ARCHIVE April 4, 2026
April 4, 2026 · AL West

Seattle Mariners vs Los Angeles Angels

April 4, 2026Angel StadiumPartly Cloudy 82°F · 8 mph, Out To LF
AWAY
Seattle Mariners
4-5
0
vs
HOME
Los Angeles Angels
4-5
1

Starting pitchers

AWAY · SEA
Emerson Hancock
Emerson Hancock
IP 6.2
HOME · LAA
Jack Kochanowicz
Jack Kochanowicz
IP 5.2

Lineups

AWAY · SEA
  1. 1 Luke Raley RF
  2. 2 Cal Raleigh C
  3. 3 Julio Rodríguez CF
  4. 4 Josh Naylor 1B
  5. 5 Randy Arozarena LF
  6. 6 Dominic Canzone DH
  7. 7 J.P. Crawford SS
  8. 8 Cole Young 2B
  9. 9 Leo Rivas 3B
HOME · LAA
  1. 1 Zach Neto SS
  2. 2 Mike Trout CF
  3. 3 Nolan Schanuel 1B
  4. 4 Jorge Soler DH
  5. 5 Yoán Moncada 3B
  6. 6 Jo Adell RF
  7. 7 Josh Lowe LF
  8. 8 Logan O'Hoppe C
  9. 9 Oswald Peraza 2B

Box score

  123456789 R
SEA 000000000 0
LAA 100000000 1

Manager comparison

Both managers grade B- / C entering this matchup.

AWAY · SEA
Dan Wilson
B- Lineup 1.3 R Bunts 0.2 R IBBs 0.8 R
HOME · LAA
Kurt Suzuki
C Lineup 1.4 R Bunts 2.0 R IBBs 2.1 R

Recent form

AWAY · SEA
5-5 W2 +2 run diff
WWLWLLLWWL
HOME · LAA
3-7 L1 -10 run diff
LWWLLWLLLL

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 +0.03 R/G Optimal arrangement projects 3.60 vs actual lineup 3.57
  • Player execution −3.57 R/G Players fell 3.57 short of the lineup's 3.57 projection (scored 0)
  • Game variance −3.60 R/G Total game outcome vs optimal expectation

Raley 0-for-4 batting 1st

HOME · Los Angeles Angels
  • Manager lineup cost −0.04 R/G Optimal arrangement projects 3.09 vs actual lineup 3.13
  • Player execution −2.13 R/G Players fell 2.13 short of the lineup's 3.13 projection (scored 1)
  • Game variance −2.09 R/G Total game outcome vs optimal expectation

Trout 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 3.6 – 3.1 — actual was 0 – 1.

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.