ARCHIVE April 17, 2026
April 17, 2026 · AL West

San Diego Padres vs Los Angeles Angels

April 17, 2026Angel StadiumClear 74°F · 9 mph, Out To RF
AWAY
San Diego Padres
13-7
0
vs
HOME
Los Angeles Angels
11-10
8

Starting pitchers

AWAY · SD
Matt Waldron
Matt Waldron
IP 3.2
HOME · LAA
José Soriano
José Soriano
IP 5.2

Lineups

AWAY · SD
  1. 1 Jake Cronenworth 2B
  2. 2 Fernando Tatis RF
  3. 3 Jackson Merrill CF
  4. 4 Manny Machado 3B
  5. 5 Xander Bogaerts SS
  6. 6 Gavin Sheets LF
  7. 7 Nick Castellanos DH
  8. 8 Ty France 1B
  9. 9 Luis Campusano C
HOME · LAA
  1. 1 Zach Neto SS
  2. 2 Mike Trout CF
  3. 3 Nolan Schanuel 1B
  4. 4 Jo Adell DH
  5. 5 Yoán Moncada 3B
  6. 6 Oswald Peraza 2B
  7. 7 Josh Lowe RF
  8. 8 Logan O'Hoppe C
  9. 9 Adam Frazier LF

Box score

  123456789 R
SD 000000000 0
LAA 030320000 8

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 +0.00 R/G Optimal arrangement projects 2.32 vs actual lineup 2.33
  • Player execution −2.33 R/G Players fell 2.33 short of the lineup's 2.33 projection (scored 0)
  • Game variance −2.32 R/G Total game outcome vs optimal expectation

Cronenworth 0-for-4 batting 1st

HOME · Los Angeles Angels
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 4.73 vs actual lineup 4.68
  • Player execution +3.32 R/G Players exceeded the lineup's 4.68 projection by 3.32 (scored 8)
  • Game variance +3.27 R/G Total game outcome vs optimal expectation

Lowe HR from the 7-hole

COUNTERFACTUAL

Optimal lineups projected 2.3 – 4.7 — actual was 0 – 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.