⚽ Tomulator
Overview
◈Dashboard📅Today's games◎State of play
Money
💷Bets & strategies
Explore
⊞Leagues & seasons📐Metrics▤Data sources
Engine room
🎲Simulations🧪Lab≣Catalog?How this works

New York Mets 10–6 San Francisco Giants

← Major League Baseball 2026 · Fri, Sep 4, 11:10 PM UTC

Probable pitchers: away: Matt Wilkinson (ERA 4.63, WHIP 1.11) · home: Nolan McLean (ERA 3.06, WHIP 1.12)

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

BetStrategyStakeOddsTo winModel edgeP&LStatus
San Francisco Giants win in New York Mets v San Francisco Giants · Match winner (2-way) @ 2.52
Elo value MLB$10.002.52$15.22+6%-10.00lost
leg 1: Under in New York City FC v Nashville SC · Over/Under 2.5 goals @ 2.10
leg 2: Toronto Blue Jays win in Kansas City Royals v Toronto Blue Jays · Match winner (2-way) @ 2.09
leg 3: San Francisco Giants win in New York Mets v San Francisco Giants · Match winner (2-way) @ 2.46
Chaos parlay$2.0010.82$19.63+26%—pending
San Francisco Giants win in New York Mets v San Francisco Giants · Match winner (2-way) @ 2.46
MLB dog variance$10.002.46$14.59+4%-10.00lost

The betting picturemarket vs our model, market by market

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

Who wins?

OutcomeMarket saysBest price
New York Mets win62%1.57
San Francisco Giants win38%2.66

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

Price movement — Match winner (2-way)

OutcomeTrendFirstNowMove
San Francisco Giants win2.522.58+2.3%
New York Mets win1.501.53+1.9%

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

Scoring by inning

123456789Total
San Francisco Giants0020001306
New York Mets34000201—10

The match in numberswhat each side looked like walking in

Pre-match form

What each side looked like walking in — computed only from games before this one.

MetricNew York MetsSan Francisco Giants
congestion 21d18.0020.00
elo1490.341464.27
elo momentum (last 5)4.697.21
matches since win0.001.00
rest days2.021.27
runs against avg (last 10)4.305.60
runs for avg (last 10)3.205.80