ARCHIVE April 28, 2026
April 28, 2026 · NL East

Washington Nationals vs New York Mets

April 28, 2026Citi FieldCloudy 57°F · 7 mph, Out To LF
AWAY
Washington Nationals
13-17
0
vs
HOME
New York Mets
10-19
8

Starting pitchers

AWAY · WSH
Zack Littell
Zack Littell
IP 3.2
HOME · NYM
Clay Holmes
Clay Holmes
IP 6

Lineups

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

Box score

  123456789 R
WSH 000000000 0
NYM 100700000 8

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 +0.04 R/G Optimal arrangement projects 2.43 vs actual lineup 2.40
  • Player execution −2.40 R/G Players fell 2.40 short of the lineup's 2.40 projection (scored 0)
  • Game variance −2.43 R/G Total game outcome vs optimal expectation

Wood 0-for-3 batting 1st

HOME · New York Mets
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 4.96 vs actual lineup 4.93
  • Player execution +3.07 R/G Players exceeded the lineup's 4.93 projection by 3.07 (scored 8)
  • Game variance +3.04 R/G Total game outcome vs optimal expectation

Alvarez 0-for-4 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 2.4 – 5.0 — actual was 0 – 8.

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.