ARCHIVE April 10, 2026
April 10, 2026 · AL Cent

Chicago White Sox vs Kansas City Royals

April 10, 2026Kauffman StadiumCloudy 57°F · 8 mph, In From RF
AWAY
Chicago White Sox
5-9
0
vs
HOME
Kansas City Royals
6-8
2

Starting pitchers

AWAY · CWS
Davis Martin
Davis Martin
IP 7
HOME · KC
Kris Bubic
Kris Bubic
IP 7

Lineups

AWAY · CWS
  1. 1 Chase Meidroth 2B
  2. 2 Miguel Vargas 3B
  3. 3 Munetaka Murakami 1B
  4. 4 Edgar Quero C
  5. 5 Lenyn Sosa DH
  6. 6 Colson Montgomery SS
  7. 7 Luisangel Acuña CF
  8. 8 Tanner Murray LF
  9. 9 Derek Hill RF
HOME · KC
  1. 1 Maikel Garcia 3B
  2. 2 Bobby Witt SS
  3. 3 Vinnie Pasquantino 1B
  4. 4 Salvador Perez C
  5. 5 Carter Jensen DH
  6. 6 Michael Massey 2B
  7. 7 Jac Caglianone RF
  8. 8 Isaac Collins LF
  9. 9 Kyle Isbel CF

Box score

  123456789 R
CWS 000000000 0
KC 000100100 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 · KC
Matt Quatraro
C Lineup 1.9 R Bunts 1.1 R IBBs 0.8 R

Recent form

AWAY · CWS
6-4 L3 +9 run diff
LLLWLWWWWW
HOME · KC
6-4 W1 +1 run diff
WLLWWWWWLL

Season series: 2-2 with CWS listed first across 4 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 +0.05 R/G Optimal arrangement projects 3.54 vs actual lineup 3.50
  • Player execution −3.50 R/G Players fell 3.50 short of the lineup's 3.50 projection (scored 0)
  • Game variance −3.54 R/G Total game outcome vs optimal expectation

Meidroth 0-for-4 batting 1st

HOME · Kansas City Royals
  • Manager lineup cost −0.05 R/G Optimal arrangement projects 2.36 vs actual lineup 2.40
  • Player execution −0.40 R/G Players fell 0.40 short of the lineup's 2.40 projection (scored 2)
  • Game variance −0.36 R/G Total game outcome vs optimal expectation

Pasquantino 0-for-3 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 3.5 – 2.4 — actual was 0 – 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.