⚽ Tomulator
Overview
β—ˆDashboardπŸ“…Today's gamesβ—ŽState of play
Money
πŸ’·Bets & strategies
Explore
⊞Leagues & seasonsπŸ“Metricsβ–€Data sources
Engine room
🎲SimulationsπŸ§ͺLab≣Catalog?How this works

San Francisco Giants 5–2 Minnesota Twins

← Major League Baseball 2026 Β· Tue, Sep 22, 01:45 AM UTC

Probable pitchers: away: Zebby Matthews (ERA 4.74, WHIP 1.24) Β· home: Blade Tidwell (ERA 4.56, WHIP 1.2)

Riding on this matchevery paper bet with a leg in this game

BetStrategyStakeOddsTo winModel edgeP&LStatus
San Francisco Giants win in San Francisco Giants v Minnesota Twins Β· Match winner (2-way) @ 2.00
Portfolio$10.732.00$10.73+6%+10.73won
San Francisco Giants win in San Francisco Giants v Minnesota Twins Β· Match winner (2-way) @ 1.86
Elo value MLB$10.001.86$8.61+7%+8.61won

The betting picturemarket vs our model, market by market

β€œMarket” = what bookmaker prices imply after removing their margin β€” the world's best guess. β€œModel” = our simulation. A bet is only interesting when the model sees something meaningfully more likely than the market does (the edge) β€” it's never about picking the winner.

Who wins?

OutcomeMarket saysBest price
Minnesota Twins win50%2.81
San Francisco Giants win50%2.01

across 10 bookmakers Β· probabilities de-vigged (bookmaker margin removed)

Price movement β€” Match winner (2-way)

OutcomeTrendFirstNowMove
Minnesota Twins win1.902.81+48.3%
San Francisco Giants win1.861.46-21.6%

daily consensus price (median across books). A shortening price means money is arriving on that outcome.

Scoring by inning

123456789Total
Minnesota Twins0001000102
San Francisco Giants22001000β€”5

The match in numberswhat each side looked like walking in

Pre-match form

What each side looked like walking in β€” computed only from games before this one.

MetricSan Francisco GiantsMinnesota Twins
congestion 21d18.0018.00
elo1461.231454.47
elo momentum (last 5)1.067.12
matches since win3.000.00
rest days1.231.23
runs against avg (last 10)5.704.80
runs for avg (last 10)4.603.70