Who's on the mound matters most in baseball. Bet an MLB moneyline side when its probable starter's season ERA is at least 1.00 better than the opponent's (mlb.starter_era_gap, signed to the bet side) AND our Elo sees any positive edge at the best live price. First strategy to use contest-scoped context metrics.
baseball Β· Match winner (2-way) Β· status: live Β· betting forward from 2026-07-04 Β· same $1000 start as every other strategy
| Bet | Stake | Odds | To win | Model edge | P&L | Status |
|---|---|---|---|---|---|---|
Texas Rangers win in Texas Rangers v Detroit Tigers Β· Match winner (2-way) @ 1.76 | $10.00 | 1.76 | $7.63 | +1% | -10.00 | lost |
Texas Rangers win in Texas Rangers v Detroit Tigers Β· Match winner (2-way) @ 1.76 | $10.00 | 1.76 | $7.63 | +1% | β | void |
"Model edge" = model probability Γ odds β 1 at the moment of betting: the profit the model expected per $1. Positive edge can still lose (single bets usually do) β the question is whether edges are positive on average AND the model's probabilities are honest.