ARCHIVE May 4, 2026
May 4, 2026 · AL West

Chicago White Sox vs Los Angeles Angels

May 4, 2026Angel StadiumCloudy 64°F · 9 mph, Out To CF
AWAY
Chicago White Sox
17-18
6
vs
HOME
Los Angeles Angels
13-23
0

Starting pitchers

AWAY · CWS
Davis Martin
Davis Martin
IP 7
HOME · LAA
José Soriano
José Soriano
IP 4

Lineups

AWAY · CWS
  1. 1 Sam Antonacci LF
  2. 2 Munetaka Murakami 1B
  3. 3 Miguel Vargas 3B
  4. 4 Colson Montgomery SS
  5. 5 Chase Meidroth 2B
  6. 6 Andrew Benintendi DH
  7. 7 Jarred Kelenic RF
  8. 8 Tristan Peters CF
  9. 9 Drew Romo C
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
CWS 200300010 6
LAA 000000000 0

Manager comparison

Both managers grade D- / C entering this matchup.

AWAY · CWS
Will Venable
D- Lineup 3.2 R Bunts 2.2 R IBBs 1.1 R
HOME · LAA
Kurt Suzuki
C Lineup 1.4 R Bunts 2.0 R IBBs 2.1 R

Recent form

AWAY · CWS
6-4 L3 +9 run diff
LLLWLWWWWW
HOME · LAA
3-7 L1 -10 run diff
LWWLLWLLLL

Season series: 4-2 with CWS listed first across 6 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 +0.08 R/G Optimal arrangement projects 2.49 vs actual lineup 2.41
  • Player execution +3.59 R/G Players exceeded the lineup's 2.41 projection by 3.59 (scored 6)
  • Game variance +3.51 R/G Total game outcome vs optimal expectation

Kelenic 3-for-5 from the 7-hole

HOME · Los Angeles Angels
  • Manager lineup cost +0.03 R/G Optimal arrangement projects 2.43 vs actual lineup 2.40
  • Player execution −2.40 R/G Players fell 2.40 short of the lineup's 2.40 projection (scored 0)
  • Game variance −2.43 R/G Total game outcome vs optimal expectation

Neto 0-for-4 batting 1st

COUNTERFACTUAL

Optimal lineups projected 2.5 – 2.4 — actual was 6 – 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.