ARCHIVE April 7, 2026
April 7, 2026 · AL Cent

Detroit Tigers vs Minnesota Twins

April 7, 2026Target FieldPartly Cloudy 44°F · 11 mph, R To L
AWAY
Detroit Tigers
4-7
2
vs
HOME
Minnesota Twins
5-6
4

Starting pitchers

AWAY · DET
Tarik Skubal
Tarik Skubal
IP 4.2
HOME · MIN
Taj Bradley
Taj Bradley
IP 6.1

Lineups

AWAY · DET
  1. 1 Colt Keith DH
  2. 2 Kevin McGonigle 3B
  3. 3 Gleyber Torres 2B
  4. 4 Riley Greene LF
  5. 5 Dillon Dingler C
  6. 6 Zach McKinstry RF
  7. 7 Spencer Torkelson 1B
  8. 8 Parker Meadows CF
  9. 9 Javier Báez SS
HOME · MIN
  1. 1 Byron Buxton CF
  2. 2 Austin Martin LF
  3. 3 Luke Keaschall 2B
  4. 4 Ryan Jeffers C
  5. 5 Victor Caratini 1B
  6. 6 Josh Bell DH
  7. 7 Matt Wallner RF
  8. 8 Royce Lewis 3B
  9. 9 Brooks Lee SS

Box score

  123456789 R
DET 000000101 2
MIN 000040000 4

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 +0.11 R/G Optimal arrangement projects 3.21 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 −1.21 R/G Total game outcome vs optimal expectation

Greene 0-for-4 batting 4th

HOME · Minnesota Twins
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 3.16 vs actual lineup 3.15
  • Player execution +0.85 R/G Players exceeded the lineup's 3.15 projection by 0.85 (scored 4)
  • Game variance +0.84 R/G Total game outcome vs optimal expectation

Martin 0-for-3 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 3.2 – 3.2 — actual was 2 – 4.

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.