Oakland Athletics vs Texas Rangers
Starting pitchers
Lineups
- 1 Shea Langeliers DH
- 2 Nick Kurtz 1B
- 3 Colby Thomas RF
- 4 Tyler Soderstrom LF
- 5 Jacob Wilson SS
- 6 Max Muncy 3B
- 7 Darell Hernaiz 2B
- 8 Austin Wynns C
- 9 Zack Gelof CF
- 1 Brandon Nimmo RF
- 2 Andrew McCutchen DH
- 3 Corey Seager SS
- 4 Jake Burger 1B
- 5 Josh Jung 3B
- 6 Ezequiel Duran 2B
- 7 Danny Jansen C
- 8 Evan Carter CF
- 9 Sam Haggerty LF
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| ATH | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
| TEX | 0 | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 4 |
Manager comparison
Both managers grade C- / B- entering this matchup.
Recent form
Season series: 4-3 with ATH listed first across 7 prior meetings.
Tactical analysis
RunsLeft separates manager decisions from player execution from game variance. Each card below is the same three-number framework that drives the share cards on the SPA replay page.
- Manager lineup cost +0.12 R/G Optimal arrangement projects 4.26 vs actual lineup 4.14
- Player execution −1.14 R/G Players fell 1.14 short of the lineup's 4.14 projection (scored 3)
- Game variance −1.26 R/G Total game outcome vs optimal expectation
Kurtz 0-for-4 batting 2nd
- Manager lineup cost +0.06 R/G Optimal arrangement projects 3.80 vs actual lineup 3.74
- Player execution +0.26 R/G Players exceeded the lineup's 3.74 projection by 0.26 (scored 4)
- Game variance +0.20 R/G Total game outcome vs optimal expectation
Nimmo 0-for-3 batting 1st
Optimal lineups projected 4.3 – 3.8 — actual was 3 – 4.
Keep reading
How RunsLeft analyzes games
Standard content on this page comes from the MLB Stats API. Tactical analysis comes from a per-game Monte Carlo: 10,000 simulated games against the opposing starter's ERA, both for the actual lineup the manager wrote and for the optimal arrangement of those nine players. The three numbers — manager cost, player execution, game variance — separate which part of the result was the lineup, the players, or the dice.