ARCHIVE April 5, 2026
April 5, 2026 · AL West

Seattle Mariners vs Los Angeles Angels

April 5, 2026Angel StadiumSunny 83°F · 2 mph, Calm
AWAY
Seattle Mariners
4-6
7
vs
HOME
Los Angeles Angels
5-5
8

Starting pitchers

AWAY · SEA
Luis Castillo
Luis Castillo
IP 3.2
HOME · LAA
George Klassen
George Klassen
IP 2.2

Lineups

AWAY · SEA
  1. 1 Luke Raley 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 Cole Young 2B
  8. 8 Mitch Garver C
  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 Jeimer Candelario 3B
  6. 6 Jo Adell RF
  7. 7 Josh Lowe LF
  8. 8 Logan O'Hoppe C
  9. 9 Adam Frazier 2B

Box score

  1234567891011 R
SEA 02003000110 7
LAA 10122000011 8

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 +0.02 R/G Optimal arrangement projects 4.88 vs actual lineup 4.85
  • Player execution +2.15 R/G Players exceeded the lineup's 4.85 projection by 2.15 (scored 7)
  • Game variance +2.12 R/G Total game outcome vs optimal expectation

Young HR from the 7-hole

HOME · Los Angeles Angels
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 4.69 vs actual lineup 4.64
  • Player execution +3.36 R/G Players exceeded the lineup's 4.64 projection by 3.36 (scored 8)
  • Game variance +3.31 R/G Total game outcome vs optimal expectation

Frazier 3-for-4 from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 4.9 – 4.7 — actual was 7 – 8.

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.