Oakland Athletics vs Texas Rangers
Starting pitchers
Lineups
- 1 Nick Kurtz 1B
- 2 Shea Langeliers C
- 3 Carlos Cortes DH
- 4 Tyler Soderstrom LF
- 5 Jacob Wilson SS
- 6 Jeff McNeil 2B
- 7 Max Muncy 3B
- 8 Lawrence Butler RF
- 9 Zack Gelof CF
- 1 Brandon Nimmo RF
- 2 Joc Pederson DH
- 3 Corey Seager SS
- 4 Jake Burger 1B
- 5 Josh Jung 3B
- 6 Evan Carter CF
- 7 Kyle Higashioka C
- 8 Josh Smith 2B
- 9 Alejandro Osuna LF
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| ATH | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 8 |
| TEX | 0 | 0 | 0 | 1 | 0 | 0 | 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 +0.10 R/G Optimal arrangement projects 4.58 vs actual lineup 4.48
- Player execution +3.52 R/G Players exceeded the lineup's 4.48 projection by 3.52 (scored 8)
- Game variance +3.42 R/G Total game outcome vs optimal expectation
Gelof HR from the 9-hole
- Manager lineup cost +0.09 R/G Optimal arrangement projects 4.03 vs actual lineup 3.95
- Player execution −2.95 R/G Players fell 2.95 short of the lineup's 3.95 projection (scored 1)
- Game variance −3.03 R/G Total game outcome vs optimal expectation
Nimmo 0-for-4 batting 1st
Optimal lineups projected 4.6 – 4.0 — actual was 8 – 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.