← 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
5
Lines priced
61
Best bets
9
Leans
0
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Sebastian Aho
CAR vs VAN · 6:00 PM CT · F
UNDER 2.5
Price+105
Model53.8%
Book45.5%
EV+10.3%
Fair-116
Stake2.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.30 SOG · 19.9 min (3.3 PP) W 1 SOG · +1.05u
Dmitry Orlov
CAR vs VAN · 6:00 PM CT · D
UNDER 1.5
Price+115
Model50.9%
Book43.4%
EV+9.4%
Fair-104
Stake2.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.49 SOG · 21.5 min (0.2 PP) W 0 SOG · +1.15u
Jack Roslovic
CAR vs VAN · 6:00 PM CT · F
UNDER 1.5
Price+140
Model45.2%
Book39.1%
EV+8.5%
Fair+121
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.69 SOG · 16.0 min (1.6 PP) W 1 SOG · +1.40u
Brent Burns
CAR vs VAN · 6:00 PM CT · D
UNDER 2.5
Price-155
Model65.8%
Book56.7%
EV+8.2%
Fair-192
Stake3.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.84 SOG · 21.8 min (1.9 PP) W 0 SOG · +0.65u
Martin Necas
CAR vs VAN · 6:00 PM CT · F
UNDER 2.5
Price-110
Model56.6%
Book49.0%
EV+8.1%
Fair-130
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.18 SOG · 17.0 min (3.3 PP) W 1 SOG · +0.91u
Jakob Chychrun
WSH vs MTL · 6:00 PM CT · D
UNDER 2.5
Price-115
Model57.2%
Book50.0%
EV+6.9%
Fair-134
Stake2.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.22 SOG · 21.7 min (3.4 PP) W 1 SOG · +0.87u
Quinn Hughes
VAN @ CAR · 6:00 PM CT · D
UNDER 2.5
Price-115
Model57.1%
Book50.0%
EV+6.7%
Fair-133
Stake1.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.22 SOG · 25.4 min (3.3 PP) role change W 1 SOG · +0.87u
Seth Jarvis
CAR vs VAN · 6:00 PM CT · F
UNDER 2.5
Price-120
Model57.6%
Book51.0%
EV+5.7%
Fair-136
Stake1.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.19 SOG · 19.5 min (3.3 PP) L 4 SOG · -1.00u
Alex Ovechkin
WSH vs MTL · 6:00 PM CT · F
UNDER 3.5
Price-110
Model55.3%
Book48.5%
EV+5.5%
Fair-124
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 3.19 SOG · 18.3 min (4.9 PP) W 1 SOG · +0.91u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
DET vs CHI 6:00 PM CT 1.5 -185 +135 60.4% 58.5% 1.96 25.0 (3.1) — -9.9% 1 SOG
CHI @ DET 6:00 PM CT 1.5 -155 +115 56.7% 57.6% 2.01 15.8 (1.4) — -5.3% 1 SOG
CHI @ DET 6:00 PM CT 1.5 -170 +130 59.2% 57.4% 1.91 16.8 (2.5) — -8.9% 0 SOG
CHI @ DET 6:00 PM CT 1.5 -145 +110 55.4% 56.5% 1.97 14.3 (2.0) — -4.5% 7 SOG
