ARCHIVE April 8, 2026
April 8, 2026 · NL East

Arizona Diamondbacks vs New York Mets

April 8, 2026Citi FieldSunny 48°F · 6 mph, Out To LF
vs
HOME
New York Mets
7-5
2

Starting pitchers

AWAY · AZ
Ryne Nelson
Ryne Nelson
IP 5.2
HOME · NYM
David Peterson
David Peterson
IP 5

Lineups

AWAY · AZ
  1. 1 Ketel Marte DH
  2. 2 Corbin Carroll RF
  3. 3 Geraldo Perdomo SS
  4. 4 Gabriel Moreno C
  5. 5 Nolan Arenado 3B
  6. 6 Ildemaro Vargas 2B
  7. 7 Jose Fernandez 1B
  8. 8 Tim Tawa LF
  9. 9 Jorge Barrosa CF
HOME · NYM
  1. 1 Francisco Lindor SS
  2. 2 Bo Bichette 3B
  3. 3 Jorge Polanco DH
  4. 4 Luis Robert Jr. 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

  123456789 R
AZ 140000020 7
NYM 000001010 2

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 4.85 vs actual lineup 4.81
  • Player execution +2.19 R/G Players exceeded the lineup's 4.81 projection by 2.19 (scored 7)
  • Game variance +2.15 R/G Total game outcome vs optimal expectation

Moreno 0-for-4 batting 4th

HOME · New York Mets
  • Manager lineup cost +0.15 R/G Optimal arrangement projects 4.91 vs actual lineup 4.76
  • Player execution −2.76 R/G Players fell 2.76 short of the lineup's 4.76 projection (scored 2)
  • Game variance −2.91 R/G Total game outcome vs optimal expectation

Lindor 0-for-5 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.8 – 4.9 — actual was 7 – 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.

Read the full methodology.