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New York Mets 1–2 Baltimore Orioles

← Major League Baseball 2026 · Mon, Sep 14, 11:10 PM UTC

Probable pitchers: · home: Jonah Tong (ERA 4.8, WHIP 1.33)

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

BetStrategyStakeOddsTo winModel edgeP&LStatus
leg 1: Cincinnati Reds win in Cincinnati Reds v Los Angeles Dodgers · Match winner (2-way) @ 2.87 lost
leg 2: Arizona Diamondbacks win in Arizona Diamondbacks v Miami Marlins · Match winner (2-way) @ 1.77 won
leg 3: New York Mets win in New York Mets v Baltimore Orioles · Match winner (2-way) @ 1.85 lost
Chaos parlay$2.009.40$16.80+18%-2.00lost
New York Mets win in New York Mets v Baltimore Orioles · Match winner (2-way) @ 1.85
Elo value MLB$10.001.85$8.50+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 win55%1.85
Baltimore Orioles win45%2.19

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

Price movement — Match winner (2-way)

OutcomeTrendFirstNowMove
Baltimore Orioles win2.192.05-6.2%
New York Mets win1.671.81+8.4%

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

Scoring by inning

123456789Total
Baltimore Orioles0100000102
New York Mets0001000001

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 MetsBaltimore Orioles
congestion 21d18.0019.00
elo1503.621492.39
elo momentum (last 5)7.73-3.54
matches since win1.002.00
rest days1.231.23
runs against avg (last 10)5.405.20
runs for avg (last 10)7.603.70