ARCHIVE April 1, 2026
April 1, 2026 · NL East

Washington Nationals vs Philadelphia Phillies

April 1, 2026Citizens Bank ParkCloudy 79°F · 10 mph, L To R
vs

Starting pitchers

AWAY · WSH
Cade Cavalli
Cade Cavalli
IP 6
HOME · PHI
Cristopher Sánchez
Cristopher Sánchez
IP 5.1

Lineups

AWAY · WSH
  1. 1 James Wood LF
  2. 2 Curtis Mead 1B
  3. 3 Brady House 3B
  4. 4 Daylen Lile DH
  5. 5 Joey Wiemer RF
  6. 6 CJ Abrams SS
  7. 7 Nasim Nuñez 2B
  8. 8 Jacob Young CF
  9. 9 Drew Millas C
HOME · PHI
  1. 1 Trea Turner SS
  2. 2 Kyle Schwarber DH
  3. 3 Bryce Harper 1B
  4. 4 Alec Bohm 3B
  5. 5 Bryson Stott 2B
  6. 6 Adolis García RF
  7. 7 Brandon Marsh LF
  8. 8 J.T. Realmuto C
  9. 9 Justin Crawford CF

Box score

  12345678910 R
WSH 0100013000 5
PHI 1000001121 6

Manager comparison

Both managers grade C / C- entering this matchup.

AWAY · WSH
Blake Butera
C Lineup 1.6 R Bunts 1.5 R IBBs 1.4 R
HOME · PHI
Don Mattingly
C- Lineup 2.2 R Bunts 0.4 R IBBs 0.7 R Interim

Recent form

AWAY · WSH
6-4 W3 +6 run diff
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HOME · PHI
7-3 L2 +3 run diff
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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 +0.02 R/G Optimal arrangement projects 2.78 vs actual lineup 2.76
  • Player execution +2.24 R/G Players exceeded the lineup's 2.76 projection by 2.24 (scored 5)
  • Game variance +2.22 R/G Total game outcome vs optimal expectation

Wood 0-for-5 batting 1st

HOME · Philadelphia Phillies
  • Manager lineup cost +0.20 R/G Optimal arrangement projects 3.93 vs actual lineup 3.74
  • Player execution +2.26 R/G Players exceeded the lineup's 3.74 projection by 2.26 (scored 6)
  • Game variance +2.07 R/G Total game outcome vs optimal expectation

Realmuto HR from the 8-hole

COUNTERFACTUAL

Optimal lineups projected 2.8 – 3.9 — actual was 5 – 6.

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.