recommendation is graded at a one-unit stake. Missing historical card dates are not filled with inferred customer recommendations.
Performance definitions
How to read these results.
These definitions apply to the public SLS Recommendation record and the active filters shown above.
- Record
- Wins–losses–pushes for graded selections published as official SLS Recommendations.
- Win rate
- Wins divided by wins plus losses. Pushes are excluded from the calculation.
- Units
- Every public SLS Recommendation is graded as risking one unit at its published price. A loss is −1.00u, a win earns profit according to the published odds, and a push returns 0.00u.
- ROI
- Net units won or lost divided by total units risked, expressed as a percentage.
- Recommendations / sample
- Recommendations is the number of official selections within the active filters. Sample is the number already graded and represented in the record, units, and ROI.
- Coverage
- The date range for which eligible recommendation data exists in the selected view. It does not imply that every league game produced—or was required to produce—a recommendation.
- Partial coverage
- A sport’s record may begin after the start of its season when eligible SLS Recommendations were not published during an earlier period.
Published historical outcomes are not rewritten after later model changes, and missing historical periods are not filled with invented customer recommendations.