ARCHIVE April 12, 2026
April 12, 2026 · NL East

Oakland Athletics vs New York Mets

April 12, 2026Citi FieldSunny 55°F · 6 mph, Out To LF
AWAY
Oakland Athletics
8-7
1
vs
HOME
New York Mets
7-9
0

Starting pitchers

AWAY · ATH
Aaron Civale
Aaron Civale
IP 5.2
HOME · NYM
Freddy Peralta
Freddy Peralta
IP 6

Lineups

AWAY · ATH
  1. 1 Lawrence Butler RF
  2. 2 Nick Kurtz 1B
  3. 3 Shea Langeliers C
  4. 4 Tyler Soderstrom LF
  5. 5 Carlos Cortes DH
  6. 6 Max Muncy 3B
  7. 7 Jeff McNeil 2B
  8. 8 Darell Hernaiz SS
  9. 9 Denzel Clarke CF
HOME · NYM
  1. 1 Francisco Lindor SS
  2. 2 Jorge Polanco DH
  3. 3 Jared Young 1B
  4. 4 Bo Bichette 3B
  5. 5 Brett Baty RF
  6. 6 Marcus Semien 2B
  7. 7 Carson Benge CF
  8. 8 Luis Torrens C
  9. 9 Tyrone Taylor LF

Box score

  123456789 R
ATH 001000000 1
NYM 000000000 0

Manager comparison

Both managers grade C- / D+ entering this matchup.

AWAY · ATH
Mark Kotsay
C- Lineup 2.6 R Bunts 1.1 R IBBs 1.1 R
HOME · NYM
Carlos Mendoza
D+ Lineup 2.9 R Bunts 1.4 R IBBs 0.9 R

Recent form

AWAY · ATH
5-5 W2 -1 run diff
WWLLWLLWWL
HOME · NYM
5-4 L1 +2 run diff
LW?WWLWLLW

Season series: 3-0 with ATH listed first across 3 prior meetings.

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.

AWAY · Oakland Athletics
  • Manager lineup cost +0.12 R/G Optimal arrangement projects 3.93 vs actual lineup 3.81
  • Player execution −2.81 R/G Players fell 2.81 short of the lineup's 3.81 projection (scored 1)
  • Game variance −2.93 R/G Total game outcome vs optimal expectation

Butler 0-for-4 batting 1st

HOME · New York Mets
  • Manager lineup cost +0.21 R/G Optimal arrangement projects 3.63 vs actual lineup 3.43
  • Player execution −3.42 R/G Players fell 3.42 short of the lineup's 3.43 projection (scored 0)
  • Game variance −3.63 R/G Total game outcome vs optimal expectation

Polanco 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 3.9 – 3.6 — actual was 1 – 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.

Read the full methodology.