← Models / SOG Model

How the Shots on Goal Model Works

What it does

For every player Hard Rock Bet posts a shots-on-goal line for, the model simulates the game 10,000 times and counts how often the player goes over. That gives a probability for every shot count (0, 1, 2 … 10+) — the bars under each pick — and the probability of going over Hard Rock's line.

Model vs Sim: the probability the picks use (Model) blends the simulation with Hard Rock's own de-vigged price, weighted 35% simulation / 65% market. In a two-season backtest the simulation alone was about as accurate as the closing line, but the blend was measurably more accurate than either — each knows things the other doesn't. The weight is re-fitted every week on graded results. Sim (in each row's detail) is the raw simulation.

How a simulation works

  • Game script — each simulated game draws how many power plays each team gets, how the score unfolds (from Hard Rock's moneyline and total), whether a trailing team pulls its goalie late, and whether it goes to 3-on-3 overtime. Every player on a team shares the same script, so a power-play-heavy night lifts the whole PP unit together.
  • Ice time — the player's share of his team's even-strength, power-play, penalty-kill, 6-on-5 and overtime minutes, from his recent deployment, plus a realistic random swing drawn from real games (including nights cut short by injury).
  • Shot rate — shots per 60 minutes in each situation, estimated from his history and pulled toward forward/defenseman norms when the sample is small. Adjusted for the opponent's shot suppression, the arena's scorekeeper tendencies, home ice, back-to-backs, and score state (trailing teams shoot more).

Reading the board

  • Book — Hard Rock's probability for the over with the vig removed.
  • Model — the model's probability for the over (simulation blended with the market, see above).
  • Proj — average simulated shots; TOI — expected minutes (power-play minutes in brackets).
  • EV — expected profit per 1 unit bet at Hard Rock's price on the model's side.
  • Fair — the price at which the bet would break even by the model.

Best bets & leans

Best bet: EV of at least 5% and the model at least 4 percentage points away from the de-vigged line. Lean: EV of at least 2%. Only lines with both an over and an under price can be picks. Stake is 0.25× Kelly as a share of bankroll — a sizing guide, not a promise.

Settlement & timing

Graded like the sportsbooks grade it: overtime counts, shootouts don't, and a player who doesn't take a shift is a void. Predictions refresh every 30 minutes on game days as lines move and lock at puck drop; the locked prediction is what gets graded. Every pick is tracked on Pick history and Performance, including how the line moved after the pick (CLV).

Honest expectations

Shots on goal are noisy — a 3-shot-per-game player still goes under 2.5 often. The model aims to be well calibrated, not to call every game. Results before live tracking come from a walk-forward backtest priced at Hard Rock's closing lines, using only information available before each game.

Informational only. Not betting advice.

