ARCHIVE May 3, 2026
May 3, 2026 · AL Cent

Texas Rangers vs Detroit Tigers

May 3, 2026Comerica ParkPartly Cloudy 60°F · 12 mph, Out To LF
AWAY
Texas Rangers
16-18
1
vs
HOME
Detroit Tigers
18-17
7

Starting pitchers

AWAY · TEX
Jack Leiter
Jack Leiter
IP 6.2
HOME · DET
Brant Hurter
Brant Hurter
IP 3.1

Lineups

AWAY · TEX
  1. 1 Brandon Nimmo DH
  2. 2 Andrew McCutchen RF
  3. 3 Corey Seager SS
  4. 4 Josh Jung 3B
  5. 5 Jake Burger 1B
  6. 6 Evan Carter CF
  7. 7 Ezequiel Duran LF
  8. 8 Josh Smith 2B
  9. 9 Kyle Higashioka C
HOME · DET
  1. 1 Kevin McGonigle SS
  2. 2 Matt Vierling CF
  3. 3 Colt Keith 3B
  4. 4 Riley Greene LF
  5. 5 Spencer Torkelson 1B
  6. 6 Kerry Carpenter DH
  7. 7 Wenceel Pérez RF
  8. 8 Hao-Yu Lee 2B
  9. 9 Jake Rogers C

Box score

  123456789 R
TEX 000000100 1
DET 000021400 7

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 +0.02 R/G Optimal arrangement projects 2.41 vs actual lineup 2.39
  • Player execution −1.39 R/G Players fell 1.39 short of the lineup's 2.39 projection (scored 1)
  • Game variance −1.41 R/G Total game outcome vs optimal expectation

Smith 2-for-3 from the 8-hole

HOME · Detroit Tigers
  • Manager lineup cost +0.12 R/G Optimal arrangement projects 4.94 vs actual lineup 4.82
  • Player execution +2.18 R/G Players exceeded the lineup's 4.82 projection by 2.18 (scored 7)
  • Game variance +2.06 R/G Total game outcome vs optimal expectation

Greene 0-for-3 batting 4th

COUNTERFACTUAL

Optimal lineups projected 2.4 – 4.9 — actual was 1 – 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.