ARCHIVE April 25, 2026
April 25, 2026 · NL Cent

Seattle Mariners vs St. Louis Cardinals

April 25, 2026Busch StadiumSunny 73°F · 6 mph, In From LF
AWAY
Seattle Mariners
13-15
11
vs
HOME
St. Louis Cardinals
14-12
9

Starting pitchers

AWAY · SEA
Bryan Woo
Bryan Woo
IP 3
HOME · STL
Matthew Liberatore
Matthew Liberatore
IP 3.1

Lineups

AWAY · SEA
  1. 1 Rob Refsnyder RF
  2. 2 Cal Raleigh DH
  3. 3 Julio Rodríguez CF
  4. 4 Josh Naylor 1B
  5. 5 Randy Arozarena LF
  6. 6 J.P. Crawford SS
  7. 7 Mitch Garver C
  8. 8 Cole Young 2B
  9. 9 Will Wilson 3B
HOME · 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 Masyn Winn SS
  7. 7 Nathan Church LF
  8. 8 Pedro Pagés C
  9. 9 Victor Scott II CF

Box score

  123456789 R
SEA 220111022 11
STL 214000200 9

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 +0.10 R/G Optimal arrangement projects 4.52 vs actual lineup 4.42
  • Player execution +6.58 R/G Players exceeded the lineup's 4.42 projection by 6.58 (scored 11)
  • Game variance +6.48 R/G Total game outcome vs optimal expectation

Young HR from the 8-hole

HOME · St. Louis Cardinals
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 3.81 vs actual lineup 3.83
  • Player execution +5.17 R/G Players exceeded the lineup's 3.83 projection by 5.17 (scored 9)
  • Game variance +5.19 R/G Total game outcome vs optimal expectation

Church HR from the 7-hole

COUNTERFACTUAL

Optimal lineups projected 4.5 – 3.8 — actual was 11 – 9.

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.