ARCHIVE April 1, 2026
April 1, 2026 · AL West

New York Yankees vs Seattle Mariners

April 1, 2026T-Mobile ParkRoof Closed 47°F · 0 mph, None
AWAY
New York Yankees
5-1
5
vs
HOME
Seattle Mariners
3-4
3

Starting pitchers

AWAY · NYY
Cam Schlittler
Cam Schlittler
IP 6.1
HOME · SEA
George Kirby
George Kirby
IP 6

Lineups

AWAY · NYY
  1. 1 Trent Grisham CF
  2. 2 Aaron Judge RF
  3. 3 Cody Bellinger LF
  4. 4 Ben Rice DH
  5. 5 Paul Goldschmidt 1B
  6. 6 Jazz Chisholm Jr. 2B
  7. 7 Amed Rosario 3B
  8. 8 Austin Wells C
  9. 9 José Caballero SS
HOME · SEA
  1. 1 Brendan Donovan 3B
  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 SS

Box score

  123456789 R
NYY 100003001 5
SEA 000000021 3

Manager comparison

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

AWAY · NYY
Aaron Boone
C+ Lineup 1.5 R Bunts 0.0 R IBBs 1.1 R
HOME · SEA
Dan Wilson
B- Lineup 1.3 R Bunts 0.2 R IBBs 0.8 R

Recent form

AWAY · NYY
7-3 L1 +26 run diff
LWLWWWWWLW
HOME · SEA
5-5 W2 +2 run diff
WWLWLLLWWL

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 · New York Yankees
  • Manager lineup cost −0.05 R/G Optimal arrangement projects 3.33 vs actual lineup 3.38
  • Player execution +1.62 R/G Players exceeded the lineup's 3.38 projection by 1.62 (scored 5)
  • Game variance +1.67 R/G Total game outcome vs optimal expectation

Grisham 0-for-3 batting 1st

HOME · Seattle Mariners
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 2.52 vs actual lineup 2.48
  • Player execution +0.52 R/G Players exceeded the lineup's 2.48 projection by 0.52 (scored 3)
  • Game variance +0.48 R/G Total game outcome vs optimal expectation

Rodríguez 0-for-4 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 3.3 – 2.5 — 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.