Seattle Mariners vs Chicago White Sox
Starting pitchers
Lineups
- 1 Brendan Donovan 3B
- 2 Cal Raleigh C
- 3 Julio Rodríguez CF
- 4 Josh Naylor 1B
- 5 Randy Arozarena LF
- 6 J.P. Crawford SS
- 7 Luke Raley RF
- 8 Dominic Canzone DH
- 9 Cole Young 2B
- 1 Sam Antonacci LF
- 2 Munetaka Murakami 1B
- 3 Miguel Vargas 3B
- 4 Colson Montgomery SS
- 5 Chase Meidroth 2B
- 6 Andrew Benintendi DH
- 7 Jarred Kelenic RF
- 8 Tristan Peters CF
- 9 Drew Romo C
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| SEA | 0 | 1 | 4 | 0 | 1 | 0 | 3 | 3 | 0 | 12 |
| CWS | 1 | 0 | 4 | 0 | 0 | 0 | 0 | 2 | 1 | 8 |
Manager comparison
Both managers grade B- / D- entering this matchup.
Recent form
Season series: 1-0 with SEA listed first across 1 prior meeting.
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 +0.01 R/G Optimal arrangement projects 3.90 vs actual lineup 3.90
- Player execution +8.10 R/G Players exceeded the lineup's 3.90 projection by 8.10 (scored 12)
- Game variance +8.10 R/G Total game outcome vs optimal expectation
Raley HR from the 7-hole
- Manager lineup cost +0.11 R/G Optimal arrangement projects 3.55 vs actual lineup 3.44
- Player execution +4.56 R/G Players exceeded the lineup's 3.44 projection by 4.56 (scored 8)
- Game variance +4.45 R/G Total game outcome vs optimal expectation
Lineup spots out of order vs season production
Optimal lineups projected 3.9 – 3.5 — actual was 12 – 8.
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Dan Wilson (SEA) has run 27 distinct starting lineups across 30 games this season — that's 90% turnover game-to-game. Most managers stay below 14 for the same span.
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Colson Montgomery reaches base in 20 consecutive gamesColson Montgomery (CWS) has reached base safely in 20 straight games — past the 20-game watermark.
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Will Venable (CWS) has run 30 distinct starting lineups across 30 games this season — that's 100% turnover game-to-game. Most managers stay below 14 for the same span.
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.