ARCHIVE April 6, 2026
April 6, 2026 · AL Cent

Detroit Tigers vs Minnesota Twins

April 6, 2026Target FieldClear 37°F · 6 mph, R To L
AWAY
Detroit Tigers
4-6
3
vs
HOME
Minnesota Twins
4-6
7

Starting pitchers

AWAY · DET
Casey Mize
Casey Mize
IP 4.1
HOME · MIN
Joe Ryan
Joe Ryan
IP 5

Lineups

AWAY · DET
  1. 1 Kevin McGonigle SS
  2. 2 Gleyber Torres 2B
  3. 3 Colt Keith 3B
  4. 4 Riley Greene DH
  5. 5 Spencer Torkelson 1B
  6. 6 Zach McKinstry RF
  7. 7 Matt Vierling LF
  8. 8 Parker Meadows CF
  9. 9 Jake Rogers C
HOME · MIN
  1. 1 Byron Buxton DH
  2. 2 Trevor Larnach LF
  3. 3 Luke Keaschall 2B
  4. 4 Josh Bell 1B
  5. 5 Victor Caratini C
  6. 6 Matt Wallner RF
  7. 7 Royce Lewis 3B
  8. 8 James Outman CF
  9. 9 Brooks Lee SS

Box score

  123456789 R
DET 000300000 3
MIN 003200020 7

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 +0.08 R/G Optimal arrangement projects 3.90 vs actual lineup 3.81
  • Player execution −0.81 R/G Players fell 0.81 short of the lineup's 3.81 projection (scored 3)
  • Game variance −0.90 R/G Total game outcome vs optimal expectation

Greene 0-for-3 batting 4th

HOME · Minnesota Twins
  • Manager lineup cost +0.02 R/G Optimal arrangement projects 3.15 vs actual lineup 3.13
  • Player execution +3.87 R/G Players exceeded the lineup's 3.13 projection by 3.87 (scored 7)
  • Game variance +3.85 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 3.9 – 3.1 — actual was 3 – 7.

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.