ARCHIVE April 24, 2026
April 24, 2026 · NL Cent

Seattle Mariners vs St. Louis Cardinals

April 24, 2026Busch StadiumPartly Cloudy 68°F · 2 mph, In From RF
AWAY
Seattle Mariners
12-15
3
vs
HOME
St. Louis Cardinals
14-11
2

Starting pitchers

AWAY · SEA
George Kirby
George Kirby
IP 6
HOME · STL
Andre Pallante
Andre Pallante
IP 5.1

Lineups

AWAY · SEA
  1. 1 J.P. Crawford SS
  2. 2 Cal Raleigh C
  3. 3 Julio Rodríguez CF
  4. 4 Josh Naylor 1B
  5. 5 Randy Arozarena LF
  6. 6 Luke Raley RF
  7. 7 Dominic Canzone DH
  8. 8 Cole Young 2B
  9. 9 Leo Rivas 3B
HOME · STL
  1. 1 JJ Wetherholt 2B
  2. 2 Iván Herrera C
  3. 3 Alec Burleson 1B
  4. 4 Jordan Walker RF
  5. 5 Nolan Gorman DH
  6. 6 Masyn Winn SS
  7. 7 Nathan Church CF
  8. 8 Ramón Urías 3B
  9. 9 José Fermín LF

Box score

  123456789 R
SEA 010101000 3
STL 000200000 2

Manager comparison

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

AWAY · SEA
Dan Wilson
B- Lineup 1.3 R Bunts 0.2 R IBBs 0.8 R
HOME · STL
Oliver Marmol
B- Lineup 1.2 R Bunts 0.7 R IBBs 0.3 R

Recent form

AWAY · SEA
5-5 W2 +2 run diff
WWLWLLLWWL
HOME · STL
7-2 W1 +13 run diff
WL?WLWWWWW

Season series: 3-0 with SEA 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 · Seattle Mariners
  • Manager lineup cost +0.02 R/G Optimal arrangement projects 3.92 vs actual lineup 3.90
  • Player execution −0.90 R/G Players fell 0.90 short of the lineup's 3.90 projection (scored 3)
  • Game variance −0.92 R/G Total game outcome vs optimal expectation

Raleigh 0-for-3 batting 2nd

HOME · St. Louis Cardinals
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 3.20 vs actual lineup 3.21
  • Player execution −1.21 R/G Players fell 1.21 short of the lineup's 3.21 projection (scored 2)
  • Game variance −1.20 R/G Total game outcome vs optimal expectation

Burleson 0-for-3 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 3.9 – 3.2 — actual was 3 – 2.

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.