ARCHIVE April 11, 2026
April 11, 2026 · NL East

Oakland Athletics vs New York Mets

April 11, 2026Citi FieldSunny 62°F · 12 mph, L To R
AWAY
Oakland Athletics
7-7
11
vs
HOME
New York Mets
7-8
6

Starting pitchers

AWAY · ATH
Jacob Lopez
Jacob Lopez
IP 5
HOME · NYM
Huascar Brazobán
Huascar Brazobán
IP 2.2

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 Jacob Wilson SS
  6. 6 Jeff McNeil 2B
  7. 7 Max Muncy 3B
  8. 8 Carlos Cortes DH
  9. 9 Denzel Clarke CF
HOME · NYM
  1. 1 Francisco Lindor SS
  2. 2 Luis Robert Jr. CF
  3. 3 Jorge Polanco DH
  4. 4 Bo Bichette 3B
  5. 5 Mark Vientos 1B
  6. 6 Francisco Alvarez C
  7. 7 Carson Benge LF
  8. 8 Marcus Semien 2B
  9. 9 Tyrone Taylor RF

Box score

  123456789 R
ATH 025000040 11
NYM 100022100 6

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 +0.00 R/G Optimal arrangement projects 2.51 vs actual lineup 2.51
  • Player execution +8.49 R/G Players exceeded the lineup's 2.51 projection by 8.49 (scored 11)
  • Game variance +8.49 R/G Total game outcome vs optimal expectation

Cortes HR from the 8-hole

HOME · New York Mets
  • Manager lineup cost +0.17 R/G Optimal arrangement projects 4.94 vs actual lineup 4.78
  • Player execution +1.22 R/G Players exceeded the lineup's 4.78 projection by 1.22 (scored 6)
  • Game variance +1.06 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 2.5 – 4.9 — actual was 11 – 6.

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.