New York Yankees vs Milwaukee Brewers
Starting pitchers
Lineups
- 1 Trent Grisham CF
- 2 Ben Rice 1B
- 3 Aaron Judge RF
- 4 Cody Bellinger LF
- 5 Jazz Chisholm Jr. 2B
- 6 Spencer Jones DH
- 7 José Caballero SS
- 8 Austin Wells C
- 9 Ryan McMahon 3B
- 1 Jackson Chourio CF
- 2 Brice Turang 2B
- 3 William Contreras C
- 4 Gary Sánchez DH
- 5 Andrew Vaughn 1B
- 6 Luis Rengifo 3B
- 7 Brandon Lockridge LF
- 8 Sal Frelick RF
- 9 Joey Ortiz SS
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| NYY | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| MIL | 0 | 4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 |
Manager comparison
Both managers grade C+ / B- entering this matchup.
Recent form
Season series: 0-1 with NYY 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 +0.04 R/G Optimal arrangement projects 2.99 vs actual lineup 2.94
- Player execution −2.94 R/G Players fell 2.94 short of the lineup's 2.94 projection (scored 0)
- Game variance −2.99 R/G Total game outcome vs optimal expectation
Grisham 0-for-3 batting 1st
- Manager lineup cost +0.02 R/G Optimal arrangement projects 3.08 vs actual lineup 3.06
- Player execution +2.94 R/G Players exceeded the lineup's 3.06 projection by 2.94 (scored 6)
- Game variance +2.92 R/G Total game outcome vs optimal expectation
Turang 0-for-4 batting 2nd
Optimal lineups projected 3.0 – 3.1 — actual was 0 – 6.
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Aaron Boone (NYY) 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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Pat Murphy (MIL) has run 29 distinct starting lineups across 29 games this season — that's 100% turnover game-to-game. Most managers stay below 13 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.