ARCHIVE March 30, 2026
March 30, 2026 · AL West

New York Yankees vs Seattle Mariners

March 30, 2026T-Mobile ParkClear 48°F · 12 mph, L To R
AWAY
New York Yankees
3-1
1
vs
HOME
Seattle Mariners
3-2
2

Starting pitchers

AWAY · NYY
Ryan Weathers
Ryan Weathers
IP 4.1
HOME · SEA
Luis Castillo
Luis Castillo
IP 6

Lineups

AWAY · NYY
  1. 1 Trent Grisham CF
  2. 2 Aaron Judge RF
  3. 3 Cody Bellinger LF
  4. 4 Ben Rice 1B
  5. 5 Giancarlo Stanton DH
  6. 6 Jazz Chisholm Jr. 2B
  7. 7 Ryan McMahon 3B
  8. 8 Austin Wells C
  9. 9 José Caballero SS
HOME · SEA
  1. 1 Brendan Donovan 3B
  2. 2 Rob Refsnyder DH
  3. 3 Julio Rodríguez CF
  4. 4 Josh Naylor 1B
  5. 5 Randy Arozarena LF
  6. 6 Mitch Garver C
  7. 7 Victor Robles RF
  8. 8 Leo Rivas SS
  9. 9 Cole Young 2B

Box score

  123456789 R
NYY 000000100 1
SEA 010000001 2

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 +0.01 R/G Optimal arrangement projects 4.99 vs actual lineup 4.97
  • Player execution −3.97 R/G Players fell 3.97 short of the lineup's 4.97 projection (scored 1)
  • Game variance −3.99 R/G Total game outcome vs optimal expectation

Grisham 0-for-4 batting 1st

HOME · Seattle Mariners
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 3.60 vs actual lineup 3.57
  • Player execution −1.57 R/G Players fell 1.57 short of the lineup's 3.57 projection (scored 2)
  • Game variance −1.60 R/G Total game outcome vs optimal expectation

Rodríguez 0-for-4 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 5.0 – 3.6 — actual was 1 – 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.