← 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
6
Lines priced
76
Best bets
2
Leans
5
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Colin Miller
WPG vs SJS · 7:00 PM CT · D
UNDER 1.5
Price-120
Model58.6%
Book51.0%
EV+7.4%
Fair-141
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.14 SOG · 14.4 min (0.8 PP) W 1 SOG · +0.83u
Cutter Gauthier
ANA @ NSH · 7:00 PM CT · F
UNDER 3.5
Price-130
Model59.5%
Book53.1%
EV+5.3%
Fair-147
Stake1.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.79 SOG · 14.7 min (2.9 PP) L 6 SOG · -1.00u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
UTA vs STL 6:30 PM CT 1.5 -190 +140 61.1% 61.4% 2.17 17.5 (3.2) — -6.3% 0 SOG
UTA vs STL 6:30 PM CT 1.5 -195 +145 61.8% 59.3% 1.92 14.9 (1.6) — -10.4% 3 SOG
UTA vs STL 6:30 PM CT 2.5 -155 +115 56.7% 55.9% 2.94 19.4 (3.7) — -8.0% 1 SOG
STL @ UTA 6:30 PM CT 1.5 -115 -115 50.0% 52.6% 1.94 19.8 (2.9) — -1.7% 3 SOG
UTA vs STL 6:30 PM CT 2.5 -130 +100 53.1% 51.3% 2.63 19.5 (3.6) — -9.3% 1 SOG
STL @ UTA 6:30 PM CT 2.5 -125 -105 52.0% 51.3% 2.71 19.0 (2.9) — -7.7% 2 SOG
STL @ UTA 6:30 PM CT 1.5 +100 -135 46.5% 48.2% 1.73 16.8 (2.2) — -3.6% 2 SOG
STL @ UTA 6:30 PM CT 2.5 -105 -125 48.0% 46.3% 2.48 17.6 (2.8) — -9.6% 2 SOG
STL @ UTA 6:30 PM CT 2.5 +145 -200 38.0% 37.6% 2.18 14.8 (2.0) — -7.8% 2 SOG
UTA vs STL 6:30 PM CT 2.5 +135 -185 39.6% 37.5% 2.08 24.5 (3.4) — -11.9% 1 SOG
NSH vs ANA 7:00 PM CT 1.5 -195 +145 61.8% 62.8% 2.27 21.1 (3.6) — -4.9% 0 SOG
ANA @ NSH 7:00 PM CT 1.5 -170 +125 58.6% 59.6% 2.12 19.9 (2.9) — -5.4% 3 SOG
ANA @ NSH 7:00 PM CT 1.5 -165 +125 58.4% 56.8% 1.90 22.7 (0.5) — -8.8% 0 SOG
ANA @ NSH 7:00 PM CT 1.5 -120 -110 51.0% 54.5% 2.06 18.0 (1.8) — -0.1% 3 SOG
ANA @ NSH 7:00 PM CT 1.5 -155 +115 56.7% 53.7% 1.71 12.9 (1.9) — -11.7% 3 SOG
NSH vs ANA 7:00 PM CT 2.5 -160 +120 57.5% 53.7% 2.65 19.1 (3.6) — -12.8% 3 SOG
ANA @ NSH 7:00 PM CT 2.5 -130 +100 53.1% 51.1% 2.63 18.7 (3.1) — -9.6% 7 SOG
ANA @ NSH 7:00 PM CT 1.5 +110 -145 44.6% 48.5% 1.87 23.9 (2.6) — +1.9% 6 SOG
ANA @ NSH 7:00 PM CT 2.5 -115 -115 50.0% 48.4% 2.55 18.0 (2.7) — -9.5% 1 SOG
ANA @ NSH 7:00 PM CT 2.5 -115 -120 49.5% 48.4% 2.60 18.5 (3.0) — -9.6% 4 SOG
NSH vs ANA 7:00 PM CT 3.5 +105 -135 45.9% 41.4% 3.05 19.3 (3.6) UNDER lean +2.0% L 6 SOG · -1.00u
