Matchup · Friday, April 24, 2026
Minnesota Twins
at Tampa Bay Rays
7:10 PM ET · 4:10 PM PTTropicana Field, St. Petersburgdome roof
The Headline
Byron Buxton enters this game with a 15.6% model-estimated probability of homering at Tropicana Field, the strongest HR spot on the board. Below: full lineups for both teams, ranked by expected HR output, alongside detailed profiles of both probable starters.
Park Factors
LHB HR factor93
RHB HR factor95
Probable Starters
Away Starter · RHP
Taj Bradley
HR VulnerabilityElite
Contact Quality AllowedElite suppression
ERA1.63
WHIP1.23
IP27.2
HR/90.00
K/911.1
xwOBA0.290
Barrel%4.2%
Hard-hit%45.8%
Home Starter · RHP
Drew Rasmussen
HR VulnerabilityVery HR-prone
Contact Quality AllowedBelow average
ERA2.75
WHIP0.66
IP19.2
HR/91.80
K/99.2
xwOBA0.269
Barrel%11.8%
Hard-hit%39.2%
The Lineups
Each batter's probability of homering in the game, ranked.
High
Medium
Low confidence
Away Lineup
Minnesota Twins
Byron Buxton
RHB·5 HR / 106 PA·Brl 15.6%
vs SP: 3-for-5 · .600 · 3 HR · 2 K · 5 PA
15.6%
H 60·K 69
Tristan Gray
LHB·3 HR / 46 PA·Brl 13.0%
13.3%
H 62·K 73
Kody Clemens
LHB·2 HR / 57 PA·Brl 17.2%
vs SP: 0-for-4 · .000 · 0 HR · 3 K · 5 PA
12.9%
H 62·K 73
Brooks Lee
SHB·3 HR / 83 PA·Brl 3.6%
vs SP: 0-for-3 · .000 · 0 HR · 0 K · 3 PA
12.8%
H 56·K 58
Royce Lewis
RHB·2 HR / 53 PA·Brl 11.1%
vs SP: 0-for-4 · .000 · 0 HR · 0 K · 4 PA
12.7%
H 61·K 73
Ryan Jeffers
RHB·3 HR / 75 PA·Brl 13.3%
vs SP: 0-for-4 · .000 · 0 HR · 3 K · 4 PA
12.3%
H 63·K 58
Matt Wallner
LHB·3 HR / 89 PA·Brl 9.3%
vs SP: 1-for-2 · .500 · 0 HR · 0 K · 2 PA
11.9%
H 61·K 73
Josh Bell
SHB·3 HR / 101 PA·Brl 9.1%
vs SP: 1-for-4 · .250 · 0 HR · 2 K · 4 PA
11.9%
H 65·K 54
Austin Martin
RHB·1 HR / 68 PA·Brl 5.6%
11.5%
H 63·K 58
Trevor Larnach
LHB·1 HR / 60 PA·Brl 9.4%
vs SP: 3-for-7 · .429 · 0 HR · 1 K · 8 PA
11.5%
H 63·K 58
James Outman
LHB·0 HR / 24 PA·Brl 0.0%
11.4%
H 61·K 64
Victor Caratini
SHB·1 HR / 80 PA·Brl 5.1%
vs SP: 0-for-1 · .000 · 0 HR · 0 K · 1 PA
11.0%
H 60·K 54
Home Lineup
Tampa Bay Rays
vs Taj Bradley
Junior Caminero
RHB·6 HR / 110 PA·Brl 10.1%
14.1%
H 66·K 61
Jonathan Aranda
LHB·4 HR / 108 PA·Brl 9.5%
11.3%
H 63·K 70
Jonny DeLuca
RHB·2 HR / 53 PA·Brl 7.3%
11.2%
H 64·K 65
Cedric Mullins
LHB·2 HR / 85 PA·Brl 3.3%
vs SP: 2-for-7 · .286 · 1 HR · 4 K · 7 PA
10.2%
H 58·K 60
Richie Palacios
LHB·1 HR / 48 PA·Brl 6.5%
10.2%
H 63·K 57
Yandy Díaz
RHB·3 HR / 108 PA·Brl 5.0%
10.2%
H 65·K 56
Jake Fraley
LHB·1 HR / 53 PA·Brl 8.6%
vs SP: 0-for-2 · .000 · 0 HR · 2 K · 2 PA
10.1%
H 62·K 68
Ryan Vilade
RHB·0 HR / 31 PA·Brl 0.0%
9.8%
H 63·K 64
Nick Fortes
RHB·1 HR / 67 PA·Brl 1.9%
vs SP: 2-for-2 · 1.000 · 0 HR · 0 K · 2 PA
9.8%
H 66·K 61
Hunter Feduccia
LHB·0 HR / 32 PA·Brl 0.0%
9.5%
H 62·K 76
Taylor Walls
SHB·0 HR / 55 PA·Brl 0.0%
8.8%
H 57·K 70
Ben Williamson
RHB·0 HR / 70 PA·Brl 0.0%
8.6%
H 63·K 64
A Note on These Numbers
HR probabilities come from our calibrated probability model combining season stats, recent form, Statcast quality, handedness splits, and park effects. Even the top pick on any given day misses 75-80% of the time — home runs are genuinely rare events. See the calibration page for how accurate these numbers have been historically.