Games
10
Lines priced
133
Best bets
8
Leans
11
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Jakob Chychrun
WSH @ CHI · 7:30 PM CT · D
UNDER 2.5
Price+100
Model55.5%
Book46.9%
EV+11.1%
Fair-125
Stake2.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.23 SOG · 21.1 min (2.7 PP) W 1 SOG · +1.00u
Brent Burns
CAR vs NYI · 6:30 PM CT · D
UNDER 2.5
Price-145
Model64.3%
Book55.4%
EV+8.6%
Fair-180
Stake3.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.89 SOG · 20.6 min (1.3 PP) L 4 SOG · -1.00u
Seth Jarvis
CAR vs NYI · 6:30 PM CT · F
UNDER 2.5
Price-115
Model57.2%
Book50.0%
EV+6.9%
Fair-133
Stake2.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.17 SOG · 18.0 min (3.1 PP) W 1 SOG · +0.87u
Patrik Laine
MTL vs BUF · 6:00 PM CT · F
UNDER 2.5
Price-105
Model54.3%
Book48.0%
EV+6.0%
Fair-119
Stake1.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.37 SOG · 15.9 min (3.1 PP) L 5 SOG · -1.00u
David Pastrnak
BOS @ CGY · 8:00 PM CT · F
UNDER 3.5
Price+120
Model48.1%
Book42.8%
EV+5.9%
Fair+108
Stake1.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 3.63 SOG · 19.7 min (3.4 PP) L 4 SOG · -1.00u
Dmitry Orlov
CAR vs NYI · 6:30 PM CT · D
UNDER 1.5
Price+105
Model51.6%
Book45.5%
EV+5.9%
Fair-107
Stake1.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.50 SOG · 19.8 min (0.1 PP) W 0 SOG · +1.05u
Aliaksei Protas
WSH @ CHI · 7:30 PM CT · F
UNDER 1.5
Price+140
Model43.9%
Book39.1%
EV+5.4%
Fair+128
Stake1.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.78 SOG · 16.5 min (0.2 PP) L 2 SOG · -1.00u
Rasmus Andersson
CGY vs BOS · 8:00 PM CT · D
UNDER 1.5
Price+145
Model43.0%
Book38.2%
EV+5.2%
Fair+133
Stake0.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.80 SOG · 23.6 min (2.5 PP) role change L 2 SOG · -1.00u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
MTL vs BUF 6:00 PM CT 1.5 -195 +145 61.8% 62.5% 2.20 19.1 (3.2) — -5.5% 0 SOG
MTL vs BUF 6:00 PM CT 1.5 -160 +120 57.5% 58.9% 2.08 24.5 (2.6) — -4.2% 5 SOG
MTL vs BUF 6:00 PM CT 2.5 -160 +120 57.5% 58.9% 3.20 18.1 (3.1) — -4.3% 2 SOG
BUF @ MTL 6:00 PM CT 1.5 -175 +130 59.4% 56.7% 1.87 13.8 (1.6) — -10.9% 1 SOG
