ARCHIVE April 22, 2026
April 22, 2026 · AL Cent

Milwaukee Brewers vs Detroit Tigers

April 22, 2026Comerica ParkClear 73°F · 7 mph, In From LF
AWAY
Milwaukee Brewers
13-10
2
vs
HOME
Detroit Tigers
13-12
5

Starting pitchers

AWAY · MIL
Chad Patrick
Chad Patrick
IP 4
HOME · DET
Casey Mize
Casey Mize
IP 6

Lineups

AWAY · MIL
  1. 1 Brice Turang 2B
  2. 2 William Contreras C
  3. 3 Jake Bauers 1B
  4. 4 Gary Sánchez DH
  5. 5 Garrett Mitchell CF
  6. 6 Brandon Lockridge LF
  7. 7 Sal Frelick RF
  8. 8 David Hamilton 3B
  9. 9 Joey Ortiz SS
HOME · DET
  1. 1 Kevin McGonigle 3B
  2. 2 Gleyber Torres 2B
  3. 3 Jahmai Jones DH
  4. 4 Riley Greene LF
  5. 5 Spencer Torkelson 1B
  6. 6 Wenceel Pérez CF
  7. 7 Kerry Carpenter RF
  8. 8 Javier Báez SS
  9. 9 Jake Rogers C

Box score

  123456789 R
MIL 001000010 2
DET 000220010 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 · DET
A.J. Hinch
C- Lineup 2.7 R Bunts 0.2 R IBBs 0.1 R

Recent form

AWAY · MIL
6-3 W2 +33 run diff
WW?LLWWWLW
HOME · DET
3-7 L4 -5 run diff
LLLLWWLWLL

Season series: 1-2 with MIL listed first across 3 prior meetings.

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 +0.00 R/G Optimal arrangement projects 3.10 vs actual lineup 3.10
  • Player execution −1.10 R/G Players fell 1.10 short of the lineup's 3.10 projection (scored 2)
  • Game variance −1.10 R/G Total game outcome vs optimal expectation

Turang 0-for-3 batting 1st

HOME · Detroit Tigers
  • Manager lineup cost +0.08 R/G Optimal arrangement projects 3.22 vs actual lineup 3.14
  • Player execution +1.86 R/G Players exceeded the lineup's 3.14 projection by 1.86 (scored 5)
  • Game variance +1.78 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 3.1 – 3.2 — actual was 2 – 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.