ARCHIVE March 29, 2026
March 29, 2026 · NL Cent

Washington Nationals vs Chicago Cubs

March 29, 2026Wrigley FieldCloudy 59°F · 4 mph, Out To CF
vs
HOME
Chicago Cubs
1-2
3

Starting pitchers

AWAY · WSH
Jake Irvin
Jake Irvin
IP 5
HOME · CHC
Shota Imanaga
Shota Imanaga
IP 5

Lineups

AWAY · WSH
  1. 1 James Wood DH
  2. 2 Andrés Chaparro 1B
  3. 3 Brady House 3B
  4. 4 Daylen Lile LF
  5. 5 Joey Wiemer RF
  6. 6 CJ Abrams SS
  7. 7 Nasim Nuñez 2B
  8. 8 Keibert Ruiz C
  9. 9 Jacob Young CF
HOME · CHC
  1. 1 Michael Busch 1B
  2. 2 Alex Bregman 3B
  3. 3 Ian Happ LF
  4. 4 Pete Crow-Armstrong CF
  5. 5 Nico Hoerner 2B
  6. 6 Carson Kelly C
  7. 7 Moisés Ballesteros DH
  8. 8 Dansby Swanson SS
  9. 9 Michael Conforto RF

Box score

  123456789 R
WSH 300001020 6
CHC 000200010 3

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 · CHC
Craig Counsell
C Lineup 1.7 R Bunts 0.4 R IBBs 0.3 R

Recent form

AWAY · WSH
6-4 W3 +6 run diff
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HOME · CHC
10-0 W10 +27 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 +0.06 R/G Optimal arrangement projects 2.78 vs actual lineup 2.72
  • Player execution +3.28 R/G Players exceeded the lineup's 2.72 projection by 3.28 (scored 6)
  • Game variance +3.22 R/G Total game outcome vs optimal expectation

Ruiz HR from the 8-hole

HOME · Chicago Cubs
  • Manager lineup cost +0.07 R/G Optimal arrangement projects 4.46 vs actual lineup 4.39
  • Player execution −1.39 R/G Players fell 1.39 short of the lineup's 4.39 projection (scored 3)
  • Game variance −1.46 R/G Total game outcome vs optimal expectation

Busch 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 2.8 – 4.5 — 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.