New York Mets vs San Francisco Giants
Starting pitchers
Lineups
- 1 Francisco Lindor SS
- 2 Bo Bichette 3B
- 3 Jorge Polanco DH
- 4 Brett Baty RF
- 5 Mark Vientos 1B
- 6 Jared Young LF
- 7 Marcus Semien 2B
- 8 Carson Benge CF
- 9 Luis Torrens C
- 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 Patrick Bailey C
- 9 Jerar Encarnacion 1B
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| NYM | 0 | 3 | 0 | 0 | 5 | 0 | 1 | 0 | 0 | 9 |
| SF | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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 +0.18 R/G Optimal arrangement projects 3.22 vs actual lineup 3.04
- Player execution +5.96 R/G Players exceeded the lineup's 3.04 projection by 5.96 (scored 9)
- Game variance +5.78 R/G Total game outcome vs optimal expectation
Lindor 0-for-5 batting 1st
- Manager lineup cost +0.04 R/G Optimal arrangement projects 2.40 vs actual lineup 2.36
- Player execution −2.36 R/G Players fell 2.36 short of the lineup's 2.36 projection (scored 0)
- Game variance −2.40 R/G Total game outcome vs optimal expectation
Adames 0-for-3 batting 1st
Optimal lineups projected 3.2 – 2.4 — actual was 9 – 0.
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.