MTL vs BUF 6:00 PM CT 1.5 -135 +105 54.1% 55.8% 1.95 13.8 (1.7) — -2.8% 0 SOG
BUF @ MTL 6:00 PM CT 1.5 -160 +120 57.5% 54.8% 1.77 23.9 (2.4) — -10.9% 1 SOG
MTL vs BUF 6:00 PM CT 1.5 -120 -110 51.0% 52.5% 1.84 16.6 (3.1) — -3.8% 2 SOG
BUF @ MTL 6:00 PM CT 2.5 +100 -130 46.9% 45.8% 2.49 17.6 (2.5) — -8.4% 0 SOG
MTL vs BUF 6:00 PM CT 2.5 -125 -105 52.0% 45.7% 2.37 15.9 (3.1) UNDER best +6.0% L 5 SOG · -1.00u
BUF @ MTL 6:00 PM CT 2.5 -105 -125 48.0% 44.7% 2.40 18.4 (2.4) — -12.7% 2 SOG
BUF @ MTL 6:00 PM CT 2.5 +125 -170 41.4% 42.5% 2.44 17.3 (2.8) — -4.3% 3 SOG
BUF @ MTL 6:00 PM CT 3.5 +105 -140 45.5% 41.6% 3.17 18.7 (2.9) — -14.8% 0 SOG
BUF @ MTL 6:00 PM CT 2.5 +145 -195 38.2% 37.5% 2.15 14.9 (2.7) — -8.2% 2 SOG
CBJ @ TBL 6:00 PM CT 1.5 -185 +140 60.9% 59.4% 2.01 16.8 (2.5) — -8.5% 2 SOG
CBJ @ TBL 6:00 PM CT 1.5 -175 +130 59.4% 59.0% 2.01 17.0 (1.5) — -7.2% 2 SOG
CBJ @ TBL 6:00 PM CT 1.5 -175 +130 59.4% 58.5% 1.98 16.1 (1.3) — -8.1% 2 SOG
TBL vs CBJ 6:00 PM CT 2.5 -155 +120 57.2% 58.4% 3.13 19.9 (4.1) — -3.9% 5 SOG
CBJ @ TBL 6:00 PM CT 2.5 -170 +130 59.2% 57.4% 2.99 26.0 (3.0) — -8.8% 2 SOG
TBL vs CBJ 6:00 PM CT 1.5 -175 +130 59.4% 56.2% 1.84 17.3 (1.6) — -11.7% 0 SOG
TBL vs CBJ 6:00 PM CT 1.5 -145 +110 55.4% 56.1% 1.96 17.0 (1.6) — -5.1% 2 SOG
CBJ @ TBL 6:00 PM CT 1.5 -170 +125 58.6% 55.8% 1.84 17.1 (2.5) — -11.5% 2 SOG
TBL vs CBJ 6:00 PM CT 2.5 -120 -110 51.0% 51.1% 2.76 19.5 (4.1) — -6.4% 3 SOG
TBL vs CBJ 6:00 PM CT 2.5 -125 -105 52.0% 50.6% 2.68 21.2 (3.7) — -8.9% 1 SOG
CBJ @ TBL 6:00 PM CT 2.5 -110 -120 49.0% 46.0% 2.45 18.2 (2.7) — -12.2% 6 SOG
TBL vs CBJ 6:00 PM CT 3.5 +105 -140 45.5% 43.4% 3.32 21.0 (4.2) — -11.1% 4 SOG
CBJ @ TBL 6:00 PM CT 2.5 +130 -175 40.6% 40.6% 2.33 19.5 (2.7) — -6.5% 6 SOG
PIT vs LAK 6:00 PM CT 1.5 -160 +120 57.5% 58.4% 2.04 18.2 (3.0) — -5.1% 2 SOG
PIT vs LAK 6:00 PM CT 1.5 -170 +125 58.6% 56.4% 1.88 15.0 (2.4) — -10.4% 4 SOG
LAK @ PIT 6:00 PM CT 1.5 -140 +105 54.5% 55.6% 1.98 18.3 (1.7) — -4.7% 2 SOG
LAK @ PIT 6:00 PM CT 2.5 -145 +110 55.4% 54.6% 2.86 19.4 (3.3) — -7.8% 6 SOG
PIT vs LAK 6:00 PM CT 2.5 -130 -105 52.5% 52.7% 2.82 19.9 (3.2) — -6.8% 6 SOG
