ARCHIVE April 25, 2026
April 25, 2026 · AL Cent

Washington Nationals vs Chicago White Sox

April 25, 2026Rate FieldSunny 49°F · 13 mph, Out To RF
AWAY
Washington Nationals
12-16
6
vs
HOME
Chicago White Sox
11-16
3

Starting pitchers

AWAY · WSH
Jake Irvin
Jake Irvin
IP 5.2
HOME · CWS
Noah Schultz
Noah Schultz
IP 6

Lineups

AWAY · WSH
  1. 1 James Wood LF
  2. 2 Curtis Mead 2B
  3. 3 Andrés Chaparro 1B
  4. 4 Brady House 3B
  5. 5 Daylen Lile DH
  6. 6 Jacob Young CF
  7. 7 Joey Wiemer RF
  8. 8 Nasim Nuñez SS
  9. 9 Keibert Ruiz C
HOME · CWS
  1. 1 Andrew Benintendi DH
  2. 2 Munetaka Murakami 1B
  3. 3 Miguel Vargas 3B
  4. 4 Colson Montgomery SS
  5. 5 Everson Pereira RF
  6. 6 Sam Antonacci LF
  7. 7 Chase Meidroth 2B
  8. 8 Tristan Peters CF
  9. 9 Edgar Quero C

Box score

  12345678910 R
WSH 0002000004 6
CWS 0000000201 3

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 · CWS
Will Venable
D- Lineup 3.2 R Bunts 2.2 R IBBs 1.1 R

Recent form

AWAY · WSH
6-4 W3 +6 run diff
WWWLWLLWWL
HOME · CWS
6-4 L3 +9 run diff
LLLWLWWWWW

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 3.18 vs actual lineup 3.14
  • Player execution +2.86 R/G Players exceeded the lineup's 3.14 projection by 2.86 (scored 6)
  • Game variance +2.82 R/G Total game outcome vs optimal expectation

Wood 0-for-4 batting 1st

HOME · Chicago White Sox
  • Manager lineup cost +0.06 R/G Optimal arrangement projects 4.39 vs actual lineup 4.33
  • Player execution −1.33 R/G Players fell 1.33 short of the lineup's 4.33 projection (scored 3)
  • Game variance −1.39 R/G Total game outcome vs optimal expectation

Benintendi 0-for-5 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.2 – 4.4 — actual was 6 – 3.

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.