Starting pitchers
Expected starter quality, availability, and workload shape the baseline game projection.
Baseball pricing changes quickly as starting pitchers, bullpen availability, lineups, weather, parks, and market prices become clearer. SLS brings those inputs together before classifying each supported MLB market.
The league shares SLS product standards while retaining the inputs and decision rules that fit its market.
Expected starter quality, availability, and workload shape the baseline game projection.
Recent relief usage and available depth help frame the late-inning distribution.
Expected and confirmed batting availability changes how each side of the matchup is priced.
Venue, roof state, temperature, wind, and run environment inform scoring expectations.
Model probabilities are compared with consensus moneyline, run line, and total prices.
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 →Price each team’s probability of winning the game and compare it with the available market.
Evaluate the listed run spread and price, including favorite and underdog coverage probability.
Estimate the scoring distribution around the posted total rather than treating every over or under alike.
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 MLB recommendation record across moneyline, run line, and total markets, including graded selections, units, ROI, and tracked coverage.