PIT vs LAK 6:00 PM CT 2.5 -140 +105 54.5% 51.5% 2.68 19.6 (3.0) — -11.8% 2 SOG
PIT vs LAK 6:00 PM CT 2.5 +100 -130 46.9% 43.8% 2.34 19.0 (2.8) — -12.3% 2 SOG
LAK @ PIT 6:00 PM CT 2.5 +105 -140 45.5% 42.3% 2.29 16.0 (0.9) — -13.2% 3 SOG
PIT vs LAK 6:00 PM CT 2.5 +120 -160 42.5% 40.2% 2.26 23.6 (3.1) — -11.5% 3 SOG
LAK @ PIT 6:00 PM CT 3.5 +135 -180 39.8% 37.1% 2.99 19.4 (2.8) — -12.8% 2 SOG
LAK @ PIT 6:00 PM CT 2.5 +135 -180 39.8% 36.8% 2.07 16.4 (2.2) — -13.5% 4 SOG
PIT vs LAK 6:00 PM CT 2.5 +150 -200 37.5% 35.2% 2.04 24.1 (2.6) — -12.1% 2 SOG
LAK @ PIT 6:00 PM CT 2.5 +150 -200 37.5% 34.2% 1.99 17.2 (2.5) — -14.6% 2 SOG
CAR vs NYI 6:30 PM CT 2.5 -160 +120 57.5% 52.9% 2.68 18.6 (3.2) UNDER lean +3.7% W 0 SOG · +1.20u
CAR vs NYI 6:30 PM CT 2.5 -160 +120 57.5% 52.8% 2.68 17.5 (3.1) UNDER lean +3.8% W 1 SOG · +1.20u
CAR vs NYI 6:30 PM CT 1.5 -150 +110 55.8% 52.0% 1.68 15.9 (0.2) — -13.3% 5 SOG
CAR vs NYI 6:30 PM CT 1.5 -120 -110 51.0% 49.3% 1.63 13.8 (1.2) — -9.7% 0 SOG
CAR vs NYI 6:30 PM CT 1.5 -140 +105 54.5% 48.4% 1.50 19.8 (0.1) UNDER best +5.9% W 0 SOG · +1.05u
NYI @ CAR 6:30 PM CT 2.5 +100 -135 46.5% 44.3% 2.40 19.9 (2.9) — -11.5% 4 SOG
CAR vs NYI 6:30 PM CT 2.5 -115 -115 50.0% 42.8% 2.17 18.0 (3.1) UNDER best +6.9% W 1 SOG · +0.87u
NYI @ CAR 6:30 PM CT 2.5 +125 -165 41.7% 40.1% 2.26 19.0 (2.6) — -9.8% 1 SOG
NYI @ CAR 6:30 PM CT 2.5 +140 -190 38.9% 37.4% 2.14 18.6 (2.5) — -10.2% 1 SOG
NYI @ CAR 6:30 PM CT 2.5 +140 -190 38.9% 36.4% 2.06 16.6 (2.4) — -12.7% 6 SOG
CAR vs NYI 6:30 PM CT 2.5 +110 -145 44.6% 35.7% 1.89 20.6 (1.3) UNDER best +8.6% L 4 SOG · -1.00u
NYI @ CAR 6:30 PM CT 2.5 +145 -195 38.2% 35.4% 2.03 22.9 (2.7) — -13.2% 1 SOG
CAR vs NYI 6:30 PM CT 2.5 +155 -210 36.7% 30.7% 1.75 19.3 (3.2) UNDER lean +2.2% W 1 SOG · +0.48u
STL vs NJD 7:00 PM CT 1.5 -170 +130 59.2% 58.2% 1.95 20.7 (3.2) — -7.6% 1 SOG
NJD @ STL 7:00 PM CT 1.5 -190 +145 61.6% 57.7% 1.89 16.3 (2.7) UNDER lean +3.6% L 2 SOG · -1.00u
STL vs NJD 7:00 PM CT 1.5 -150 +115 56.3% 57.6% 2.03 24.0 (2.7) — -4.0% 0 SOG
STL vs NJD 7:00 PM CT 1.5 -140 +105 54.5% 55.8% 1.94 17.2 (2.7) — -4.4% 2 SOG
