New York Mets vs San Francisco Giants
Starting pitchers
Lineups
- 1 Francisco Lindor SS
- 2 Juan Soto LF
- 3 Bo Bichette 3B
- 4 Jorge Polanco DH
- 5 Luis Robert CF
- 6 Mark Vientos 1B
- 7 Marcus Semien 2B
- 8 Francisco Alvarez C
- 9 Tyrone Taylor RF
- 1 Willy Adames SS
- 2 Rafael Devers DH
- 3 Heliot Ramos LF
- 4 Luis Arraez 2B
- 5 Matt Chapman 3B
- 6 Jung Hoo Lee RF
- 7 Harrison Bader CF
- 8 Daniel Susac C
- 9 Casey Schmitt 1B
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| NYM | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| SF | 3 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 7 |
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 −0.05 R/G Optimal arrangement projects 3.23 vs actual lineup 3.28
- Player execution −1.28 R/G Players fell 1.28 short of the lineup's 3.28 projection (scored 2)
- Game variance −1.23 R/G Total game outcome vs optimal expectation
Polanco 0-for-4 batting 4th
- Manager lineup cost +0.01 R/G Optimal arrangement projects 4.75 vs actual lineup 4.74
- Player execution +2.26 R/G Players exceeded the lineup's 4.74 projection by 2.26 (scored 7)
- Game variance +2.25 R/G Total game outcome vs optimal expectation
Adames 0-for-4 batting 1st
Optimal lineups projected 3.2 – 4.8 — actual was 2 – 7.
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.