Matchup · Thursday, April 23, 2026
Los Angeles Dodgers
at San Francisco Giants
3:45 PM ET · 12:45 PM PTOracle Park, San Franciscoopen roof
The Headline
Max Muncy enters this game with a 14.5% model-estimated probability of homering at Oracle Park, 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 factor85
RHB HR factor93
Probable Starters
Away Starter · RHP
Tyler Glasnow
HR VulnerabilityElite
Contact Quality AllowedAbove average
ERA3.24
WHIP0.84
IP25.0
HR/90.70
K/910.4
xwOBA0.260
Barrel%6.7%
Hard-hit%38.3%
Home Starter · RHP
Logan Webb
HR VulnerabilityElite
Contact Quality AllowedAbove average
ERA5.10
WHIP1.40
IP30.0
HR/90.60
K/98.1
xwOBA0.333
Barrel%6.5%
Hard-hit%52.2%
The Lineups
Each batter's probability of homering in the game, ranked.
High
Medium
Low confidence
Away Lineup
Los Angeles Dodgers
vs Logan Webb
Max Muncy
LHB·8 HR / 93 PA·Brl 17.3%
vs SP: 9-for-35 · .257 · 3 HR · 8 K · 42 PA
14.5%
H 71·K 71
Dalton Rushing
LHB·7 HR / 31 PA·Brl 23.8%
14.3%
H 68·K 66
Teoscar Hernández
RHB·4 HR / 85 PA·Brl 11.8%
vs SP: 7-for-22 · .318 · 1 HR · 5 K · 25 PA
13.2%
H 62·K 69
Shohei Ohtani
LHB·5 HR / 111 PA·Brl 24.2%
vs SP: 8-for-22 · .364 · 2 HR · 7 K · 27 PA
13.1%
H 64·K 64
Andy Pages
RHB·5 HR / 94 PA·Brl 8.3%
vs SP: 4-for-17 · .235 · 0 HR · 2 K · 18 PA
11.5%
H 58·K 66
Kyle Tucker
LHB·3 HR / 103 PA·Brl 7.8%
vs SP: 3-for-10 · .300 · 0 HR · 1 K · 11 PA
10.6%
H 60·K 61
Miguel Rojas
RHB·1 HR / 43 PA·Brl 6.5%
vs SP: 3-for-12 · .250 · 0 HR · 3 K · 15 PA
10.1%
H 63·K 51
Hyeseong Kim
LHB·1 HR / 37 PA·Brl 10.0%
vs SP: 1-for-2 · .500 · 0 HR · 1 K · 2 PA
10.1%
H 64·K 64
Freddie Freeman
LHB·3 HR / 97 PA·Brl 17.8%
vs SP: 17-for-49 · .347 · 1 HR · 8 K · 51 PA
10.1%
H 69·K 49
Santiago Espinal
RHB·0 HR / 20 PA·Brl 0.0%
9.9%
H 64·K 63
Alex Freeland
SHB·1 HR / 65 PA·Brl 10.5%
9.7%
H 63·K 72
Alex Call
RHB·0 HR / 31 PA·Brl 0.0%
vs SP: 3-for-6 · .500 · 0 HR · 1 K · 6 PA
9.6%
H 61·K 51
Home Lineup
San Francisco Giants
Willy Adames
RHB·3 HR / 103 PA·Brl 12.3%
vs SP: 2-for-7 · .286 · 0 HR · 1 K · 9 PA
11.4%
H 55·K 69
Heliot Ramos
RHB·2 HR / 89 PA·Brl 16.7%
vs SP: 3-for-8 · .375 · 0 HR · 2 K · 11 PA
11.4%
H 67·K 68
Eric Haase
RHB·0 HR / 0 PA
11.3%
H 62·K 66
Casey Schmitt
RHB·2 HR / 77 PA·Brl 13.5%
vs SP: 0-for-3 · .000 · 0 HR · 0 K · 5 PA
11.3%
H 61·K 68
Christian Koss
RHB·0 HR / 7 PA·Brl 0.0%
11.0%
H 62·K 66
Drew Gilbert
LHB·1 HR / 24 PA·Brl 14.3%
vs SP: 1-for-4 · .250 · 0 HR · 1 K · 5 PA
10.8%
H 63·K 64
Jerar Encarnacion
RHB·0 HR / 25 PA·Brl 5.0%
10.2%
H 62·K 66
Patrick Bailey
SHB·1 HR / 63 PA·Brl 4.7%
vs SP: 3-for-11 · .273 · 1 HR · 3 K · 11 PA
10.1%
H 61·K 59
Rafael Devers
LHB·2 HR / 102 PA·Brl 9.5%
vs SP: 7-for-27 · .259 · 0 HR · 10 K · 30 PA
9.4%
H 61·K 69
Matt Chapman
RHB·1 HR / 102 PA·Brl 4.1%
vs SP: 4-for-17 · .235 · 1 HR · 7 K · 21 PA
9.4%
H 67·K 58
Jung Hoo Lee
LHB·1 HR / 93 PA·Brl 1.4%
vs SP: 2-for-8 · .250 · 0 HR · 2 K · 9 PA
9.0%
H 64·K 56
Luis Arraez
LHB·0 HR / 98 PA·Brl 0.0%
vs SP: 3-for-14 · .214 · 0 HR · 1 K · 14 PA
7.8%
H 62·K 52
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.