DET vs CHI 6:00 PM CT 2.5 -130 +100 53.1% 49.2% 2.57 17.1 (3.0) — -12.9% 2 SOG
DET vs CHI 6:00 PM CT 2.5 -120 -110 51.0% 46.9% 2.45 17.4 (3.1) — -14.1% 1 SOG
CHI @ DET 6:00 PM CT 2.5 +100 -135 46.5% 46.4% 2.57 20.2 (2.6) — -7.1% 1 SOG
DET vs CHI 6:00 PM CT 2.5 +130 -175 40.6% 38.3% 2.16 18.5 (3.1) — -12.0% 3 SOG
CHI @ DET 6:00 PM CT 2.5 +125 -170 41.4% 38.1% 2.11 24.4 (2.4) — -14.3% 0 SOG
DET vs CHI 6:00 PM CT 3.5 +135 -180 39.8% 35.0% 2.82 20.0 (3.1) — -17.7% 2 SOG
WSH vs MTL 6:00 PM CT 1.5 -195 +145 61.8% 60.1% 2.04 23.1 (3.7) — -9.1% 4 SOG
WSH vs MTL 6:00 PM CT 1.5 -175 +130 59.4% 59.5% 2.07 18.0 (3.6) — -6.6% 1 SOG
MTL @ WSH 6:00 PM CT 2.5 -185 +135 60.4% 58.1% 3.01 18.5 (2.9) — -10.5% 6 SOG
WSH vs MTL 6:00 PM CT 1.5 -175 +130 59.4% 58.1% 1.98 16.6 (2.4) — -8.8% 0 SOG
MTL @ WSH 6:00 PM CT 1.5 -175 +130 59.4% 57.8% 1.97 19.7 (3.0) — -9.2% 6 SOG
MTL @ WSH 6:00 PM CT 1.5 -155 +120 57.2% 56.9% 1.93 25.1 (1.9) — -6.5% 2 SOG
WSH vs MTL 6:00 PM CT 1.5 -165 +120 57.8% 56.6% 1.91 17.9 (1.8) — -9.1% 0 SOG
WSH vs MTL 6:00 PM CT 1.5 -170 +125 58.6% 55.3% 1.82 17.2 (0.2) — -12.2% 0 SOG
MTL @ WSH 6:00 PM CT 1.5 -120 -115 50.5% 49.4% 1.66 13.4 (1.6) — -9.4% 1 SOG
MTL @ WSH 6:00 PM CT 1.5 -120 -110 51.0% 48.9% 1.60 15.4 (1.0) — -10.4% 3 SOG
WSH vs MTL 6:00 PM CT 3.5 -125 -110 51.5% 44.7% 3.19 18.3 (4.9) UNDER best +5.5% W 1 SOG · +0.91u
WSH vs MTL 6:00 PM CT 2.5 -115 -115 50.0% 42.8% 2.22 21.7 (3.4) UNDER best +6.9% W 1 SOG · +0.87u
WSH vs MTL 6:00 PM CT 2.5 +110 -150 44.3% 42.6% 2.35 19.8 (3.3) — -10.6% 2 SOG
VAN @ CAR 6:00 PM CT 1.5 -180 +135 60.2% 57.1% 1.85 18.0 (3.1) — -11.2% 3 SOG
VAN @ CAR 6:00 PM CT 1.5 -170 +130 59.2% 56.8% 1.86 17.8 (3.1) — -9.7% 2 SOG
CAR vs VAN 6:00 PM CT 1.5 -185 +140 60.9% 54.8% 1.69 16.0 (1.6) UNDER best +8.5% W 1 SOG · +1.40u
VAN @ CAR 6:00 PM CT 1.5 -135 +100 53.5% 53.2% 1.82 16.2 (2.5) — -7.4% 1 SOG
VAN @ CAR 6:00 PM CT 1.5 -130 -105 52.5% 53.1% 1.84 18.4 (2.8) — -6.1% 0 SOG
CAR vs VAN 6:00 PM CT 1.5 -155 +115 56.7% 49.1% 1.49 21.5 (0.2) UNDER best +9.4% W 0 SOG · +1.15u
CAR vs VAN 6:00 PM CT 2.5 -140 +105 54.5% 46.2% 2.30 19.9 (3.3) UNDER best +10.3% W 1 SOG · +1.05u
CAR vs VAN 6:00 PM CT 2.5 -120 -110 51.0% 43.4% 2.18 17.0 (3.3) UNDER best +8.1% W 1 SOG · +0.91u
VAN @ CAR 6:00 PM CT 2.5 -115 -115 50.0% 42.9% 2.22 25.4 (3.3) UNDER best +6.7% W 1 SOG · +0.87u