STL vs NJD 7:00 PM CT 1.5 -150 +115 56.3% 55.6% 1.88 16.2 (1.4) — -7.3% 1 SOG
STL vs NJD 7:00 PM CT 1.5 -130 +100 53.1% 52.8% 1.81 17.9 (1.9) — -6.5% 2 SOG
NJD @ STL 7:00 PM CT 1.5 -135 +100 53.5% 51.1% 1.69 15.1 (1.0) — -11.1% 4 SOG
STL vs NJD 7:00 PM CT 2.5 -115 -115 50.0% 49.5% 2.69 17.8 (2.9) — -7.4% 3 SOG
NJD @ STL 7:00 PM CT 2.5 -125 -110 51.5% 49.3% 2.59 20.1 (3.0) — -11.3% 2 SOG
NJD @ STL 7:00 PM CT 2.5 -125 -105 52.0% 48.5% 2.50 19.8 (2.9) — -12.7% 5 SOG
NJD @ STL 7:00 PM CT 2.5 -125 -105 52.0% 48.3% 2.50 18.3 (3.0) — -13.1% 1 SOG
NJD @ STL 7:00 PM CT 3.5 -120 -110 51.0% 46.7% 3.42 19.9 (3.2) — -14.3% 2 SOG
NJD @ STL 7:00 PM CT 3.5 +120 -160 42.5% 37.3% 2.92 17.7 (1.6) — -18.0% 2 SOG
STL vs NJD 7:00 PM CT 2.5 +135 -180 39.8% 37.0% 2.12 19.1 (2.8) — -13.1% 1 SOG
NSH vs NYR 7:00 PM CT 1.5 -170 +130 59.2% 60.0% 2.10 14.0 (1.7) — -4.8% 6 SOG
NSH vs NYR 7:00 PM CT 1.5 -185 +135 60.4% 59.5% 2.01 18.9 (3.1) — -8.3% 1 SOG
NSH vs NYR 7:00 PM CT 2.5 -170 +125 58.6% 58.2% 3.08 18.2 (3.3) — -7.6% 2 SOG
NYR @ NSH 7:00 PM CT 1.5 -180 +135 60.2% 56.2% 1.80 23.7 (2.9) UNDER lean +2.9% L 3 SOG · -1.00u
NYR @ NSH 7:00 PM CT 1.5 -155 +115 56.7% 53.0% 1.73 15.0 (0.9) — -12.8% 2 SOG
NSH vs NYR 7:00 PM CT 2.5 -130 +100 53.1% 50.6% 2.65 18.2 (3.7) — -10.5% 1 SOG
NSH vs NYR 7:00 PM CT 3.5 -140 +105 54.5% 50.4% 3.56 18.9 (3.3) — -13.7% 5 SOG
NYR @ NSH 7:00 PM CT 2.5 -120 -110 51.0% 47.3% 2.46 20.6 (3.1) — -13.3% 2 SOG
NYR @ NSH 7:00 PM CT 2.5 -110 -125 48.5% 45.5% 2.38 17.1 (3.0) — -13.2% 2 SOG
NYR @ NSH 7:00 PM CT 2.5 -105 -130 47.5% 43.0% 2.28 16.6 (1.6) — -16.0% 2 SOG
NSH vs NYR 7:00 PM CT 2.5 +100 -130 46.9% 42.5% 2.26 22.6 (1.6) — -15.0% 0 SOG
NYR @ NSH 7:00 PM CT 2.5 +100 -135 46.5% 40.9% 2.16 17.6 (2.9) UNDER lean +2.9% W 2 SOG · +0.74u
NYR @ NSH 7:00 PM CT 2.5 +130 -170 40.9% 39.2% 2.20 15.1 (1.3) — -10.0% 2 SOG
CHI vs WSH 7:30 PM CT 1.5 -140 +105 54.5% 56.9% 2.05 15.3 (1.5) — -2.5% 2 SOG
WSH @ CHI 7:30 PM CT 1.5 -185 +140 60.9% 56.1% 1.78 16.5 (0.2) UNDER best +5.4% L 2 SOG · -1.00u
WSH @ CHI 7:30 PM CT 1.5 -170 +130 59.2% 56.0% 1.84 17.0 (1.7) — -11.1% 1 SOG
