ARCHIVE April 29, 2026
April 29, 2026 · NL East

Washington Nationals vs New York Mets

April 29, 2026Citi FieldCloudy 53°F · 8 mph, Out To LF
AWAY
Washington Nationals
14-17
14
vs
HOME
New York Mets
10-20
2

Starting pitchers

AWAY · WSH
Cade Cavalli
Cade Cavalli
IP 6
HOME · NYM
David Peterson
David Peterson
IP 3.2

Lineups

AWAY · WSH
  1. 1 James Wood DH
  2. 2 Curtis Mead 1B
  3. 3 Brady House 3B
  4. 4 CJ Abrams SS
  5. 5 Jacob Young CF
  6. 6 Daylen Lile LF
  7. 7 Joey Wiemer RF
  8. 8 Nasim Nuñez 2B
  9. 9 Keibert Ruiz C
HOME · NYM
  1. 1 Bo Bichette 3B
  2. 2 Juan Soto DH
  3. 3 MJ Melendez LF
  4. 4 Francisco Alvarez C
  5. 5 Brett Baty 1B
  6. 6 Tyrone Taylor CF
  7. 7 Carson Benge RF
  8. 8 Marcus Semien 2B
  9. 9 Ronny Mauricio SS

Box score

  123456789 R
WSH 200701301 14
NYM 001010000 2

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 +0.06 R/G Optimal arrangement projects 4.86 vs actual lineup 4.79
  • Player execution +9.21 R/G Players exceeded the lineup's 4.79 projection by 9.21 (scored 14)
  • Game variance +9.14 R/G Total game outcome vs optimal expectation

Wiemer 2-for-5 from the 7-hole

HOME · New York Mets
  • Manager lineup cost +0.00 R/G Optimal arrangement projects 3.89 vs actual lineup 3.88
  • Player execution −1.88 R/G Players fell 1.88 short of the lineup's 3.88 projection (scored 2)
  • Game variance −1.89 R/G Total game outcome vs optimal expectation

Alvarez 0-for-4 batting 4th

COUNTERFACTUAL

Optimal lineups projected 4.9 – 3.9 — actual was 14 – 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.