ARCHIVE April 15, 2026
April 15, 2026 · NL West

Seattle Mariners vs San Diego Padres

April 15, 2026Petco ParkClear 64°F · 9 mph, L To R
AWAY
Seattle Mariners
8-11
6
vs
HOME
San Diego Padres
12-6
7

Starting pitchers

AWAY · SEA
Emerson Hancock
Emerson Hancock
IP 6
HOME · SD
Randy Vásquez
Randy Vásquez
IP 4

Lineups

AWAY · 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
HOME · SD
  1. 1 Ramón Laureano LF
  2. 2 Jackson Merrill CF
  3. 3 Xander Bogaerts SS
  4. 4 Manny Machado 3B
  5. 5 Gavin Sheets DH
  6. 6 Nick Castellanos RF
  7. 7 Ty France 1B
  8. 8 Jake Cronenworth 2B
  9. 9 Freddy Fermin C

Box score

  123456789 R
SEA 020220000 6
SD 000002005 7

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 · SD
Craig Stammen
B Lineup 0.8 R Bunts 0.4 R IBBs 0.2 R

Recent form

AWAY · SEA
5-5 W2 +2 run diff
WWLWLLLWWL
HOME · SD
4-6 L1 -6 run diff
LWWLWLLLLW

Season series: 0-3 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 −0.04 R/G Optimal arrangement projects 3.20 vs actual lineup 3.24
  • Player execution +2.76 R/G Players exceeded the lineup's 3.24 projection by 2.76 (scored 6)
  • Game variance +2.80 R/G Total game outcome vs optimal expectation

Rodríguez 0-for-4 batting 3rd

HOME · San Diego Padres
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 3.07 vs actual lineup 3.02
  • Player execution +3.98 R/G Players exceeded the lineup's 3.02 projection by 3.98 (scored 7)
  • Game variance +3.93 R/G Total game outcome vs optimal expectation

Machado 0-for-3 batting 4th

COUNTERFACTUAL

Optimal lineups projected 3.2 – 3.1 — actual was 6 – 7.

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.