ARCHIVE May 2, 2026
May 2, 2026 · AL Cent

Texas Rangers vs Detroit Tigers

May 2, 2026Comerica ParkPartly Cloudy 48°F · 8 mph, Out To LF
AWAY
Texas Rangers
16-17
1
vs
HOME
Detroit Tigers
17-17
5

Starting pitchers

AWAY · TEX
Cal Quantrill
Cal Quantrill
IP 3
HOME · DET
Keider Montero
Keider Montero
IP 6.2

Lineups

AWAY · TEX
  1. 1 Evan Carter CF
  2. 2 Corey Seager SS
  3. 3 Josh Jung 3B
  4. 4 Joc Pederson DH
  5. 5 Jake Burger 1B
  6. 6 Alejandro Osuna LF
  7. 7 Ezequiel Duran RF
  8. 8 Josh Smith 2B
  9. 9 Danny Jansen C
HOME · DET
  1. 1 Kevin McGonigle SS
  2. 2 Gleyber Torres 2B
  3. 3 Colt Keith 3B
  4. 4 Riley Greene LF
  5. 5 Dillon Dingler C
  6. 6 Kerry Carpenter RF
  7. 7 Spencer Torkelson 1B
  8. 8 Wenceel Pérez CF
  9. 9 Jace Jung DH

Box score

  123456789 R
TEX 000100000 1
DET 320000000 5

Manager comparison

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

AWAY · TEX
Skip Schumaker
B- Lineup 1.0 R Bunts 0.3 R IBBs 0.9 R
HOME · DET
A.J. Hinch
C- Lineup 2.7 R Bunts 0.2 R IBBs 0.1 R

Recent form

AWAY · TEX
3-7 L2 -20 run diff
LLWLLLWWLL
HOME · DET
3-7 L4 -5 run diff
LLLLWWLWLL

Season series: 1-2 with TEX 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 · Texas Rangers
  • Manager lineup cost −0.04 R/G Optimal arrangement projects 3.45 vs actual lineup 3.49
  • Player execution −2.49 R/G Players fell 2.49 short of the lineup's 3.49 projection (scored 1)
  • Game variance −2.45 R/G Total game outcome vs optimal expectation

Carter 0-for-4 batting 1st

HOME · Detroit Tigers
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 4.10 vs actual lineup 4.14
  • Player execution +0.86 R/G Players exceeded the lineup's 4.14 projection by 0.86 (scored 5)
  • Game variance +0.90 R/G Total game outcome vs optimal expectation

Pérez 2-for-3 from the 8-hole

COUNTERFACTUAL

Optimal lineups projected 3.5 – 4.1 — actual was 1 – 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.