← PredictionsMiami Marlins at Kansas City Royals
Every number here is a probability, not a call. Over the last 14 days the next-pitch model was graded on 34,173 real pitches: the top pick was right 39% of the time, and stated probabilities landed within 1.4 points of how often things actually happened. It grades itself every night and corrects what it can.

Win probability

Miami Marlins51%
Kansas City Royals49%
Miami Marlins 51%, give or take 0.6 points of simulation noise · anchored to 115,696 real games in this exact situation, then adjusted for these two teams.

Projected score

4.3 – 3.8expected runs
1–8Miami Marlins, 80% range
1–7Kansas City Royals, 80% range
8.1total runs
Most likely finals 3–4, 2–3, 1–2 (each under 4%, which is the point: no single score is likely). From 6,000 simulated games.

Starting pitchers

Eury PérezMiami Marlins
Innings5.2 3.7–7.0
Strikeouts5.6 3–9
Walks2.2 0–4
Hits allowed4.1 2–7
Home runs0.6 0–2
Runs allowed2.0 0–4
Pitches83 60–107
2+ strikeouts98%
3+ strikeouts92%
4+ strikeouts81%
5+ strikeouts66%
6+ strikeouts49%
7+ strikeouts33%
Noah CameronKansas City Royals
Innings5.7 4.0–7.7
Strikeouts5.7 3–9
Walks2.1 0–4
Hits allowed5.1 2–8
Home runs0.7 0–2
Runs allowed2.4 0–5
Pitches92 67–118
3+ strikeouts93%
4+ strikeouts83%
5+ strikeouts68%
6+ strikeouts51%
7+ strikeouts34%
8+ strikeouts22%
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

1.05×park
1.05×run environment
the park favours hitters (1.05x runs). Park factors are measured from 25,110 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 20260902_014011