ARCHIVE April 1, 2026
April 1, 2026 · NL East

Chicago White Sox vs Miami Marlins

April 1, 2026loanDepot parkRoof Closed 72°F · 0 mph, None
AWAY
Chicago White Sox
1-5
0
vs
HOME
Miami Marlins
5-1
10

Starting pitchers

AWAY · CWS
Shane Smith
Shane Smith
IP 3
HOME · MIA
Sandy Alcantara
Sandy Alcantara
IP 9

Lineups

AWAY · CWS
  1. 1 Chase Meidroth 2B
  2. 2 Munetaka Murakami 1B
  3. 3 Andrew Benintendi LF
  4. 4 Colson Montgomery 3B
  5. 5 Miguel Vargas DH
  6. 6 Tristan Peters CF
  7. 7 Everson Pereira RF
  8. 8 Reese McGuire C
  9. 9 Luisangel Acuña SS
HOME · MIA
  1. 1 Jakob Marsee CF
  2. 2 Xavier Edwards 2B
  3. 3 Otto Lopez SS
  4. 4 Liam Hicks C
  5. 5 Connor Norby DH
  6. 6 Owen Caissie RF
  7. 7 Heriberto Hernandez LF
  8. 8 Graham Pauley 1B
  9. 9 Javier Sanoja 3B

Box score

  123456789 R
CWS 000000000 0
MIA 422001010 10

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 · MIA
Clayton McCullough
C+ Lineup 1.4 R Bunts 0.4 R IBBs 0.6 R

Recent form

AWAY · CWS
6-4 L3 +9 run diff
LLLWLWWWWW
HOME · MIA
4-6 L1 -6 run diff
LWLLLLWLWW

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 3.57 vs actual lineup 3.40
  • Player execution −3.40 R/G Players fell 3.40 short of the lineup's 3.40 projection (scored 0)
  • Game variance −3.57 R/G Total game outcome vs optimal expectation

Benintendi 0-for-4 batting 3rd

HOME · Miami Marlins
  • Manager lineup cost +0.00 R/G Optimal arrangement projects 4.89 vs actual lineup 4.89
  • Player execution +5.11 R/G Players exceeded the lineup's 4.89 projection by 5.11 (scored 10)
  • Game variance +5.11 R/G Total game outcome vs optimal expectation

Marsee 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.6 – 4.9 — actual was 0 – 10.

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.