CHI vs WSH 7:30 PM CT 1.5 -140 +105 54.5% 55.6% 1.96 16.5 (2.8) — -4.6% 2 SOG
CHI vs WSH 7:30 PM CT 1.5 -115 -115 50.0% 51.3% 1.80 16.0 (2.6) — -4.2% 2 SOG
CHI vs WSH 7:30 PM CT 2.5 +110 -145 44.6% 46.4% 2.65 20.2 (3.0) — -2.5% 2 SOG
WSH @ CHI 7:30 PM CT 2.5 -125 -105 52.0% 46.3% 2.38 19.1 (2.8) UNDER lean +4.8% L 4 SOG · -1.00u
WSH @ CHI 7:30 PM CT 2.5 -130 +100 53.1% 44.5% 2.23 21.1 (2.7) UNDER best +11.1% W 1 SOG · +1.00u
CHI vs WSH 7:30 PM CT 2.5 +125 -170 41.4% 41.7% 2.35 16.5 (2.2) — -6.2% 1 SOG
WSH @ CHI 7:30 PM CT 2.5 +110 -150 44.3% 40.1% 2.15 18.5 (2.8) — -15.9% 3 SOG
WSH @ CHI 7:30 PM CT 2.5 +110 -150 44.3% 38.9% 2.10 23.0 (3.1) — -18.4% 3 SOG
WSH @ CHI 7:30 PM CT 2.5 +135 -180 39.8% 37.0% 2.10 18.3 (3.0) — -13.0% 1 SOG
CGY vs BOS 8:00 PM CT 1.5 -150 +115 56.3% 57.9% 2.04 19.2 (2.6) — -3.6% 2 SOG
CGY vs BOS 8:00 PM CT 1.5 -195 +145 61.8% 57.1% 1.80 23.6 (2.5) UNDER best +5.2% L 2 SOG · -1.00u
BOS @ CGY 8:00 PM CT 1.5 -150 +115 56.3% 56.3% 1.95 18.7 (2.7) — -6.2% 3 SOG
BOS @ CGY 8:00 PM CT 1.5 -155 +115 56.7% 54.3% 1.81 23.6 (3.1) — -10.7% 3 SOG
BOS @ CGY 8:00 PM CT 1.5 -140 +105 54.5% 53.6% 1.77 15.7 (1.5) — -8.1% 6 SOG
BOS @ CGY 8:00 PM CT 3.5 -155 +120 57.2% 51.9% 3.63 19.7 (3.4) UNDER best +5.9% L 4 SOG · -1.00u
BOS @ CGY 8:00 PM CT 2.5 -125 -110 51.5% 45.5% 2.32 18.2 (3.0) UNDER lean +4.0% W 2 SOG · +0.91u
CGY vs BOS 8:00 PM CT 2.5 +100 -135 46.5% 45.2% 2.47 18.9 (2.3) — -9.6% 1 SOG
CGY vs BOS 8:00 PM CT 3.5 +125 -165 41.7% 40.7% 3.23 19.2 (2.7) — -8.4% 2 SOG
CGY vs BOS 8:00 PM CT 2.5 +130 -170 40.9% 38.6% 2.18 22.7 (2.7) — -11.3% 2 SOG
CGY vs BOS 8:00 PM CT 2.5 +115 -155 43.4% 38.4% 2.09 16.6 (1.1) — -17.5% 0 SOG
CGY vs BOS 8:00 PM CT 2.5 +150 -200 37.5% 36.5% 2.12 17.6 (2.5) — -8.7% 0 SOG
CGY vs BOS 8:00 PM CT 2.5 +145 -195 38.2% 35.4% 2.05 16.6 (2.1) — -13.4% 4 SOG
SEA vs OTT 9:00 PM CT 1.5 -175 +130 59.4% 60.0% 2.08 17.6 (2.3) — -5.7% 5 SOG
SEA vs OTT 9:00 PM CT 1.5 -160 +120 57.5% 57.2% 1.94 18.6 (2.7) — -7.1% 0 SOG
OTT @ SEA 9:00 PM CT 1.5 -185 +135 60.4% 55.9% 1.76 16.8 (1.3) UNDER lean +3.7% L 2 SOG · -1.00u
OTT @ SEA 9:00 PM CT 1.5 -170 +125 58.6% 55.5% 1.80 23.6 (2.9) — -11.9% 3 SOG
