ARCHIVE March 28, 2026
March 28, 2026 · NL Cent

Washington Nationals vs Chicago Cubs

March 28, 2026Wrigley FieldSunny 41°F · 9 mph, Out To CF
vs
HOME
Chicago Cubs
1-1
10

Starting pitchers

AWAY · WSH
Miles Mikolas
Miles Mikolas
IP 5
HOME · CHC
Cade Horton
Cade Horton
IP 6.1

Lineups

AWAY · WSH
  1. 1 James Wood RF
  2. 2 Drew Millas C
  3. 3 Luis García 1B
  4. 4 Daylen Lile LF
  5. 5 Brady House 3B
  6. 6 Jorbit Vivas 2B
  7. 7 Nasim Nuñez SS
  8. 8 José Tena DH
  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 Dansby Swanson SS
  7. 7 Moisés Ballesteros DH
  8. 8 Matt Shaw RF
  9. 9 Miguel Amaya C

Box score

  123456789 R
WSH 000110000 2
CHC 040114000 10

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 −0.02 R/G Optimal arrangement projects 2.78 vs actual lineup 2.80
  • Player execution −0.80 R/G Players fell 0.80 short of the lineup's 2.80 projection (scored 2)
  • Game variance −0.78 R/G Total game outcome vs optimal expectation

Millas 0-for-3 batting 2nd

HOME · Chicago Cubs
  • Manager lineup cost +0.12 R/G Optimal arrangement projects 4.84 vs actual lineup 4.72
  • Player execution +5.28 R/G Players exceeded the lineup's 4.72 projection by 5.28 (scored 10)
  • Game variance +5.16 R/G Total game outcome vs optimal expectation

Amaya HR from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 2.8 – 4.8 — actual was 2 – 10.

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.