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

Chicago White Sox vs Milwaukee Brewers

March 29, 2026American Family FieldRoof Closed 62°F · 0 mph, None
AWAY
Chicago White Sox
0-3
7
vs
HOME
Milwaukee Brewers
3-0
9

Starting pitchers

AWAY · CWS
Anthony Kay
Anthony Kay
IP 4.2
HOME · MIL
Brandon Sproat
Brandon Sproat
IP 3

Lineups

AWAY · CWS
  1. 1 Chase Meidroth 2B
  2. 2 Munetaka Murakami 1B
  3. 3 Miguel Vargas 3B
  4. 4 Colson Montgomery SS
  5. 5 Austin Hays LF
  6. 6 Andrew Benintendi DH
  7. 7 Everson Pereira RF
  8. 8 Edgar Quero C
  9. 9 Tristan Peters CF
HOME · MIL
  1. 1 Brice Turang 2B
  2. 2 William Contreras DH
  3. 3 Luis Rengifo 3B
  4. 4 Gary Sánchez 1B
  5. 5 Sal Frelick RF
  6. 6 Joey Ortiz SS
  7. 7 Jeferson Quero C
  8. 8 Brandon Lockridge LF
  9. 9 Blake Perkins CF

Box score

  123456789 R
CWS 421000000 7
MIL 200001060 9

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
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HOME · MIL
6-3 W2 +33 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 · Chicago White Sox
  • Manager lineup cost +0.16 R/G Optimal arrangement projects 4.90 vs actual lineup 4.74
  • Player execution +2.26 R/G Players exceeded the lineup's 4.74 projection by 2.26 (scored 7)
  • Game variance +2.10 R/G Total game outcome vs optimal expectation

Pereira HR from the 7-hole

HOME · Milwaukee Brewers
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 4.67 vs actual lineup 4.63
  • Player execution +4.37 R/G Players exceeded the lineup's 4.63 projection by 4.37 (scored 9)
  • Game variance +4.33 R/G Total game outcome vs optimal expectation

Lockridge 2-for-4 from the 8-hole

COUNTERFACTUAL

Optimal lineups projected 4.9 – 4.7 — actual was 7 – 9.

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.