ARCHIVE April 9, 2026
April 9, 2026 · AL Cent

Detroit Tigers vs Minnesota Twins

April 9, 2026Target FieldPartly Cloudy 45°F · 6 mph, Out To RF
AWAY
Detroit Tigers
4-9
1
vs
HOME
Minnesota Twins
7-6
3

Starting pitchers

AWAY · DET
Jack Flaherty
Jack Flaherty
IP 5.2
HOME · MIN
Mick Abel
Mick Abel
IP 6

Lineups

AWAY · DET
  1. 1 Colt Keith 3B
  2. 2 Gleyber Torres DH
  3. 3 Riley Greene LF
  4. 4 Kerry Carpenter RF
  5. 5 Spencer Torkelson 1B
  6. 6 Zach McKinstry 2B
  7. 7 Javier Báez SS
  8. 8 Parker Meadows CF
  9. 9 Jake Rogers C
HOME · MIN
  1. 1 Byron Buxton CF
  2. 2 Trevor Larnach DH
  3. 3 Josh Bell 1B
  4. 4 Matt Wallner RF
  5. 5 Victor Caratini C
  6. 6 Kody Clemens 2B
  7. 7 Royce Lewis 3B
  8. 8 Tristan Gray SS
  9. 9 James Outman LF

Box score

  123456789 R
DET 000000100 1
MIN 000100020 3

Manager comparison

Both managers grade C- / B entering this matchup.

AWAY · DET
A.J. Hinch
C- Lineup 2.7 R Bunts 0.2 R IBBs 0.1 R
HOME · MIN
Derek Shelton
B Lineup 0.8 R Bunts 0.5 R IBBs 0.4 R

Recent form

AWAY · DET
3-7 L4 -5 run diff
LLLLWWLWLL
HOME · MIN
3-7 L3 -21 run diff
LLLWWLLWLL

Season series: 0-2 with DET listed first across 2 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 · Detroit Tigers
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 3.86 vs actual lineup 3.83
  • Player execution −2.83 R/G Players fell 2.83 short of the lineup's 3.83 projection (scored 1)
  • Game variance −2.86 R/G Total game outcome vs optimal expectation

Carpenter 0-for-4 batting 4th

HOME · Minnesota Twins
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 4.80 vs actual lineup 4.75
  • Player execution −1.75 R/G Players fell 1.75 short of the lineup's 4.75 projection (scored 3)
  • Game variance −1.80 R/G Total game outcome vs optimal expectation

Buxton 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.9 – 4.8 — actual was 1 – 3.

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.