Matchup · Wednesday, April 22, 2026
Philadelphia Phillies
at Chicago Cubs
7:40 PM ET · 4:40 PM PTWrigley Field, Chicagoopen roof
The Headline
Kyle Schwarber enters this game with a 16.0% model-estimated probability of homering at Wrigley 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 factor104
RHB HR factor103
Probable Starters
Away Starter · LHP
Kyle Backhus
HR VulnerabilityVery HR-prone
Contact Quality AllowedBelow average
ERA5.40
WHIP1.20
IP6.2
HR/92.70
K/912.2
xwOBA0.300
Barrel%11.1%
Hard-hit%38.9%
Home Starter · LHP
Matthew Boyd
HR VulnerabilityGood
Contact Quality AllowedGetting barreled
ERA6.75
WHIP1.18
IP9.1
HR/91.00
K/916.4
xwOBA0.333
Barrel%17.6%
Hard-hit%58.8%
The Lineups
Each batter's probability of homering in the game, ranked.
High
Medium
Low confidence
Away Lineup
Philadelphia Phillies
vs Matthew Boyd
Kyle Schwarber
LHB·8 HR / 102 PA·Brl 23.9%
vs SP: 0-for-1 · .000 · 0 HR · 0 K · 3 PA
16.0%
H 57·K 77
Bryce Harper
LHB·5 HR / 96 PA·Brl 13.6%
vs SP: 1-for-3 · .333 · 0 HR · 1 K · 3 PA
13.5%
H 68·K 58
Brandon Marsh
LHB·2 HR / 80 PA·Brl 5.4%
12.4%
H 60·K 70
Otto Kemp
RHB·0 HR / 0 PA
vs SP: 1-for-3 · .333 · 0 HR · 0 K · 3 PA
12.3%
H 62·K 67
Edmundo Sosa
RHB·1 HR / 34 PA·Brl 4.5%
vs SP: 1-for-3 · .333 · 0 HR · 0 K · 3 PA
12.0%
H 60·K 65
Rafael Marchán
SHB·1 HR / 32 PA·Brl 4.2%
12.0%
H 55·K 67
Dylan Moore
RHB·0 HR / 10 PA·Brl 0.0%
vs SP: 0-for-2 · .000 · 0 HR · 1 K · 2 PA
11.6%
H 62·K 67
Trea Turner
RHB·2 HR / 102 PA·Brl 4.2%
vs SP: 1-for-3 · .333 · 0 HR · 0 K · 3 PA
11.6%
H 57·K 60
Adolis García
RHB·2 HR / 93 PA·Brl 11.3%
vs SP: 0-for-6 · .000 · 0 HR · 2 K · 7 PA
11.5%
H 56·K 70
J.T. Realmuto
RHB·1 HR / 61 PA·Brl 2.6%
vs SP: 1-for-6 · .167 · 0 HR · 2 K · 6 PA
11.3%
H 62·K 56
Bryson Stott
LHB·0 HR / 67 PA·Brl 5.8%
10.1%
H 63·K 59
Alec Bohm
RHB·1 HR / 88 PA·Brl 0.0%
vs SP: 2-for-3 · .667 · 0 HR · 0 K · 3 PA
9.9%
H 55·K 66
Home Lineup
Chicago Cubs
vs Kyle Backhus
Dansby Swanson
RHB·5 HR / 95 PA·Brl 15.1%
vs SP: 1-for-1 · 1.000 · 1 HR · 0 K · 1 PA
15.9%
H 63·K 65
Moisés Ballesteros
LHB·3 HR / 51 PA·Brl 13.9%
15.0%
H 65·K 57
Ian Happ
SHB·6 HR / 98 PA·Brl 18.4%
vs SP: 0-for-1 · .000 · 0 HR · 1 K · 1 PA
14.8%
H 68·K 71
Matt Shaw
RHB·2 HR / 62 PA·Brl 8.7%
vs SP: 0-for-1 · .000 · 0 HR · 0 K · 1 PA
13.2%
H 64·K 65
Carson Kelly
RHB·2 HR / 69 PA·Brl 14.0%
13.2%
H 67·K 60
Nico Hoerner
RHB·4 HR / 107 PA·Brl 3.8%
vs SP: 1-for-1 · 1.000 · 0 HR · 0 K · 1 PA
12.9%
H 72·K 54
Miguel Amaya
RHB·1 HR / 44 PA·Brl 3.8%
vs SP: 0-for-1 · .000 · 0 HR · 0 K · 1 PA
12.1%
H 63·K 67
Seiya Suzuki
RHB·1 HR / 48 PA·Brl 0.0%
vs SP: 1-for-2 · .500 · 0 HR · 1 K · 2 PA
11.8%
H 63·K 68
Michael Conforto
LHB·0 HR / 31 PA·Brl 7.1%
11.6%
H 64·K 72
Pete Crow-Armstrong
LHB·1 HR / 97 PA·Brl 5.0%
vs SP: 0-for-1 · .000 · 0 HR · 0 K · 1 PA
11.5%
H 59·K 67
Alex Bregman
RHB·2 HR / 107 PA·Brl 5.3%
vs SP: 0-for-2 · .000 · 0 HR · 1 K · 2 PA
10.5%
H 63·K 58
Michael Busch
LHB·0 HR / 93 PA·Brl 3.3%
vs SP: 0-for-1 · .000 · 0 HR · 1 K · 1 PA
10.5%
H 61·K 66
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.