ARCHIVE April 25, 2026
April 25, 2026 · AL East

Minnesota Twins vs Tampa Bay Rays

April 25, 2026Tropicana FieldDome 72°F · 0 mph, None
AWAY
Minnesota Twins
12-15
1
vs
HOME
Tampa Bay Rays
15-11
6

Starting pitchers

AWAY · MIN
Bailey Ober
Bailey Ober
IP 6
HOME · TB
Shane McClanahan
Shane McClanahan
IP 5

Lineups

AWAY · MIN
  1. 1 Byron Buxton CF
  2. 2 Austin Martin LF
  3. 3 Josh Bell DH
  4. 4 Ryan Jeffers C
  5. 5 Victor Caratini 1B
  6. 6 Luke Keaschall 2B
  7. 7 Matt Wallner RF
  8. 8 Royce Lewis 3B
  9. 9 Brooks Lee SS
HOME · 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 Ben Williamson SS
  7. 7 Cedric Mullins CF
  8. 8 Nick Fortes C
  9. 9 Richie Palacios 2B

Box score

  123456789 R
MIN 000000001 1
TB 000200310 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 −0.06 R/G Optimal arrangement projects 3.80 vs actual lineup 3.86
  • Player execution −2.86 R/G Players fell 2.86 short of the lineup's 3.86 projection (scored 1)
  • Game variance −2.80 R/G Total game outcome vs optimal expectation

Martin 0-for-3 batting 2nd

HOME · Tampa Bay Rays
  • Manager lineup cost −0.01 R/G Optimal arrangement projects 3.77 vs actual lineup 3.78
  • Player execution +2.22 R/G Players exceeded the lineup's 3.78 projection by 2.22 (scored 6)
  • Game variance +2.23 R/G Total game outcome vs optimal expectation

Simpson 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.8 – 3.8 — actual was 1 – 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.