← PredictionsAthletics at Texas Rangers
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

Athletics47%
Texas Rangers53%
Texas Rangers 53%, 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

4.6 – 4.8expected runs
1–9Athletics, 80% range
1–9Texas Rangers, 80% range
9.3total runs
Most likely finals 3–4, 2–3, 4–5 (each under 3%, which is the point: no single score is likely). From 6,000 simulated games.

Starting pitchers

Jacob LopezAthletics
Innings5.2 3.7–7.0
Strikeouts5.5 3–9
Walks2.5 1–5
Hits allowed4.8 2–8
Home runs0.8 0–2
Runs allowed2.5 0–5
Pitches87 63–110
2+ strikeouts98%
3+ strikeouts92%
4+ strikeouts81%
5+ strikeouts65%
6+ strikeouts47%
7+ strikeouts32%
Cody BradfordTexas Rangers
Innings5.0 3.3–6.7
Strikeouts3.8 2–6
Walks1.7 0–3
Hits allowed5.5 3–9
Home runs0.6 0–2
Runs allowed2.5 0–5
Pitches84 63–107
1+ strikeouts98%
2+ strikeouts90%
3+ strikeouts75%
4+ strikeouts54%
5+ strikeouts34%
6+ strikeouts18%
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

1.07×park
1.07×run environment
the park favours hitters (1.07x 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_014113