ARCHIVE April 19, 2026
April 19, 2026 · AL West

San Diego Padres vs Los Angeles Angels

April 19, 2026Angel StadiumCloudy 78°F · 8 mph, R To L
AWAY
San Diego Padres
15-7
2
vs
HOME
Los Angeles Angels
11-12
1

Starting pitchers

AWAY · SD
Michael King
Michael King
IP 5
HOME · LAA
Walbert Urena
Walbert Urena
IP 6

Lineups

AWAY · SD
  1. 1 Ramón Laureano LF
  2. 2 Fernando Tatis Jr. 2B
  3. 3 Jackson Merrill CF
  4. 4 Manny Machado 3B
  5. 5 Xander Bogaerts SS
  6. 6 Gavin Sheets 1B
  7. 7 Miguel Andujar DH
  8. 8 Luis Campusano C
  9. 9 Bryce Johnson RF
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 Travis d'Arnaud C
  9. 9 Adam Frazier 2B

Box score

  123456789 R
SD 000100100 2
LAA 000000100 1

Manager comparison

Both managers grade B / C entering this matchup.

AWAY · SD
Craig Stammen
B Lineup 0.8 R Bunts 0.4 R IBBs 0.2 R
HOME · LAA
Kurt Suzuki
C Lineup 1.4 R Bunts 2.0 R IBBs 2.1 R

Recent form

AWAY · SD
4-6 L1 -6 run diff
LWWLWLLLLW
HOME · LAA
3-7 L1 -10 run diff
LWWLLWLLLL

Season series: 2-1 with SD 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 · San Diego Padres
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 4.31 vs actual lineup 4.29
  • Player execution −2.29 R/G Players fell 2.29 short of the lineup's 4.29 projection (scored 2)
  • Game variance −2.31 R/G Total game outcome vs optimal expectation

Laureano 0-for-4 batting 1st

HOME · Los Angeles Angels
  • Manager lineup cost −0.06 R/G Optimal arrangement projects 2.74 vs actual lineup 2.80
  • Player execution −1.80 R/G Players fell 1.80 short of the lineup's 2.80 projection (scored 1)
  • Game variance −1.74 R/G Total game outcome vs optimal expectation

Schanuel 0-for-3 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 4.3 – 2.7 — actual was 2 – 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.