These are probability estimates, not guarantees. A verified evaluation using only information available before each event is not yet published.

Win probability

Philadelphia Phillies99%
Baltimore Orioles1%
Philadelphia Phillies 99%, give or take 0.1 points of simulation noise · anchored to 1,202 real games in this exact situation, then adjusted for these two teams.

Projected score

9.5 – 2.0expected runs
8–12Philadelphia Phillies, 84% of outcomes
0–5Baltimore Orioles, 84% of outcomes
11.4total runs
Most likely finals 8–0, 8–1, 8–2 (each under 11%, which is the point: no single score is likely). From 6,000 simulated games.

Starting pitchers

Orion KerkeringPhiladelphia Phillies
Innings0.7 0.3–1.0
Strikeouts0.8 0–2
Walks0.5 0–1
Hits allowed0.7 0–2
Home runs0.1 0–0
Runs allowed0.2 0–1
Pitches17 12–20
1+ strikeouts59%
2+ strikeouts20%
3+ strikeouts3%
Kyle BradishBaltimore Orioles
Innings2.5 1.7–3.0
Strikeouts2.5 1–4
Walks1.1 0–2
Hits allowed2.3 1–4
Home runs0.3 0–1
Runs allowed1.1 0–3
Pitches44 38–52
1+ strikeouts94%
2+ strikeouts75%
3+ strikeouts48%
4+ strikeouts24%
5+ strikeouts8%
6+ strikeouts2%
Each figure is the median of the simulated games with an 80% range beside it. Pitch counts are estimated from batters faced (fitted on 17,200 real outings; typical error 8 pitches). These assume the starter is not pulled early for a reason the model cannot see — an injury, a blowout, or a quick hook.

Park and weather

1.02×park
82°Ftemperature
1.06×run environment
82F (1.04x). Park factors are measured from 25,191 games by comparing each club at home with the same club on the road, so a good offence does not inflate its own park. Player rates are park-neutralised before this is applied, or the park would count twice.
What this does not know
Full game page · state as of 20260802_211955