Team ratings
Current team strength provides the foundation for matchup and scoring projections.
College football combines a large, uneven market with meaningful differences in team strength and matchup context. SLS uses ratings, availability, market data, and sport-specific decision rules to classify the full supported board.
The league shares SLS product standards while retaining the inputs and decision rules that fit its market.
Current team strength provides the foundation for matchup and scoring projections.
Expected participation and material personnel changes are considered before publication.
Style, efficiency, and opponent interaction help shape the projected distribution.
Rest, travel, location, and weekly context can move the fair number.
Moneyline, spread, and total markets are classified without forcing a recommendation.
Every supported market remains visible. A positive projection is still analysis until it clears price, quality, and sport-specific publication gates.
Read the full model methodology →Estimate outright win probability and compare it with the available price.
Evaluate cover probability at the listed college-football spread.
Price the scoring distribution around the market’s posted total.
SLS does not force a pick from every game or fill a daily quota with weaker edges.
Generate sport-specific probabilities and fair prices for each supported market.
Measure the separation between the model and the currently available consensus price.
Check data readiness, price integrity, edge quality, and league-specific restrictions.
Publish an SLS Recommendation, a positive-EV lean, or a clear pass without hiding the market.
Review the published college football record across moneyline, spread, and total markets, including graded selections, units, ROI, and tracked coverage.