CAR vs VAN 6:00 PM CT 2.5 -110 -120 49.0% 42.4% 2.19 19.5 (3.3) UNDER best +5.7% L 4 SOG · -1.00u
CAR vs VAN 6:00 PM CT 2.5 +105 -140 45.5% 41.6% 2.24 17.1 (3.3) — -14.8% 3 SOG
VAN @ CAR 6:00 PM CT 2.5 +140 -185 39.1% 38.5% 2.23 18.3 (3.0) — -7.5% 0 SOG
CAR vs VAN 6:00 PM CT 2.5 +115 -155 43.4% 34.2% 1.84 21.8 (1.9) UNDER best +8.2% W 0 SOG · +0.65u
WPG vs LAK 7:00 PM CT 2.5 -160 +120 57.5% 56.9% 2.95 20.1 (3.3) — -7.5% 3 SOG
LAK @ WPG 7:00 PM CT 2.5 -175 +130 59.4% 56.7% 2.90 20.5 (2.5) — -10.9% 2 SOG
WPG vs LAK 7:00 PM CT 1.5 -150 +110 55.8% 54.0% 1.80 14.6 (1.8) — -10.0% 2 SOG
LAK @ WPG 7:00 PM CT 2.5 -150 +110 55.8% 54.0% 2.84 19.9 (3.0) — -10.1% 4 SOG
WPG vs LAK 7:00 PM CT 1.5 -130 -105 52.5% 52.4% 1.81 16.5 (2.4) — -7.4% 2 SOG
WPG vs LAK 7:00 PM CT 1.5 -115 -115 50.0% 47.6% 1.53 22.8 (1.8) — -11.0% 1 SOG
WPG vs LAK 7:00 PM CT 2.5 -110 -120 49.0% 45.9% 2.47 16.7 (2.9) — -12.4% 1 SOG
LAK @ WPG 7:00 PM CT 2.5 +120 -155 42.8% 41.0% 2.28 17.9 (1.6) — -9.8% 1 SOG
LAK @ WPG 7:00 PM CT 2.5 +130 -175 40.6% 39.6% 2.23 17.4 (0.9) — -9.0% 0 SOG
WPG vs LAK 7:00 PM CT 2.5 +135 -180 39.8% 39.1% 2.23 20.9 (3.3) — -8.1% 1 SOG
LAK @ WPG 7:00 PM CT 2.5 +145 -195 38.2% 37.0% 2.16 16.3 (0.6) — -9.5% 0 SOG
LAK @ WPG 7:00 PM CT 2.5 +140 -185 39.1% 36.8% 2.10 19.1 (2.3) — -11.8% 4 SOG
WPG vs LAK 7:00 PM CT 2.5 +145 -200 38.0% 35.9% 2.04 18.7 (3.3) — -12.0% 0 SOG
WPG vs LAK 7:00 PM CT 2.5 +145 -200 38.0% 34.0% 1.94 22.5 (3.2) — -16.7% 1 SOG
SJS @ UTA 8:00 PM CT 1.5 -200 +150 62.5% 63.7% 2.27 21.0 (3.2) — -4.5% 2 SOG
SJS @ UTA 8:00 PM CT 1.5 -195 +145 61.8% 62.5% 2.20 17.7 (2.1) — -5.4% 2 SOG
UTA vs SJS 8:00 PM CT 1.5 -195 +145 61.8% 61.2% 2.11 25.8 (3.4) — -7.5% 2 SOG
UTA vs SJS 8:00 PM CT 1.5 -185 +135 60.4% 58.7% 1.95 13.5 (1.5) — -9.5% 3 SOG
UTA vs SJS 8:00 PM CT 2.5 -170 +130 59.2% 58.3% 3.06 19.0 (3.5) — -7.5% 2 SOG
SJS @ UTA 8:00 PM CT 1.5 -155 +115 56.7% 53.0% 1.71 17.9 (2.0) — -12.8% 2 SOG
SJS @ UTA 8:00 PM CT 2.5 -135 +105 54.1% 52.7% 2.81 18.9 (3.2) — -8.3% 1 SOG
UTA vs SJS 8:00 PM CT 1.5 -135 +105 54.1% 52.4% 1.76 15.6 (1.0) — -8.7% 3 SOG
UTA vs SJS 8:00 PM CT 2.5 +110 -150 44.3% 44.7% 2.51 19.5 (3.3) — -6.1% 2 SOG
SJS @ UTA 8:00 PM CT 2.5 +120 -160 42.5% 43.9% 2.50 15.4 (3.0) — -3.4% 2 SOG
UTA vs SJS 8:00 PM CT 2.5 +115 -150 43.7% 43.5% 2.41 17.8 (3.2) — -6.6% 1 SOG

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