ARCHIVE April 15, 2026
April 15, 2026 · AL Cent

Tampa Bay Rays vs Chicago White Sox

April 15, 2026Rate FieldPartly Cloudy 73°F · 14 mph, In From RF
AWAY
Tampa Bay Rays
10-7
8
vs
HOME
Chicago White Sox
6-12
3

Starting pitchers

AWAY · TB
Jesse Scholtens
Jesse Scholtens
IP 5
HOME · CWS
Sean Burke
Sean Burke
IP 5.1

Lineups

AWAY · TB
  1. 1 Chandler Simpson LF
  2. 2 Junior Caminero 3B
  3. 3 Jonathan Aranda 1B
  4. 4 Yandy Díaz DH
  5. 5 Jake Fraley RF
  6. 6 Cedric Mullins CF
  7. 7 Richie Palacios 2B
  8. 8 Hunter Feduccia C
  9. 9 Taylor Walls SS
HOME · CWS
  1. 1 Andrew Benintendi LF
  2. 2 Munetaka Murakami DH
  3. 3 Miguel Vargas 1B
  4. 4 Colson Montgomery SS
  5. 5 Sam Antonacci 2B
  6. 6 Tanner Murray 3B
  7. 7 Tristan Peters RF
  8. 8 Reese McGuire C
  9. 9 Luisangel Acuña CF

Box score

  123456789 R
TB 001021400 8
CWS 000000003 3

Manager comparison

Both managers grade B- / D- entering this matchup.

AWAY · TB
Kevin Cash
B- Lineup 0.9 R Bunts 2.4 R IBBs 2.1 R
HOME · CWS
Will Venable
D- Lineup 3.2 R Bunts 2.2 R IBBs 1.1 R

Recent form

AWAY · TB
8-2 L1 +17 run diff
LWWWWWWWLW
HOME · CWS
6-4 L3 +9 run diff
LLLWLWWWWW

Season series: 3-0 with TB 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 · Tampa Bay Rays
  • Manager lineup cost +0.01 R/G Optimal arrangement projects 3.08 vs actual lineup 3.07
  • Player execution +4.93 R/G Players exceeded the lineup's 3.07 projection by 4.93 (scored 8)
  • Game variance +4.92 R/G Total game outcome vs optimal expectation

Simpson 0-for-4 batting 1st

HOME · Chicago White Sox
  • Manager lineup cost +0.13 R/G Optimal arrangement projects 3.55 vs actual lineup 3.42
  • Player execution −0.42 R/G Players fell 0.42 short of the lineup's 3.42 projection (scored 3)
  • Game variance −0.55 R/G Total game outcome vs optimal expectation

Vargas 0-for-4 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 3.1 – 3.5 — actual was 8 – 3.

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.