ARCHIVE April 3, 2026
April 3, 2026 · AL Cent

Tampa Bay Rays vs Minnesota Twins

April 3, 2026Target FieldOvercast 38°F · 9 mph, In From LF
AWAY
Tampa Bay Rays
2-5
4
vs
HOME
Minnesota Twins
3-4
10

Starting pitchers

AWAY · TB
Joe Boyle
Joe Boyle
IP 5.1
HOME · MIN
Bailey Ober
Bailey Ober
IP 4

Lineups

AWAY · TB
  1. 1 Yandy Díaz DH
  2. 2 Jonathan Aranda 1B
  3. 3 Junior Caminero 3B
  4. 4 Jake Fraley RF
  5. 5 Nick Fortes C
  6. 6 Cedric Mullins CF
  7. 7 Ben Williamson 2B
  8. 8 Chandler Simpson LF
  9. 9 Carson Williams SS
HOME · MIN
  1. 1 Kody Clemens 1B
  2. 2 Byron Buxton CF
  3. 3 Luke Keaschall 2B
  4. 4 Matt Wallner RF
  5. 5 Josh Bell DH
  6. 6 Ryan Jeffers C
  7. 7 Trevor Larnach LF
  8. 8 Royce Lewis 3B
  9. 9 Tristan Gray SS

Box score

  123456789 R
TB 200100010 4
MIN 000300700 10

Manager comparison

Both managers grade B- / B entering this matchup.

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

Recent form

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

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 +0.03 R/G Optimal arrangement projects 3.79 vs actual lineup 3.76
  • Player execution +0.24 R/G Players exceeded the lineup's 3.76 projection by 0.24 (scored 4)
  • Game variance +0.21 R/G Total game outcome vs optimal expectation

Aranda 0-for-5 batting 2nd

HOME · Minnesota Twins
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 4.73 vs actual lineup 4.76
  • Player execution +5.24 R/G Players exceeded the lineup's 4.76 projection by 5.24 (scored 10)
  • Game variance +5.27 R/G Total game outcome vs optimal expectation

Gray HR from the 9-hole

COUNTERFACTUAL

Optimal lineups projected 3.8 – 4.7 — actual was 4 – 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.