ARCHIVE April 7, 2026
April 7, 2026 · NL East

Arizona Diamondbacks vs New York Mets

April 7, 2026Citi FieldSunny 50°F · 17 mph, L To R
vs
HOME
New York Mets
7-4
4

Starting pitchers

AWAY · AZ
Zac Gallen
Zac Gallen
IP 5
HOME · NYM
Freddy Peralta
Freddy Peralta
IP 4.2

Lineups

AWAY · AZ
  1. 1 Ketel Marte 2B
  2. 2 Corbin Carroll RF
  3. 3 Geraldo Perdomo SS
  4. 4 Gabriel Moreno C
  5. 5 Adrian Del Castillo DH
  6. 6 Nolan Arenado 3B
  7. 7 Ildemaro Vargas 1B
  8. 8 Alek Thomas CF
  9. 9 Jorge Barrosa LF
HOME · NYM
  1. 1 Francisco Lindor SS
  2. 2 Bo Bichette 3B
  3. 3 Jorge Polanco DH
  4. 4 Luis Robert CF
  5. 5 Brett Baty RF
  6. 6 Mark Vientos 1B
  7. 7 Marcus Semien 2B
  8. 8 Carson Benge LF
  9. 9 Francisco Alvarez C

Box score

  12345678910 R
AZ 0000300000 3
NYM 1100000101 4

Manager comparison

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

AWAY · AZ
Torey Lovullo
C- Lineup 2.0 R Bunts 2.1 R IBBs 0.6 R
HOME · NYM
Carlos Mendoza
D+ Lineup 2.9 R Bunts 1.4 R IBBs 0.9 R

Recent form

AWAY · AZ
3-7 L2 -15 run diff
LLWLLLLWLW
HOME · NYM
5-4 L1 +2 run diff
LW?WWLWLLW

Season series: 2-0 with AZ listed first across 2 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 · Arizona Diamondbacks
  • Manager lineup cost −0.04 R/G Optimal arrangement projects 3.84 vs actual lineup 3.88
  • Player execution −0.88 R/G Players fell 0.88 short of the lineup's 3.88 projection (scored 3)
  • Game variance −0.84 R/G Total game outcome vs optimal expectation

Perdomo 0-for-4 batting 3rd

HOME · New York Mets
  • Manager lineup cost +0.09 R/G Optimal arrangement projects 3.62 vs actual lineup 3.52
  • Player execution +0.48 R/G Players exceeded the lineup's 3.52 projection by 0.48 (scored 4)
  • Game variance +0.38 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 3.8 – 3.6 — actual was 3 – 4.

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.