ARCHIVE April 30, 2026
April 30, 2026 · NL East

Washington Nationals vs New York Mets

April 30, 2026Citi FieldCloudy 54°F · 4 mph, Out To RF
AWAY
Washington Nationals
15-17
5
vs
HOME
New York Mets
10-21
4

Starting pitchers

AWAY · WSH
Miles Mikolas
Miles Mikolas
IP 4
HOME · NYM
Freddy Peralta
Freddy Peralta
IP 6

Lineups

AWAY · WSH
  1. 1 James Wood RF
  2. 2 Luis García 1B
  3. 3 Daylen Lile LF
  4. 4 CJ Abrams SS
  5. 5 José Tena DH
  6. 6 Jorbit Vivas 3B
  7. 7 Nasim Nuñez 2B
  8. 8 Drew Millas C
  9. 9 Jacob Young CF
HOME · NYM
  1. 1 Bo Bichette 3B
  2. 2 Juan Soto DH
  3. 3 MJ Melendez LF
  4. 4 Mark Vientos 1B
  5. 5 Brett Baty RF
  6. 6 Marcus Semien 2B
  7. 7 Carson Benge CF
  8. 8 Luis Torrens C
  9. 9 Ronny Mauricio SS

Box score

  123456789 R
WSH 021000020 5
NYM 003001000 4

Manager comparison

Both managers grade C / D+ entering this matchup.

AWAY · WSH
Blake Butera
C Lineup 1.6 R Bunts 1.5 R IBBs 1.4 R
HOME · NYM
Carlos Mendoza
D+ Lineup 2.9 R Bunts 1.4 R IBBs 0.9 R

Recent form

AWAY · WSH
6-4 W3 +6 run diff
WWWLWLLWWL
HOME · NYM
5-4 L1 +2 run diff
LW?WWLWLLW

Season series: 2-1 with WSH 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 · Washington Nationals
  • Manager lineup cost +0.07 R/G Optimal arrangement projects 3.85 vs actual lineup 3.78
  • Player execution +1.22 R/G Players exceeded the lineup's 3.78 projection by 1.22 (scored 5)
  • Game variance +1.15 R/G Total game outcome vs optimal expectation

Wood 0-for-3 batting 1st

HOME · New York Mets
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 4.92 vs actual lineup 4.91
  • Player execution −0.91 R/G Players fell 0.91 short of the lineup's 4.91 projection (scored 4)
  • Game variance −0.92 R/G Total game outcome vs optimal expectation

Bichette 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.9 – 4.9 — actual was 5 – 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.