Oakland Athletics vs Baltimore Orioles
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 Lawrence Butler CF
- 8 Zack Gelof 3B
- 9 Jeff McNeil 2B
- 1 Taylor Ward LF
- 2 Gunnar Henderson SS
- 3 Adley Rutschman C
- 4 Pete Alonso 1B
- 5 Tyler O'Neill RF
- 6 Coby Mayo DH
- 7 Leody Taveras CF
- 8 Jeremiah Jackson 2B
- 9 Weston Wilson 3B
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| ATH | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0 | 4 |
| BAL | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 3 |
Manager comparison
Both managers grade C- / C+ entering this matchup.
Recent form
Season series: 1-0 with ATH 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 +0.03 R/G Optimal arrangement projects 4.56 vs actual lineup 4.54
- Player execution −0.54 R/G Players fell 0.54 short of the lineup's 4.54 projection (scored 4)
- Game variance −0.56 R/G Total game outcome vs optimal expectation
Soderstrom 0-for-4 batting 3rd
- Manager lineup cost +0.04 R/G Optimal arrangement projects 4.97 vs actual lineup 4.94
- Player execution −1.94 R/G Players fell 1.94 short of the lineup's 4.94 projection (scored 3)
- Game variance −1.97 R/G Total game outcome vs optimal expectation
Ward 0-for-4 batting 1st
Optimal lineups projected 4.6 – 5.0 — actual was 4 – 3.
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Jacob Wilson extends hit streak to 12 gamesJacob Wilson (ATH) has a hit in 12 consecutive games — past the 10-game watermark.
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Craig Albernaz (BAL) has run 28 distinct starting lineups across 30 games this season — that's 93% turnover game-to-game. Most managers stay below 14 for the same span.
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Nick Kurtz reaches base in 32 consecutive gamesNick Kurtz (ATH) has reached base safely in 32 straight games — past the 30-game watermark.
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Mark Kotsay (ATH) 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.
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.