ARCHIVE March 26, 2026
March 26, 2026 · NL Cent

Chicago White Sox vs Milwaukee Brewers

March 26, 2026American Family FieldRoof Closed 65°F · 0 mph, None
AWAY
Chicago White Sox
0-1
2
vs
HOME
Milwaukee Brewers
1-0
14

Starting pitchers

AWAY · CWS
Sean Newcomb
Sean Newcomb
IP 2.1
HOME · MIL
Jacob Misiorowski
Jacob Misiorowski
IP 5

Lineups

AWAY · CWS
  1. 1 Chase Meidroth 2B
  2. 2 Colson Montgomery SS
  3. 3 Miguel Vargas 3B
  4. 4 Andrew Benintendi DH
  5. 5 Austin Hays LF
  6. 6 Munetaka Murakami 1B
  7. 7 Everson Pereira RF
  8. 8 Edgar Quero C
  9. 9 Luisangel Acuña CF
HOME · MIL
  1. 1 Brice Turang 2B
  2. 2 William Contreras C
  3. 3 Christian Yelich DH
  4. 4 Andrew Vaughn 1B
  5. 5 Jake Bauers LF
  6. 6 Sal Frelick RF
  7. 7 David Hamilton 3B
  8. 8 Garrett Mitchell CF
  9. 9 Joey Ortiz SS

Box score

  123456789 R
CWS 100000001 2
MIL 040223300 14

Manager comparison

Both managers grade D- / B- entering this matchup.

AWAY · CWS
Will Venable
D- Lineup 3.2 R Bunts 2.2 R IBBs 1.1 R
HOME · MIL
Pat Murphy
B- Lineup 0.6 R Bunts 1.4 R IBBs 3.1 R

Recent form

AWAY · CWS
6-4 L3 +9 run diff
LLLWLWWWWW
HOME · MIL
6-3 W2 +33 run diff
WW?LLWWWLW

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 · Chicago White Sox
  • Manager lineup cost +0.13 R/G Optimal arrangement projects 3.24 vs actual lineup 3.11
  • Player execution −1.11 R/G Players fell 1.11 short of the lineup's 3.11 projection (scored 2)
  • Game variance −1.24 R/G Total game outcome vs optimal expectation

Montgomery 0-for-4 batting 2nd

HOME · Milwaukee Brewers
  • Manager lineup cost −0.12 R/G Optimal arrangement projects 3.72 vs actual lineup 3.84
  • Player execution +10.16 R/G Players exceeded the lineup's 3.84 projection by 10.16 (scored 14)
  • Game variance +10.28 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 3.2 – 3.7 — actual was 2 – 14.

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.