ARCHIVE April 9, 2026
April 9, 2026 · NL East

Arizona Diamondbacks vs New York Mets

April 9, 2026Citi FieldClear 45°F · 9 mph, Out To LF
vs
HOME
New York Mets
7-6
1

Starting pitchers

AWAY · AZ
Eduardo Rodriguez
Eduardo Rodriguez
IP 6
HOME · NYM
Nolan McLean
Nolan McLean
IP 6.1

Lineups

AWAY · AZ
  1. 1 Ketel Marte 2B
  2. 2 Ildemaro Vargas 1B
  3. 3 Geraldo Perdomo SS
  4. 4 Adrian Del Castillo DH
  5. 5 Jose Fernandez 3B
  6. 6 James McCann C
  7. 7 Alek Thomas CF
  8. 8 Tim Tawa LF
  9. 9 Jorge Barrosa RF
HOME · NYM
  1. 1 Francisco Lindor SS
  2. 2 Bo Bichette 3B
  3. 3 Luis Robert Jr. CF
  4. 4 Mark Vientos 1B
  5. 5 Marcus Semien 2B
  6. 6 Francisco Alvarez DH
  7. 7 Brett Baty RF
  8. 8 Luis Torrens C
  9. 9 Tyrone Taylor LF

Box score

  123456789 R
AZ 000000430 7
NYM 100000000 1

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 3.11 vs actual lineup 3.15
  • Player execution +3.85 R/G Players exceeded the lineup's 3.15 projection by 3.85 (scored 7)
  • Game variance +3.89 R/G Total game outcome vs optimal expectation

Marte 0-for-5 batting 1st

HOME · New York Mets
  • Manager lineup cost +0.09 R/G Optimal arrangement projects 3.57 vs actual lineup 3.48
  • Player execution −2.48 R/G Players fell 2.48 short of the lineup's 3.48 projection (scored 1)
  • Game variance −2.57 R/G Total game outcome vs optimal expectation

Vientos 0-for-4 batting 4th

COUNTERFACTUAL

Optimal lineups projected 3.1 – 3.6 — actual was 7 – 1.

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.