ARCHIVE May 3, 2026
May 3, 2026 · NL West

Chicago White Sox vs San Diego Padres

May 3, 2026Petco ParkCloudy 66°F · 8 mph, L To R
AWAY
Chicago White Sox
16-18
3
vs
HOME
San Diego Padres
20-13
4

Starting pitchers

AWAY · CWS
Anthony Kay
Anthony Kay
IP 5
HOME · SD
Griffin Canning
Griffin Canning
IP 5

Lineups

AWAY · CWS
  1. 1 Sam Antonacci LF
  2. 2 Munetaka Murakami 1B
  3. 3 Andrew Benintendi DH
  4. 4 Colson Montgomery 3B
  5. 5 Chase Meidroth 2B
  6. 6 Jarred Kelenic RF
  7. 7 Tristan Peters CF
  8. 8 Luisangel Acuña SS
  9. 9 Drew Romo C
HOME · SD
  1. 1 Ramón Laureano LF
  2. 2 Miguel Andujar DH
  3. 3 Jackson Merrill CF
  4. 4 Manny Machado 3B
  5. 5 Xander Bogaerts SS
  6. 6 Ty France 1B
  7. 7 Nick Castellanos RF
  8. 8 Freddy Fermin C
  9. 9 Jake Cronenworth 2B

Box score

  123456789 R
CWS 001000200 3
SD 000300010 4

Manager comparison

Both managers grade D- / B entering this matchup.

AWAY · CWS
Will Venable
D- Lineup 3.2 R Bunts 2.2 R IBBs 1.1 R
HOME · SD
Craig Stammen
B Lineup 0.8 R Bunts 0.4 R IBBs 0.2 R

Recent form

AWAY · CWS
6-4 L3 +9 run diff
LLLWLWWWWW
HOME · SD
4-6 L1 -6 run diff
LWWLWLLLLW

Season series: 2-1 with CWS 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 · Chicago White Sox
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 2.49 vs actual lineup 2.47
  • Player execution +0.53 R/G Players exceeded the lineup's 2.47 projection by 0.53 (scored 3)
  • Game variance +0.51 R/G Total game outcome vs optimal expectation

Romo HR from the 9-hole

HOME · San Diego Padres
  • Manager lineup cost +0.10 R/G Optimal arrangement projects 4.71 vs actual lineup 4.61
  • Player execution −0.61 R/G Players fell 0.61 short of the lineup's 4.61 projection (scored 4)
  • Game variance −0.71 R/G Total game outcome vs optimal expectation

Laureano 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 2.5 – 4.7 — actual was 3 – 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.