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Pitcher edge

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.

The rule, in plain words

  • Probabilities come from: Elo rating (strength score updated after every match; converted to a win probability).
  • Bets any Match winner (2-way) selection where the model's probability Γ— best available price beats 1.00 by more than 0% β€” i.e. the model thinks the outcome is meaningfully more likely than the price implies.
  • Extra condition: starter era gap (in the bet side's favour) must be at least 1.
  • Stakes: flat $10 per bet.

baseball Β· Match winner (2-way) Β· status: live Β· betting forward from 2026-07-04 Β· same $1000 start as every other strategy

$990.00
balance (started at $1000)
-10.00
-100.0% return on money staked
0/1
bets won / settled
0 bets still pending

Every bet this strategy madelatest 2

BetStakeOddsTo winModel edgeP&LStatus
Texas Rangers win in Texas Rangers v Detroit Tigers Β· Match winner (2-way) @ 1.76
$10.001.76$7.63+1%-10.00lost
Texas Rangers win in Texas Rangers v Detroit Tigers Β· Match winner (2-way) @ 1.76
$10.001.76$7.63+1%β€”void

"Model edge" = model probability Γ— odds βˆ’ 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.