ARCHIVE May 1, 2026
May 1, 2026 · NL West

Chicago White Sox vs San Diego Padres

May 1, 2026Petco ParkPartly Cloudy 66°F · 6 mph, L To R
AWAY
Chicago White Sox
15-17
8
vs
HOME
San Diego Padres
19-12
2

Starting pitchers

AWAY · CWS
Noah Schultz
Noah Schultz
IP 6
HOME · SD
Germán Márquez
Germán Márquez
IP 5

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 Austin Hays RF
  8. 8 Tristan Peters CF
  9. 9 Drew Romo C
HOME · SD
  1. 1 Ramón Laureano LF
  2. 2 Fernando Tatis Jr. 2B
  3. 3 Miguel Andujar DH
  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 Bryce Johnson CF

Box score

  123456789 R
CWS 060010010 8
SD 000000020 2

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
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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 +0.16 R/G Optimal arrangement projects 4.90 vs actual lineup 4.74
  • Player execution +3.26 R/G Players exceeded the lineup's 4.74 projection by 3.26 (scored 8)
  • Game variance +3.10 R/G Total game outcome vs optimal expectation

Benintendi 0-for-4 batting 1st

HOME · San Diego Padres
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 2.99 vs actual lineup 2.98
  • Player execution −0.98 R/G Players fell 0.98 short of the lineup's 2.98 projection (scored 2)
  • Game variance −0.99 R/G Total game outcome vs optimal expectation

Laureano 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 4.9 – 3.0 — actual was 8 – 2.

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.