ARCHIVE April 3, 2026
April 3, 2026 · AL Cent

St. Louis Cardinals vs Detroit Tigers

April 3, 2026Comerica ParkPartly Cloudy 73°F · 18 mph, Out To LF
AWAY
St. Louis Cardinals
4-3
0
vs
HOME
Detroit Tigers
3-4
4

Starting pitchers

AWAY · STL
Michael McGreevy
Michael McGreevy
IP 4.2
HOME · DET
Framber Valdez
Framber Valdez
IP 6

Lineups

AWAY · STL
  1. 1 Masyn Winn SS
  2. 2 Iván Herrera C
  3. 3 Alec Burleson 1B
  4. 4 Ramón Urías 3B
  5. 5 Jordan Walker RF
  6. 6 Yohel Pozo DH
  7. 7 Thomas Saggese 2B
  8. 8 José Fermín LF
  9. 9 Victor Scott CF
HOME · DET
  1. 1 Kevin McGonigle 3B
  2. 2 Gleyber Torres DH
  3. 3 Kerry Carpenter RF
  4. 4 Riley Greene LF
  5. 5 Dillon Dingler C
  6. 6 Zach McKinstry 2B
  7. 7 Spencer Torkelson 1B
  8. 8 Parker Meadows CF
  9. 9 Javier Báez SS

Box score

  123456789 R
STL 000000000 0
DET 000211000 4

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 +0.02 R/G Optimal arrangement projects 3.53 vs actual lineup 3.50
  • Player execution −3.50 R/G Players fell 3.50 short of the lineup's 3.50 projection (scored 0)
  • Game variance −3.53 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

HOME · Detroit Tigers
  • Manager lineup cost +0.11 R/G Optimal arrangement projects 3.21 vs actual lineup 3.10
  • Player execution +0.90 R/G Players exceeded the lineup's 3.10 projection by 0.90 (scored 4)
  • Game variance +0.79 R/G Total game outcome vs optimal expectation

Báez 2-for-3 from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 3.5 – 3.2 — actual was 0 – 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.