ARCHIVE April 14, 2026
April 14, 2026 · NL West

Seattle Mariners vs San Diego Padres

April 14, 2026Petco ParkClear 66°F · 11 mph, L To R
AWAY
Seattle Mariners
8-10
1
vs
HOME
San Diego Padres
11-6
4

Starting pitchers

AWAY · SEA
Bryan Woo
Bryan Woo
IP 7
HOME · SD
Michael King
Michael King
IP 6

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 J.P. Crawford SS
  8. 8 Dominic Canzone DH
  9. 9 Cole Young 2B
HOME · SD
  1. 1 Ramón Laureano LF
  2. 2 Fernando Tatis Jr. RF
  3. 3 Jackson Merrill CF
  4. 4 Manny Machado 3B
  5. 5 Xander Bogaerts SS
  6. 6 Gavin Sheets DH
  7. 7 Ty France 1B
  8. 8 Luis Campusano C
  9. 9 Jake Cronenworth 2B

Box score

  123456789 R
SEA 010000000 1
SD 003000010 4

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 −0.02 R/G Optimal arrangement projects 2.84 vs actual lineup 2.86
  • Player execution −1.86 R/G Players fell 1.86 short of the lineup's 2.86 projection (scored 1)
  • Game variance −1.84 R/G Total game outcome vs optimal expectation

Donovan 0-for-3 batting 1st

HOME · San Diego Padres
  • Manager lineup cost −0.10 R/G Optimal arrangement projects 4.28 vs actual lineup 4.38
  • Player execution −0.38 R/G Players fell 0.38 short of the lineup's 4.38 projection (scored 4)
  • Game variance −0.28 R/G Total game outcome vs optimal expectation

Machado 0-for-4 batting 4th

COUNTERFACTUAL

Optimal lineups projected 2.8 – 4.3 — actual was 1 – 4.

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.