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Kansas City Royals 3–4 Toronto Blue Jays

← Major League Baseball 2026 · Sat, Sep 5, 11:10 PM UTC

Probable pitchers: away: Max Scherzer (ERA 6.16, WHIP 1.39) · home: Seth Lugo (ERA 5.03, WHIP 1.42)

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

BetStrategyStakeOddsTo winModel edgeP&LStatus
leg 1: Miami Marlins win in Miami Marlins v Chicago Cubs · Match winner (2-way) @ 2.24 lost
leg 2: San Francisco Giants win in New York Mets v San Francisco Giants · Match winner (2-way) @ 2.46 won
leg 3: Toronto Blue Jays win in Kansas City Royals v Toronto Blue Jays · Match winner (2-way) @ 2.01 won
Chaos parlay$2.0011.06$20.11+16%-2.00lost
Toronto Blue Jays win in Kansas City Royals v Toronto Blue Jays · Match winner (2-way) @ 2.01
Elo value MLB$10.002.01$10.10+4%+10.10won

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
Kansas City Royals win52%1.93
Toronto Blue Jays win48%2.01

across 1 bookmaker · probabilities de-vigged (bookmaker margin removed)

Price movement — Match winner (2-way)

OutcomeTrendFirstNowMove
Toronto Blue Jays win1.931.930.0%
Kansas City Royals win1.761.90+7.6%

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

Scoring by inning

123456789Total
Toronto Blue Jays2010001004
Kansas City Royals2001000003

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.

MetricKansas City RoyalsToronto Blue Jays
congestion 21d19.0017.00
elo1468.811524.93
elo momentum (last 5)-12.4614.07
matches since win1.000.00
rest days0.960.96
runs against avg (last 10)4.903.30
runs for avg (last 10)4.805.40