Oakland Athletics vs Texas Rangers
Starting pitchers
Lineups
- 1 Nick Kurtz 1B
- 2 Shea Langeliers C
- 3 Tyler Soderstrom LF
- 4 Brent Rooker DH
- 5 Carlos Cortes RF
- 6 Jacob Wilson SS
- 7 Jeff McNeil 2B
- 8 Lawrence Butler CF
- 9 Darell Hernaiz 3B
- 1 Brandon Nimmo RF
- 2 Joc Pederson DH
- 3 Corey Seager SS
- 4 Josh Jung 3B
- 5 Evan Carter CF
- 6 Jake Burger 1B
- 7 Josh Smith 2B
- 8 Danny Jansen C
- 9 Alejandro Osuna LF
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| ATH | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| TEX | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
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 +0.00 R/G Optimal arrangement projects 3.70 vs actual lineup 3.70
- Player execution −1.70 R/G Players fell 1.70 short of the lineup's 3.70 projection (scored 2)
- Game variance −1.70 R/G Total game outcome vs optimal expectation
Rooker 0-for-4 batting 4th
- Manager lineup cost +0.00 R/G Optimal arrangement projects 3.46 vs actual lineup 3.46
- Player execution −2.46 R/G Players fell 2.46 short of the lineup's 3.46 projection (scored 1)
- Game variance −2.46 R/G Total game outcome vs optimal expectation
Seager 0-for-5 batting 3rd
Optimal lineups projected 3.7 – 3.5 — actual was 2 – 1.
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.