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

Chicago White Sox vs Oakland Athletics

April 17, 2026Sutter Health ParkPartly Cloudy 72°F · 2 mph, L To R
AWAY
Chicago White Sox
7-13
9
vs
HOME
Oakland Athletics
10-10
2

Starting pitchers

AWAY · CWS
Davis Martin
Davis Martin
IP 7
HOME · ATH
Aaron Civale
Aaron Civale
IP 4.2

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 Everson Pereira RF
  6. 6 Sam Antonacci LF
  7. 7 Edgar Quero C
  8. 8 Chase Meidroth 2B
  9. 9 Luisangel Acuña CF
HOME · ATH
  1. 1 Jeff McNeil 2B
  2. 2 Shea Langeliers C
  3. 3 Nick Kurtz 1B
  4. 4 Tyler Soderstrom DH
  5. 5 Jacob Wilson SS
  6. 6 Carlos Cortes LF
  7. 7 Max Muncy 3B
  8. 8 Lawrence Butler RF
  9. 9 Denzel Clarke CF

Box score

  123456789 R
CWS 102020400 9
ATH 000100010 2

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 · ATH
Mark Kotsay
C- Lineup 2.6 R Bunts 1.1 R IBBs 1.1 R

Recent form

AWAY · CWS
6-4 L3 +9 run diff
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HOME · ATH
5-5 W2 -1 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 +0.06 R/G Optimal arrangement projects 3.20 vs actual lineup 3.14
  • Player execution +5.86 R/G Players exceeded the lineup's 3.14 projection by 5.86 (scored 9)
  • Game variance +5.80 R/G Total game outcome vs optimal expectation

Quero 2-for-5 from the 7-hole

HOME · Oakland Athletics
  • Manager lineup cost +0.08 R/G Optimal arrangement projects 2.55 vs actual lineup 2.46
  • Player execution −0.46 R/G Players fell 0.46 short of the lineup's 2.46 projection (scored 2)
  • Game variance −0.55 R/G Total game outcome vs optimal expectation

Soderstrom 0-for-4 batting 4th

COUNTERFACTUAL

Optimal lineups projected 3.2 – 2.5 — actual was 9 – 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.