OTT @ SEA 9:00 PM CT 1.5 -135 +100 53.5% 54.6% 1.88 17.8 (1.8) — -5.0% 0 SOG
SEA vs OTT 9:00 PM CT 1.5 -135 +105 54.1% 51.9% 1.71 15.0 (2.0) — -9.6% 1 SOG
OTT @ SEA 9:00 PM CT 3.5 -130 +100 53.1% 47.9% 3.40 17.6 (2.9) UNDER lean +4.2% L 5 SOG · -1.00u
SEA vs OTT 9:00 PM CT 2.5 -120 -110 51.0% 47.7% 2.53 17.9 (2.9) — -12.5% 5 SOG
SEA vs OTT 9:00 PM CT 2.5 +105 -140 45.5% 43.6% 2.40 22.4 (2.6) — -10.6% 5 SOG
SEA vs OTT 9:00 PM CT 1.5 -110 -120 49.0% 42.8% 1.33 13.9 (1.7) UNDER lean +4.9% W 0 SOG · +0.83u
OTT @ SEA 9:00 PM CT 2.5 +125 -170 41.4% 39.6% 2.23 17.9 (2.8) — -11.0% 2 SOG
OTT @ SEA 9:00 PM CT 2.5 +125 -170 41.4% 39.3% 2.22 18.9 (2.9) — -11.5% 1 SOG
OTT @ SEA 9:00 PM CT 2.5 +140 -190 38.9% 36.5% 2.08 18.0 (2.6) — -12.5% 3 SOG
SEA vs OTT 9:00 PM CT 2.5 +145 -190 38.4% 36.2% 2.07 15.5 (2.5) — -11.2% 3 SOG
OTT @ SEA 9:00 PM CT 2.5 +140 -185 39.1% 36.0% 2.03 23.1 (1.7) — -13.5% 3 SOG
SEA vs OTT 9:00 PM CT 2.5 +145 -195 38.2% 34.6% 1.96 21.5 (3.0) — -15.3% 3 SOG
WPG @ SJS 9:30 PM CT 1.5 -200 +150 62.5% 64.5% 2.33 18.6 (3.5) — -3.3% 4 SOG
WPG @ SJS 9:30 PM CT 1.5 -200 +150 62.5% 62.1% 2.16 16.0 (2.9) — -6.9% 3 SOG
WPG @ SJS 9:30 PM CT 1.5 -165 +125 58.4% 59.2% 2.06 14.1 (1.7) — -5.0% 2 SOG
SJS vs WPG 9:30 PM CT 2.5 -155 +115 56.7% 55.6% 2.97 19.4 (3.0) — -8.5% 6 SOG
SJS vs WPG 9:30 PM CT 1.5 -125 -105 52.0% 52.7% 1.80 19.1 (2.3) — -5.1% 1 SOG
WPG @ SJS 9:30 PM CT 1.5 -140 +105 54.5% 51.9% 1.71 21.6 (1.7) — -11.1% 2 SOG
SJS vs WPG 9:30 PM CT 2.5 -110 -120 49.0% 48.1% 2.61 15.5 (2.7) — -8.2% 3 SOG
WPG @ SJS 9:30 PM CT 2.5 +110 -145 44.6% 44.2% 2.46 20.7 (3.4) — -7.3% 2 SOG
WPG @ SJS 9:30 PM CT 2.5 +105 -135 45.9% 43.8% 2.40 24.2 (3.5) — -10.2% 2 SOG
WPG @ SJS 9:30 PM CT 3.5 +115 -150 43.7% 42.5% 3.29 20.3 (3.4) — -8.6% 9 SOG
SJS vs WPG 9:30 PM CT 2.5 +125 -165 41.7% 40.8% 2.30 20.2 (3.0) — -8.2% 4 SOG
SJS vs WPG 9:30 PM CT 2.5 +135 -180 39.8% 40.3% 2.32 17.6 (1.7) — -5.4% 3 SOG
SJS vs WPG 9:30 PM CT 2.5 +110 -150 44.3% 39.5% 2.14 22.1 (2.2) — -17.2% 4 SOG

Click a row for the shot distribution and model inputs. Hard Rock lines only. Model fitted through 2026-10-18.