Market intake
Collect available moneyline, spread, and total prices, normalize the board, and establish a consensus market view.
SLS is built around a simple discipline: price the game, understand the market, and pass sport-specific gates before publishing an official recommendation.
A raw projection can be informative and still be a poor betting decision. Sports Line Signal evaluates the distance between model and market while accounting for the reliability of both.
The final status reflects model output, available price, data quality, market sanity, and sport-specific decision rules.
The methodology stays understandable while proprietary formulas, model weights, and licensed data relationships remain protected.
Collect available moneyline, spread, and total prices, normalize the board, and establish a consensus market view.
Add the inputs that matter to the league: availability, rest, expected performance, environment, and matchup-specific conditions.
Generate projected outcomes and probabilities, then convert those estimates into fair prices that can be compared with the market.
Apply historical controls and market-aware calibration so raw model disagreement is not mistaken for a trustworthy edge.
Evaluate edge size, required input quality, pricing integrity, and sport-specific restrictions before a recommendation is published.
Present one consistent customer vocabulary—SLS Recommendation, Best Lean, Slight Lean, No +EV at current prices, Signal pending, and Pricing soon.
The Signal Board uses one set of matchup labels across every league. Only SLS Recommendation is an official play. Best Lean and Slight Lean identify positive-EV analysis that did not clear the recommendation standard.
The board does not publish a separate input-quality grade. Data availability, freshness, price integrity, and sport-specific context are checked inside the decision process before an official recommendation can appear.
Final pregame is a timing tag, not a stronger signal. It means the last scheduled pregame snapshot was preserved for performance tracking and later grading.
Coverage expands as additional leagues complete model development, validation, data-quality checks, and launch review.
Efficiency · injuries · rest · weather · matchup and market context
Explore NFL model →Possessions · efficiency · rest · availability · market calibration
Explore NBA model →Starters · bullpens · lineups · parks · weather · consensus pricing
Explore MLB model →Goaltending · expected performance · special teams · rest · pricing
Explore NHL model →Ratings · market data · matchup context · full-board classification
Explore NCAAF model →An official SLS Recommendation is preserved with the market, line, price, and publication context used when it was released. Once graded, that result remains part of the public Performance record.
Later model improvements affect future recommendations rather than rewriting historical public outcomes. Earlier records retain the recommendation policy that applied when they were published, and missing historical periods are not filled with inferred customer recommendations.
Every supported market remains part of the SLS evaluation even when no worthwhile betting edge is available. A sport may publish zero official recommendations, and SLS does not manufacture selections to satisfy a daily quota.
Review the public recommendation record →Published by Sports Line SignalExplore how matchup labels, Market EV, My EV, and official recommendations come together for members.