ARCHIVE May 1, 2026
May 1, 2026 · AL Cent

Texas Rangers vs Detroit Tigers

May 1, 2026Comerica ParkPartly Cloudy 48°F · 5 mph, Out To CF
AWAY
Texas Rangers
16-16
5
vs
HOME
Detroit Tigers
16-17
4

Starting pitchers

AWAY · TEX
MacKenzie Gore
MacKenzie Gore
IP 3.2
HOME · DET
Jack Flaherty
Jack Flaherty
IP 3.2

Lineups

AWAY · TEX
  1. 1 Brandon Nimmo RF
  2. 2 Evan Carter CF
  3. 3 Corey Seager SS
  4. 4 Josh Jung 3B
  5. 5 Joc Pederson DH
  6. 6 Jake Burger 1B
  7. 7 Alejandro Osuna LF
  8. 8 Ezequiel Duran 2B
  9. 9 Danny Jansen C
HOME · DET
  1. 1 Gleyber Torres 2B
  2. 2 Kevin McGonigle SS
  3. 3 Jahmai Jones LF
  4. 4 Dillon Dingler C
  5. 5 Riley Greene DH
  6. 6 Matt Vierling CF
  7. 7 Spencer Torkelson 1B
  8. 8 Wenceel Pérez RF
  9. 9 Hao-Yu Lee 3B

Box score

  123456789 R
TEX 103000010 5
DET 000310000 4

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 +0.03 R/G Optimal arrangement projects 4.76 vs actual lineup 4.73
  • Player execution +0.27 R/G Players exceeded the lineup's 4.73 projection by 0.27 (scored 5)
  • Game variance +0.24 R/G Total game outcome vs optimal expectation

Jansen HR from the 9-hole

HOME · Detroit Tigers
  • Manager lineup cost −0.04 R/G Optimal arrangement projects 4.44 vs actual lineup 4.48
  • Player execution −0.48 R/G Players fell 0.48 short of the lineup's 4.48 projection (scored 4)
  • Game variance −0.44 R/G Total game outcome vs optimal expectation

Torres 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.8 – 4.4 — actual was 5 – 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.