ARCHIVE April 1, 2026
April 1, 2026 · NL West

Detroit Tigers vs Arizona Diamondbacks

April 1, 2026Chase FieldPartly Cloudy 80°F · 11 mph, Varies
AWAY
Detroit Tigers
2-4
0
vs

Starting pitchers

AWAY · DET
Tarik Skubal
Tarik Skubal
IP 7
HOME · AZ
Zac Gallen
Zac Gallen
IP 6

Lineups

AWAY · DET
  1. 1 Colt Keith 1B
  2. 2 Kevin McGonigle 3B
  3. 3 Gleyber Torres 2B
  4. 4 Riley Greene DH
  5. 5 Dillon Dingler C
  6. 6 Kerry Carpenter RF
  7. 7 Matt Vierling LF
  8. 8 Parker Meadows CF
  9. 9 Javier Báez SS
HOME · AZ
  1. 1 Ketel Marte DH
  2. 2 Corbin Carroll RF
  3. 3 Geraldo Perdomo SS
  4. 4 Gabriel Moreno C
  5. 5 Ildemaro Vargas 2B
  6. 6 Nolan Arenado 3B
  7. 7 Jose Fernandez 1B
  8. 8 Tim Tawa LF
  9. 9 Jordan Lawlar CF

Box score

  123456789 R
DET 000000000 0
AZ 100000000 1

Manager comparison

Both managers grade C- / C- entering this matchup.

AWAY · DET
A.J. Hinch
C- Lineup 2.7 R Bunts 0.2 R IBBs 0.1 R
HOME · AZ
Torey Lovullo
C- Lineup 2.0 R Bunts 2.1 R IBBs 0.6 R

Recent form

AWAY · DET
3-7 L4 -5 run diff
LLLLWWLWLL
HOME · AZ
3-7 L2 -15 run diff
LLWLLLLWLW

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 +0.13 R/G Optimal arrangement projects 3.58 vs actual lineup 3.45
  • Player execution −3.45 R/G Players fell 3.45 short of the lineup's 3.45 projection (scored 0)
  • Game variance −3.58 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

HOME · Arizona Diamondbacks
  • Manager lineup cost −0.01 R/G Optimal arrangement projects 3.17 vs actual lineup 3.18
  • Player execution −2.18 R/G Players fell 2.18 short of the lineup's 3.18 projection (scored 1)
  • Game variance −2.17 R/G Total game outcome vs optimal expectation

Marte 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.6 – 3.2 — actual was 0 – 1.

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.