Seattle Mariners vs Texas Rangers
Starting pitchers
Lineups
- 1 Rob Refsnyder RF
- 2 Cal Raleigh DH
- 3 Julio Rodríguez CF
- 4 Randy Arozarena LF
- 5 Brendan Donovan 3B
- 6 Mitch Garver C
- 7 J.P. Crawford SS
- 8 Connor Joe 1B
- 9 Cole Young 2B
- 1 Brandon Nimmo RF
- 2 Wyatt Langford LF
- 3 Corey Seager SS
- 4 Jake Burger 1B
- 5 Joc Pederson DH
- 6 Evan Carter CF
- 7 Danny Jansen C
- 8 Josh Smith 2B
- 9 Ezequiel Duran 3B
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| SEA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| TEX | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 3 |
Manager comparison
Both managers grade B- / B- entering this matchup.
Recent form
Season series: 2-2 with SEA listed first across 4 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 +0.06 R/G Optimal arrangement projects 4.15 vs actual lineup 4.10
- Player execution −4.10 R/G Players fell 4.10 short of the lineup's 4.10 projection (scored 0)
- Game variance −4.15 R/G Total game outcome vs optimal expectation
Raleigh 0-for-4 batting 2nd
- Manager lineup cost +0.02 R/G Optimal arrangement projects 3.78 vs actual lineup 3.76
- Player execution −0.76 R/G Players fell 0.76 short of the lineup's 3.76 projection (scored 3)
- Game variance −0.78 R/G Total game outcome vs optimal expectation
Langford 0-for-3 batting 2nd
Optimal lineups projected 4.2 – 3.8 — actual was 0 – 3.
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.