ARCHIVE April 5, 2026
April 5, 2026 · AL Cent

St. Louis Cardinals vs Detroit Tigers

April 5, 2026Comerica ParkCloudy 44°F · 15 mph, Out To LF
AWAY
St. Louis Cardinals
5-4
5
vs
HOME
Detroit Tigers
4-5
3

Starting pitchers

AWAY · STL
Kyle Leahy
Kyle Leahy
IP 5
HOME · DET
Keider Montero
Keider Montero
IP 4.1

Lineups

AWAY · STL
  1. 1 JJ Wetherholt 2B
  2. 2 Iván Herrera DH
  3. 3 Alec Burleson 1B
  4. 4 Jordan Walker RF
  5. 5 Nolan Gorman 3B
  6. 6 Thomas Saggese SS
  7. 7 Nathan Church LF
  8. 8 Pedro Pagés C
  9. 9 Victor Scott CF
HOME · DET
  1. 1 Colt Keith DH
  2. 2 Kevin McGonigle 3B
  3. 3 Gleyber Torres 2B
  4. 4 Kerry Carpenter RF
  5. 5 Riley Greene LF
  6. 6 Dillon Dingler C
  7. 7 Parker Meadows CF
  8. 8 Spencer Torkelson 1B
  9. 9 Javier Báez SS

Box score

  123456789 R
STL 000040010 5
DET 002001000 3

Manager comparison

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

AWAY · STL
Oliver Marmol
B- Lineup 1.2 R Bunts 0.7 R IBBs 0.3 R
HOME · DET
A.J. Hinch
C- Lineup 2.7 R Bunts 0.2 R IBBs 0.1 R

Recent form

AWAY · STL
7-2 W1 +13 run diff
WL?WLWWWWW
HOME · DET
3-7 L4 -5 run diff
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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 · St. Louis Cardinals
  • Manager lineup cost +0.00 R/G Optimal arrangement projects 3.77 vs actual lineup 3.77
  • Player execution +1.23 R/G Players exceeded the lineup's 3.77 projection by 1.23 (scored 5)
  • Game variance +1.23 R/G Total game outcome vs optimal expectation

Burleson 0-for-4 batting 3rd

HOME · Detroit Tigers
  • Manager lineup cost +0.20 R/G Optimal arrangement projects 4.96 vs actual lineup 4.76
  • Player execution −1.76 R/G Players fell 1.76 short of the lineup's 4.76 projection (scored 3)
  • Game variance −1.96 R/G Total game outcome vs optimal expectation

McGonigle 0-for-3 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 3.8 – 5.0 — actual was 5 – 3.

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.