Matchup · Tuesday, May 5, 2026
Toronto Blue Jays
at Tampa Bay Rays
6:40 PM ET · 3:40 PM PTTropicana Field, St. Petersburgdome roof
The Headline
Kazuma Okamoto enters this game with a 17.8% 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
Kevin Gausman
HR VulnerabilityAverage
Contact Quality AllowedLeague average
ERA3.10
WHIP0.96
IP40.2
HR/91.10
K/98.9
xwOBA0.292
Barrel%9.7%
Hard-hit%38.9%
Home Starter · RHP
Drew Rasmussen
HR VulnerabilityVulnerable
Contact Quality AllowedLeague average
ERA2.64
WHIP0.85
IP30.2
HR/91.50
K/99.4
xwOBA0.258
Barrel%8.2%
Hard-hit%32.9%
The Lineups
Each batter's probability of homering in the game, ranked.
High
Medium
Low confidence
Away Lineup
Toronto Blue Jays
Kazuma Okamoto
RHB·9 HR / 143 PA·Brl 15.7%
17.8%
H 64·K 57
Brandon Valenzuela
SHB·3 HR / 51 PA·Brl 10.0%
14.6%
H 62·K 60
Jesús Sánchez
LHB·4 HR / 118 PA·Brl 8.0%
vs SP: 1-for-7 · .143 · 0 HR · 1 K · 8 PA
12.6%
H 60·K 50
Myles Straw
RHB·2 HR / 63 PA·Brl 6.4%
12.4%
H 64·K 47
Nathan Lukes
LHB·0 HR / 0 PA
vs SP: 1-for-3 · .333 · 0 HR · 1 K · 3 PA
11.9%
H 63·K 55
George Springer
RHB·2 HR / 75 PA·Brl 7.8%
vs SP: 2-for-15 · .133 · 1 HR · 2 K · 20 PA
11.8%
H 61·K 52
Daulton Varsho
LHB·4 HR / 127 PA·Brl 6.6%
vs SP: 1-for-5 · .200 · 0 HR · 2 K · 6 PA
11.8%
H 62·K 57
Lenyn Sosa
RHB·1 HR / 77 PA·Brl 6.7%
vs SP: 1-for-4 · .250 · 0 HR · 2 K · 4 PA
11.0%
H 62·K 56
Davis Schneider
RHB·1 HR / 65 PA·Brl 12.9%
vs SP: 0-for-1 · .000 · 0 HR · 1 K · 1 PA
10.9%
H 60·K 61
Vladimir Guerrero Jr.
RHB·2 HR / 149 PA·Brl 11.0%
vs SP: 6-for-24 · .250 · 1 HR · 3 K · 25 PA
10.9%
H 62·K 47
Yohendrick Piñango
LHB·0 HR / 19 PA·Brl 0.0%
10.3%
H 70·K 55
Andrés Giménez
LHB·3 HR / 123 PA·Brl 3.1%
vs SP: 0-for-1 · .000 · 0 HR · 1 K · 1 PA
9.4%
H 57·K 50
Home Lineup
Tampa Bay Rays
Junior Caminero
RHB·9 HR / 147 PA·Brl 10.9%
vs SP: 2-for-8 · .250 · 0 HR · 3 K · 9 PA
16.3%
H 64·K 48
Jonathan Aranda
LHB·7 HR / 146 PA·Brl 10.3%
vs SP: 2-for-5 · .400 · 0 HR · 3 K · 5 PA
14.5%
H 69·K 59
Yandy Díaz
RHB·5 HR / 139 PA·Brl 5.9%
vs SP: 7-for-12 · .583 · 1 HR · 4 K · 14 PA
12.3%
H 65·K 46
Jake Fraley
LHB·2 HR / 74 PA·Brl 8.3%
vs SP: 0-for-3 · .000 · 0 HR · 2 K · 4 PA
11.7%
H 62·K 63
Ryan Vilade
RHB·1 HR / 46 PA·Brl 0.0%
11.6%
H 63·K 47
Jonny DeLuca
RHB·2 HR / 76 PA·Brl 5.4%
vs SP: 0-for-2 · .000 · 0 HR · 0 K · 3 PA
10.8%
H 64·K 55
Cedric Mullins
LHB·2 HR / 115 PA·Brl 2.4%
vs SP: 5-for-17 · .294 · 0 HR · 2 K · 17 PA
9.9%
H 54·K 50
Richie Palacios
LHB·1 HR / 63 PA·Brl 5.4%
vs SP: 2-for-5 · .400 · 0 HR · 1 K · 5 PA
9.8%
H 62·K 59
Hunter Feduccia
LHB·0 HR / 41 PA·Brl 0.0%
vs SP: 0-for-2 · .000 · 0 HR · 2 K · 2 PA
9.8%
H 63·K 61
Nick Fortes
RHB·1 HR / 92 PA·Brl 1.4%
vs SP: 1-for-2 · .500 · 0 HR · 0 K · 2 PA
9.2%
H 58·K 48
Taylor Walls
SHB·0 HR / 85 PA·Brl 0.0%
vs SP: 3-for-9 · .333 · 0 HR · 2 K · 9 PA
8.6%
H 59·K 61
Ben Williamson
RHB·0 HR / 100 PA·Brl 0.0%
vs SP: 1-for-2 · .500 · 0 HR · 0 K · 2 PA
8.6%
H 62·K 53
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.
