ARCHIVE April 5, 2026
April 5, 2026 · AL Cent

Milwaukee Brewers vs Kansas City Royals

April 5, 2026Kauffman StadiumSunny 56°F · 10 mph, L To R
AWAY
Milwaukee Brewers
7-2
8
vs
HOME
Kansas City Royals
4-5
5

Starting pitchers

AWAY · MIL
Kyle Harrison
Kyle Harrison
IP 5.1
HOME · KC
Kris Bubic
Kris Bubic
IP 5

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 Gary Sánchez 1B
  6. 6 Luis Matos RF
  7. 7 Brandon Lockridge CF
  8. 8 Blake Perkins LF
  9. 9 Joey Ortiz 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 Lane Thomas CF
  6. 6 Jac Caglianone DH
  7. 7 Starling Marte RF
  8. 8 Jonathan India 2B
  9. 9 Nick Loftin LF

Box score

  123456789 R
MIL 300100202 8
KC 002000300 5

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 −0.08 R/G Optimal arrangement projects 3.71 vs actual lineup 3.79
  • Player execution +4.21 R/G Players exceeded the lineup's 3.79 projection by 4.21 (scored 8)
  • Game variance +4.29 R/G Total game outcome vs optimal expectation

Turang 0-for-3 batting 1st

HOME · Kansas City Royals
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 2.72 vs actual lineup 2.67
  • Player execution +2.33 R/G Players exceeded the lineup's 2.67 projection by 2.33 (scored 5)
  • Game variance +2.28 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 3.7 – 2.7 — actual was 8 – 5.

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.