ARCHIVE April 4, 2026
April 4, 2026 · AL Cent

St. Louis Cardinals vs Detroit Tigers

April 4, 2026Comerica ParkPartly Cloudy 56°F · 15 mph, In From RF
AWAY
St. Louis Cardinals
4-4
6
vs
HOME
Detroit Tigers
4-4
11

Starting pitchers

AWAY · STL
Dustin May
Dustin May
IP 3.1
HOME · DET
Jack Flaherty
Jack Flaherty
IP 4

Lineups

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

Box score

  123456789 R
STL 001050000 6
DET 301310120 11

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
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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 −0.01 R/G Optimal arrangement projects 4.81 vs actual lineup 4.82
  • Player execution +1.18 R/G Players exceeded the lineup's 4.82 projection by 1.18 (scored 6)
  • Game variance +1.19 R/G Total game outcome vs optimal expectation

Gorman 0-for-4 batting 4th

HOME · Detroit Tigers
  • Manager lineup cost +0.11 R/G Optimal arrangement projects 4.95 vs actual lineup 4.83
  • Player execution +6.17 R/G Players exceeded the lineup's 4.83 projection by 6.17 (scored 11)
  • Game variance +6.05 R/G Total game outcome vs optimal expectation

McKinstry HR from the 7-hole

COUNTERFACTUAL

Optimal lineups projected 4.8 – 5.0 — actual was 6 – 11.

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.