ANA @ NSH 7:00 PM CT 3.5 +100 -130 46.9% 40.5% 2.79 14.7 (2.9) UNDER best +5.3% L 6 SOG · -1.00u
NSH vs ANA 7:00 PM CT 2.5 +135 -180 39.8% 37.8% 2.09 16.1 (1.8) — -11.2% 3 SOG
ANA @ NSH 7:00 PM CT 2.5 +150 -200 37.5% 37.6% 2.21 23.8 (2.7) — -6.0% 0 SOG
WPG vs SJS 7:00 PM CT 1.5 -185 +135 60.4% 60.9% 2.16 16.6 (2.2) — -6.2% 2 SOG
SJS @ WPG 7:00 PM CT 1.5 -165 +125 58.4% 57.8% 1.92 17.1 (1.7) — -7.2% 3 SOG
WPG vs SJS 7:00 PM CT 1.5 -150 +115 56.3% 57.1% 2.04 18.5 (3.4) — -4.9% 0 SOG
SJS @ WPG 7:00 PM CT 1.5 -140 +105 54.5% 51.7% 1.60 14.8 (1.0) — -11.4% 2 SOG
WPG vs SJS 7:00 PM CT 3.5 +100 -130 46.9% 44.5% 3.27 21.0 (3.4) — -11.0% 7 SOG
SJS @ WPG 7:00 PM CT 3.5 +100 -135 46.5% 43.9% 3.26 21.1 (3.1) — -12.2% 3 SOG
WPG vs SJS 7:00 PM CT 1.5 -105 -125 48.0% 43.2% 1.28 11.9 (0.2) UNDER lean +2.2% L 2 SOG · -1.00u
SJS @ WPG 7:00 PM CT 1.5 +125 -170 41.4% 41.8% 1.47 16.1 (0.2) — -6.0% 2 SOG
WPG vs SJS 7:00 PM CT 1.5 -110 -120 49.0% 41.4% 1.14 14.4 (0.8) UNDER best +7.4% W 1 SOG · +0.83u
SJS @ WPG 7:00 PM CT 1.5 +125 -170 41.4% 40.5% 1.37 20.9 (2.4) — -8.9% 0 SOG
WPG vs SJS 7:00 PM CT 2.5 +125 -170 41.4% 40.5% 2.26 24.8 (3.3) — -8.9% 1 SOG
WPG vs SJS 7:00 PM CT 2.5 +130 -170 40.9% 40.4% 2.32 21.4 (3.5) — -7.0% 0 SOG
SJS @ WPG 7:00 PM CT 2.5 +135 -185 39.6% 39.5% 2.29 18.2 (2.9) — -7.2% 5 SOG
SJS @ WPG 7:00 PM CT 2.5 +135 -185 39.6% 38.2% 2.15 17.4 (1.3) — -10.2% 4 SOG
CGY vs LAK 8:00 PM CT 1.5 -180 +135 60.2% 61.0% 2.20 17.3 (2.3) — -5.1% 0 SOG
CGY vs LAK 8:00 PM CT 1.5 -170 +125 58.6% 57.9% 1.93 16.6 (2.4) — -8.1% 2 SOG
LAK @ CGY 8:00 PM CT 1.5 -160 +120 57.5% 57.7% 2.02 20.1 (2.8) — -6.2% 0 SOG
LAK @ CGY 8:00 PM CT 2.5 -175 +130 59.4% 57.1% 2.88 20.3 (2.6) — -10.2% 2 SOG
LAK @ CGY 8:00 PM CT 2.5 -150 +110 55.8% 55.2% 2.89 18.8 (3.0) — -7.9% 2 SOG
LAK @ CGY 8:00 PM CT 2.5 -155 +115 56.7% 54.9% 2.82 20.0 (3.5) — -9.6% 2 SOG
CGY vs LAK 8:00 PM CT 2.5 -170 +130 59.2% 54.4% 2.59 18.1 (2.1) UNDER lean +5.0% W 0 SOG · +1.30u
CGY vs LAK 8:00 PM CT 1.5 -170 +125 58.6% 54.1% 1.63 20.4 (2.5) UNDER lean +3.2% L 2 SOG · -1.00u
CGY vs LAK 8:00 PM CT 1.5 -135 +105 54.1% 53.0% 1.79 14.3 (1.6) — -7.8% 1 SOG
LAK @ CGY 8:00 PM CT 1.5 -120 -110 51.0% 52.2% 1.84 20.0 (2.9) — -4.3% 3 SOG
