ARCHIVE May 2, 2026
May 2, 2026 · NL West

Chicago White Sox vs San Diego Padres

May 2, 2026Petco ParkPartly Cloudy 66°F · 9 mph, L To R
AWAY
Chicago White Sox
16-17
4
vs
HOME
San Diego Padres
19-13
0

Starting pitchers

AWAY · CWS
Sean Burke
Sean Burke
IP 6
HOME · SD
Michael King
Michael King
IP 6

Lineups

AWAY · CWS
  1. 1 Andrew Benintendi DH
  2. 2 Munetaka Murakami 1B
  3. 3 Miguel Vargas 3B
  4. 4 Colson Montgomery SS
  5. 5 Chase Meidroth 2B
  6. 6 Sam Antonacci LF
  7. 7 Edgar Quero C
  8. 8 Jarred Kelenic RF
  9. 9 Tristan Peters CF
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 1B
  7. 7 Miguel Andujar DH
  8. 8 Luis Campusano C
  9. 9 Jake Cronenworth 2B

Box score

  123456789 R
CWS 000002200 4
SD 000000000 0

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 +0.02 R/G Optimal arrangement projects 3.18 vs actual lineup 3.16
  • Player execution +0.84 R/G Players exceeded the lineup's 3.16 projection by 0.84 (scored 4)
  • Game variance +0.82 R/G Total game outcome vs optimal expectation

Murakami 0-for-4 batting 2nd

HOME · San Diego Padres
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 3.07 vs actual lineup 3.04
  • Player execution −3.04 R/G Players fell 3.04 short of the lineup's 3.04 projection (scored 0)
  • Game variance −3.07 R/G Total game outcome vs optimal expectation

Jr. 0-for-4 batting 2nd

COUNTERFACTUAL

Optimal lineups projected 3.2 – 3.1 — actual was 4 – 0.

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.