ARCHIVE April 21, 2026
April 21, 2026 · NL East

Atlanta Braves vs Washington Nationals

April 21, 2026Nationals ParkClear 62°F · 9 mph, Out To CF
AWAY
Atlanta Braves
16-8
4
vs
HOME
Washington Nationals
11-13
11

Starting pitchers

AWAY · ATL
José Suarez
José Suarez
IP 3
HOME · WSH
Foster Griffin
Foster Griffin
IP 6

Lineups

AWAY · ATL
  1. 1 Ronald Acuña RF
  2. 2 Drake Baldwin DH
  3. 3 Ozzie Albies 2B
  4. 4 Matt Olson 1B
  5. 5 Austin Riley 3B
  6. 6 Mauricio Dubón SS
  7. 7 Michael Harris CF
  8. 8 Jonah Heim C
  9. 9 Eli White LF
HOME · WSH
  1. 1 James Wood RF
  2. 2 Luis García 1B
  3. 3 Jacob Young CF
  4. 4 CJ Abrams SS
  5. 5 Daylen Lile LF
  6. 6 Nasim Nuñez 2B
  7. 7 Jorbit Vivas 3B
  8. 8 José Tena DH
  9. 9 Drew Millas C

Box score

  123456789 R
ATL 011010010 4
WSH 310010330 11

Manager comparison

Both managers grade C+ / C entering this matchup.

AWAY · ATL
Walt Weiss
C+ Lineup 1.7 R Bunts 0.0 R IBBs 0.2 R
HOME · WSH
Blake Butera
C Lineup 1.6 R Bunts 1.5 R IBBs 1.4 R

Recent form

AWAY · ATL
7-3 L1 +18 run diff
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HOME · WSH
6-4 W3 +6 run diff
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Season series: 3-1 with ATL listed first across 4 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 · Atlanta Braves
  • Manager lineup cost +0.00 R/G Optimal arrangement projects 3.20 vs actual lineup 3.19
  • Player execution +0.81 R/G Players exceeded the lineup's 3.19 projection by 0.81 (scored 4)
  • Game variance +0.80 R/G Total game outcome vs optimal expectation

Olson 0-for-4 batting 4th

HOME · Washington Nationals
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 4.86 vs actual lineup 4.82
  • Player execution +6.18 R/G Players exceeded the lineup's 4.82 projection by 6.18 (scored 11)
  • Game variance +6.14 R/G Total game outcome vs optimal expectation

Mead HR from the 8-hole

COUNTERFACTUAL

Optimal lineups projected 3.2 – 4.9 — actual was 4 – 11.

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.