LAK @ CGY 8:00 PM CT 1.5 -115 -115 50.0% 49.0% 1.63 15.8 (0.8) — -8.5% 2 SOG
CGY vs LAK 8:00 PM CT 1.5 -110 -120 49.0% 48.0% 1.59 14.7 (1.2) — -8.3% 1 SOG
CGY vs LAK 8:00 PM CT 2.5 -115 -115 50.0% 47.6% 2.45 17.3 (2.4) — -11.0% 2 SOG
LAK @ CGY 8:00 PM CT 2.5 +110 -150 44.3% 44.8% 2.55 18.1 (1.1) — -6.0% 7 SOG
LAK @ CGY 8:00 PM CT 2.5 +120 -155 42.8% 41.7% 2.34 19.7 (1.5) — -8.3% 2 SOG
CGY vs LAK 8:00 PM CT 2.5 +150 -200 37.5% 37.2% 2.15 17.9 (1.2) — -7.1% 0 SOG
EDM vs VAN 8:00 PM CT 1.5 -195 +145 61.8% 61.9% 2.15 17.4 (1.6) — -6.4% 6 SOG
EDM vs VAN 8:00 PM CT 1.5 -175 +130 59.4% 60.6% 2.17 18.8 (3.5) — -4.8% 4 SOG
EDM vs VAN 8:00 PM CT 1.5 -170 +125 58.6% 57.5% 1.93 21.4 (0.3) — -8.7% 2 SOG
EDM vs VAN 8:00 PM CT 1.5 -170 +130 59.2% 57.2% 1.87 16.2 (1.6) — -9.1% 3 SOG
VAN @ EDM 8:00 PM CT 1.5 -160 +120 57.5% 55.9% 1.85 25.7 (2.6) — -9.2% 1 SOG
EDM vs VAN 8:00 PM CT 2.5 -140 +105 54.5% 54.2% 2.90 24.9 (3.7) — -7.1% 2 SOG
VAN @ EDM 8:00 PM CT 1.5 -140 +105 54.5% 54.0% 1.83 18.0 (2.9) — -7.5% 0 SOG
VAN @ EDM 8:00 PM CT 1.5 -135 +100 53.5% 53.2% 1.79 16.1 (0.9) — -7.3% 0 SOG
EDM vs VAN 8:00 PM CT 3.5 -135 +100 53.5% 52.6% 3.80 23.8 (3.6) — -8.4% 3 SOG
EDM vs VAN 8:00 PM CT 2.5 -115 -120 49.5% 50.2% 2.79 18.6 (3.2) — -6.2% 1 SOG
VAN @ EDM 8:00 PM CT 2.5 +100 -130 46.9% 44.1% 2.29 16.8 (2.8) — -11.8% 2 SOG
EDM vs VAN 8:00 PM CT 2.5 +120 -160 42.5% 39.5% 2.13 15.2 (2.3) — -13.2% 1 SOG
VAN @ EDM 8:00 PM CT 2.5 +140 -190 38.9% 38.0% 2.17 19.3 (3.0) — -8.9% 1 SOG
SEA @ COL 9:00 PM CT 1.5 -155 +115 56.7% 55.7% 1.87 19.7 (2.4) — -8.4% 1 SOG
SEA @ COL 9:00 PM CT 1.5 -125 -105 52.0% 53.7% 1.93 17.9 (2.4) — -3.4% 0 SOG
SEA @ COL 9:00 PM CT 1.5 -125 -105 52.0% 53.1% 1.85 18.6 (2.5) — -4.4% 0 SOG
COL vs SEA 9:00 PM CT 2.5 -130 -105 52.5% 51.8% 2.74 23.9 (3.4) — -8.4% 3 SOG
COL vs SEA 9:00 PM CT 2.5 -115 -115 50.0% 48.8% 2.58 19.5 (3.2) — -8.9% 1 SOG
SEA @ COL 9:00 PM CT 2.5 -125 -110 51.5% 46.8% 2.30 16.7 (1.4) — -15.8% 2 SOG
COL vs SEA 9:00 PM CT 2.5 -110 -120 49.0% 44.2% 2.19 16.3 (1.1) UNDER lean +2.3% W 0 SOG · +0.83u
SEA @ COL 9:00 PM CT 2.5 +110 -145 44.6% 43.8% 2.39 22.1 (1.8) — -8.0% 4 SOG
COL vs SEA 9:00 PM CT 2.5 +100 -135 46.5% 43.2% 2.24 18.0 (1.4) — -13.6% 2 SOG

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