ARCHIVE April 24, 2026
April 24, 2026 · AL East

Minnesota Twins vs Tampa Bay Rays

April 24, 2026Tropicana FieldDome 72°F · 0 mph, None
AWAY
Minnesota Twins
12-14
2
vs
HOME
Tampa Bay Rays
14-11
6

Starting pitchers

AWAY · MIN
Taj Bradley
Taj Bradley
IP 6.1
HOME · TB
Drew Rasmussen
Drew Rasmussen
IP 6

Lineups

AWAY · MIN
  1. 1 Byron Buxton DH
  2. 2 Trevor Larnach LF
  3. 3 Austin Martin CF
  4. 4 Victor Caratini C
  5. 5 Kody Clemens 1B
  6. 6 Royce Lewis 3B
  7. 7 Matt Wallner RF
  8. 8 Brooks Lee SS
  9. 9 Tristan Gray 2B
HOME · TB
  1. 1 Chandler Simpson LF
  2. 2 Junior Caminero 3B
  3. 3 Jonathan Aranda 1B
  4. 4 Yandy Díaz DH
  5. 5 Jonny DeLuca RF
  6. 6 Cedric Mullins CF
  7. 7 Ben Williamson 2B
  8. 8 Nick Fortes C
  9. 9 Taylor Walls SS

Box score

  123456789 R
MIN 000010001 2
TB 101101200 6

Manager comparison

Both managers grade B / B- entering this matchup.

AWAY · MIN
Derek Shelton
B Lineup 0.8 R Bunts 0.5 R IBBs 0.4 R
HOME · TB
Kevin Cash
B- Lineup 0.9 R Bunts 2.4 R IBBs 2.1 R

Recent form

AWAY · MIN
3-7 L3 -21 run diff
LLLWWLLWLL
HOME · TB
8-2 L1 +17 run diff
LWWWWWWWLW

Season series: 0-3 with MIN 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 · Minnesota Twins
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 3.15 vs actual lineup 3.12
  • Player execution −1.12 R/G Players fell 1.12 short of the lineup's 3.12 projection (scored 2)
  • Game variance −1.15 R/G Total game outcome vs optimal expectation

Lee HR from the 8-hole

HOME · Tampa Bay Rays
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 3.11 vs actual lineup 3.06
  • Player execution +2.94 R/G Players exceeded the lineup's 3.06 projection by 2.94 (scored 6)
  • Game variance +2.89 R/G Total game outcome vs optimal expectation

Simpson 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.1 – 3.1 — actual was 2 – 6.

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.