Oakland Athletics vs Toronto Blue Jays
Starting pitchers
Lineups
- 1 Nick Kurtz 1B
- 2 Shea Langeliers C
- 3 Tyler Soderstrom LF
- 4 Brent Rooker DH
- 5 Jacob Wilson SS
- 6 Lawrence Butler RF
- 7 Max Muncy 3B
- 8 Jeff McNeil 2B
- 9 Denzel Clarke CF
- 1 George Springer DH
- 2 Nathan Lukes LF
- 3 Vladimir Guerrero 1B
- 4 Addison Barger RF
- 5 Alejandro Kirk C
- 6 Daulton Varsho CF
- 7 Kazuma Okamoto 3B
- 8 Ernie Clement 2B
- 9 Andrés Giménez SS
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| ATH | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 |
| TOR | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 3 |
Manager comparison
Both managers grade C- / B entering this matchup.
Recent form
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 3.64 vs actual lineup 3.61
- Player execution −1.61 R/G Players fell 1.61 short of the lineup's 3.61 projection (scored 2)
- Game variance −1.64 R/G Total game outcome vs optimal expectation
Kurtz 0-for-4 batting 1st
- Manager lineup cost −0.10 R/G Optimal arrangement projects 3.87 vs actual lineup 3.97
- Player execution −0.97 R/G Players fell 0.97 short of the lineup's 3.97 projection (scored 3)
- Game variance −0.87 R/G Total game outcome vs optimal expectation
Springer 0-for-4 batting 1st
Optimal lineups projected 3.6 – 3.9 — actual was 2 – 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.