New York Mets vs San Francisco Giants
Starting pitchers
Lineups
- 1 Francisco Lindor SS
- 2 Juan Soto LF
- 3 Bo Bichette 3B
- 4 Luis Robert CF
- 5 Brett Baty 1B
- 6 Mark Vientos DH
- 7 Marcus Semien 2B
- 8 Carson Benge RF
- 9 Francisco Alvarez C
- 1 Willy Adames SS
- 2 Rafael Devers DH
- 3 Luis Arraez 2B
- 4 Matt Chapman 3B
- 5 Jung Hoo Lee RF
- 6 Heliot Ramos LF
- 7 Harrison Bader CF
- 8 Patrick Bailey C
- 9 Jerar Encarnacion 1B
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| NYM | 2 | 0 | 0 | 3 | 0 | 0 | 3 | 0 | 2 | 10 |
| SF | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 3 |
Manager comparison
Both managers grade D+ / 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 +0.22 R/G Optimal arrangement projects 4.99 vs actual lineup 4.77
- Player execution +5.23 R/G Players exceeded the lineup's 4.77 projection by 5.23 (scored 10)
- Game variance +5.01 R/G Total game outcome vs optimal expectation
Semien HR from the 7-hole
- Manager lineup cost −0.02 R/G Optimal arrangement projects 3.12 vs actual lineup 3.14
- Player execution −0.14 R/G Players fell 0.14 short of the lineup's 3.14 projection (scored 3)
- Game variance −0.12 R/G Total game outcome vs optimal expectation
Devers 0-for-4 batting 2nd
Optimal lineups projected 5.0 – 3.1 — actual was 10 – 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.