New York Mets vs St. Louis Cardinals
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 JJ Wetherholt 2B
- 2 Iván Herrera DH
- 3 Alec Burleson 1B
- 4 Masyn Winn SS
- 5 Nolan Gorman 3B
- 6 Thomas Saggese LF
- 7 Nathan Church RF
- 8 Pedro Pagés C
- 9 Victor Scott CF
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | R | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NYM | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| STL | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 |
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 −0.09 R/G Optimal arrangement projects 4.51 vs actual lineup 4.60
- Player execution −3.60 R/G Players fell 3.60 short of the lineup's 4.60 projection (scored 1)
- Game variance −3.51 R/G Total game outcome vs optimal expectation
Lindor 0-for-4 batting 1st
- Manager lineup cost +0.00 R/G Optimal arrangement projects 3.83 vs actual lineup 3.83
- Player execution −1.83 R/G Players fell 1.83 short of the lineup's 3.83 projection (scored 2)
- Game variance −1.83 R/G Total game outcome vs optimal expectation
Burleson 0-for-5 batting 3rd
Optimal lineups projected 4.5 – 3.8 — actual was 1 – 2.
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.