ARCHIVE April 4, 2026
April 4, 2026 · AL Cent

Milwaukee Brewers vs Kansas City Royals

April 4, 2026Kauffman StadiumPartly Cloudy 47°F · 15 mph, L To R
AWAY
Milwaukee Brewers
6-1
5
vs
HOME
Kansas City Royals
3-4
2

Starting pitchers

AWAY · MIL
Chad Patrick
Chad Patrick
IP 5
HOME · KC
Luinder Avila
Luinder Avila
IP 3

Lineups

AWAY · MIL
  1. 1 Brice Turang 2B
  2. 2 Luis Rengifo 3B
  3. 3 William Contreras C
  4. 4 Christian Yelich DH
  5. 5 Garrett Mitchell CF
  6. 6 Jake Bauers 1B
  7. 7 Sal Frelick RF
  8. 8 Brandon Lockridge LF
  9. 9 David Hamilton SS
HOME · KC
  1. 1 Maikel Garcia 3B
  2. 2 Bobby Witt Jr. SS
  3. 3 Vinnie Pasquantino 1B
  4. 4 Salvador Perez C
  5. 5 Jac Caglianone RF
  6. 6 Starling Marte DH
  7. 7 Isaac Collins LF
  8. 8 Nick Loftin 2B
  9. 9 Kyle Isbel CF

Box score

  123456789 R
MIL 203000000 5
KC 000000200 2

Manager comparison

Both managers grade B- / C entering this matchup.

AWAY · MIL
Pat Murphy
B- Lineup 0.6 R Bunts 1.4 R IBBs 3.1 R
HOME · KC
Matt Quatraro
C Lineup 1.9 R Bunts 1.1 R IBBs 0.8 R

Recent form

AWAY · MIL
6-3 W2 +33 run diff
WW?LLWWWLW
HOME · KC
6-4 W1 +1 run diff
WLLWWWWWLL

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 · Milwaukee Brewers
  • Manager lineup cost −0.10 R/G Optimal arrangement projects 4.68 vs actual lineup 4.78
  • Player execution +0.22 R/G Players exceeded the lineup's 4.78 projection by 0.22 (scored 5)
  • Game variance +0.32 R/G Total game outcome vs optimal expectation

Turang 0-for-4 batting 1st

HOME · Kansas City Royals
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 3.48 vs actual lineup 3.47
  • Player execution −1.47 R/G Players fell 1.47 short of the lineup's 3.47 projection (scored 2)
  • Game variance −1.48 R/G Total game outcome vs optimal expectation

Garcia 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.7 – 3.5 — actual was 5 – 2.

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.