← 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
8
Lines priced
101
Best bets
3
Leans
6
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Jason Robertson
DAL @ NSH · 6:00 PM CT · F
UNDER 2.5
Price+130
Model47.8%
Book40.6%
EV+9.9%
Fair+109
Stake1.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.50 SOG · 19.2 min (3.1 PP) L 4 SOG · -1.00u
Cale Makar
COL @ NJD · 12:00 PM CT · D
UNDER 2.5
Price+115
Model50.1%
Book43.4%
EV+7.6%
Fair-100
Stake1.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.44 SOG · 24.7 min (3.7 PP) W 2 SOG · +1.15u
Dylan Guenther
UTA @ WPG · 5:00 PM CT · F
UNDER 2.5
Price+110
Model50.3%
Book44.6%
EV+5.6%
Fair-101
Stake1.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.47 SOG · 17.6 min (3.5 PP) role change L 4 SOG · -1.00u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
NJD vs COL 12:00 PM CT 1.5 -185 +135 60.4% 60.4% 2.11 17.8 (3.3) — -6.9% 3 SOG
COL @ NJD 12:00 PM CT 1.5 -160 +120 57.5% 59.4% 2.14 19.3 (2.5) — -3.4% 0 SOG
COL @ NJD 12:00 PM CT 1.5 -125 -105 52.0% 53.5% 1.89 17.8 (2.6) — -3.8% 2 SOG
COL @ NJD 12:00 PM CT 1.5 -150 +110 55.8% 52.8% 1.71 21.1 (1.3) — -11.9% 3 SOG
NJD vs COL 12:00 PM CT 1.5 -140 +105 54.5% 51.7% 1.67 18.6 (2.7) — -11.4% 0 SOG
NJD vs COL 12:00 PM CT 2.5 -130 -105 52.5% 50.5% 2.67 18.9 (2.5) — -10.7% 1 SOG
COL @ NJD 12:00 PM CT 2.5 -155 +115 56.7% 50.0% 2.44 24.7 (3.7) UNDER best +7.6% W 2 SOG · +1.15u
COL @ NJD 12:00 PM CT 1.5 -135 +105 54.1% 49.3% 1.54 13.3 (2.3) UNDER lean +3.9% L 2 SOG · -1.00u
COL @ NJD 12:00 PM CT 1.5 +110 -150 44.3% 48.9% 1.83 15.8 (2.1) OVER lean +2.7% W 2 SOG · +1.10u
COL @ NJD 12:00 PM CT 3.5 -120 -110 51.0% 48.7% 3.53 21.2 (3.9) — -10.7% 4 SOG
NJD vs COL 12:00 PM CT 2.5 -115 -115 50.0% 45.7% 2.37 21.2 (2.8) — -14.5% 1 SOG
NJD vs COL 12:00 PM CT 3.5 +105 -135 45.9% 44.0% 3.30 20.5 (3.4) — -9.8% 2 SOG
COL @ NJD 12:00 PM CT 1.5 +115 -150 43.7% 42.8% 1.45 23.5 (1.1) — -8.0% 2 SOG
COL @ NJD 12:00 PM CT 2.5 +100 -130 46.9% 42.1% 2.19 18.1 (2.1) UNDER lean +2.4% L 3 SOG · -1.00u
COL @ NJD 12:00 PM CT 2.5 +130 -170 40.9% 41.7% 2.44 20.4 (3.6) — -4.0% 0 SOG
NJD vs COL 12:00 PM CT 2.5 +140 -190 38.9% 39.3% 2.30 20.4 (3.4) — -5.7% 0 SOG
TBL vs VGK 4:00 PM CT 1.5 -190 +140 61.1% 62.9% 2.25 19.1 (3.2) — -4.1% 1 SOG
VGK @ TBL 4:00 PM CT 1.5 -195 +145 61.8% 58.5% 1.88 22.2 (2.2) — -11.6% 1 SOG
VGK @ TBL 4:00 PM CT 2.5 -180 +135 60.2% 58.2% 3.03 20.6 (3.3) — -9.4% 3 SOG
TBL vs VGK 4:00 PM CT 1.5 -170 +125 58.6% 56.6% 1.89 23.4 (3.0) — -10.1% 2 SOG
TBL vs VGK 4:00 PM CT 2.5 -175 +130 59.4% 56.2% 2.86 20.8 (3.6) — -11.7% 2 SOG
VGK @ TBL 4:00 PM CT 1.5 -145 +110 55.4% 55.8% 1.93 20.2 (3.2) — -5.7% 0 SOG
VGK @ TBL 4:00 PM CT 1.5 -145 +110 55.4% 54.2% 1.84 16.1 (1.1) — -8.4% 2 SOG
VGK @ TBL 4:00 PM CT 2.5 -145 +110 55.4% 51.7% 2.64 16.4 (2.9) — -12.7% 2 SOG
TBL vs VGK 4:00 PM CT 2.5 -115 -115 50.0% 49.4% 2.66 20.4 (3.3) — -7.7% 5 SOG
TBL vs VGK 4:00 PM CT 2.5 +125 -165 41.7% 39.8% 2.22 19.2 (1.7) — -10.4% 5 SOG
VGK @ TBL 4:00 PM CT 2.5 +130 -175 40.6% 37.7% 2.13 17.1 (3.0) — -13.2% 4 SOG
SJS @ MIN 5:00 PM CT 1.5 -175 +130 59.4% 59.9% 2.11 17.7 (2.3) — -5.9% 2 SOG
SJS @ MIN 5:00 PM CT 2.5 -150 +115 56.3% 56.8% 3.08 20.7 (2.4) — -5.3% 3 SOG
MIN vs SJS 5:00 PM CT 2.5 -155 +115 56.7% 55.6% 2.96 19.2 (3.5) — -8.6% 5 SOG
MIN vs SJS 5:00 PM CT 1.5 -150 +115 56.3% 53.9% 1.80 14.4 (3.1) — -10.1% 0 SOG
SJS @ MIN 5:00 PM CT 2.5 -125 -105 52.0% 52.0% 2.81 17.8 (2.4) — -6.5% 4 SOG
MIN vs SJS 5:00 PM CT 1.5 -120 -110 51.0% 51.2% 1.74 16.1 (1.6) — -6.2% 2 SOG
MIN vs SJS 5:00 PM CT 1.5 -130 -105 52.5% 49.1% 1.60 15.1 (1.4) — -13.2% 3 SOG
MIN vs SJS 5:00 PM CT 1.5 -110 -125 48.5% 47.5% 1.61 19.1 (3.4) — -9.3% 1 SOG
MIN vs SJS 5:00 PM CT 3.5 -120 -110 51.0% 47.0% 3.42 21.2 (3.8) — -13.8% 3 SOG
MIN vs SJS 5:00 PM CT 3.5 -120 -110 51.0% 46.7% 3.38 21.3 (3.9) — -14.5% 3 SOG
MIN vs SJS 5:00 PM CT 2.5 -105 -125 48.0% 46.3% 2.46 16.2 (1.7) — -9.6% 3 SOG
MIN vs SJS 5:00 PM CT 1.5 -105 -125 48.0% 46.1% 1.52 20.1 (1.6) — -10.0% 2 SOG
SJS @ MIN 5:00 PM CT 2.5 +130 -170 40.9% 39.4% 2.19 19.2 (2.4) — -9.5% 4 SOG
WPG vs UTA 5:00 PM CT 1.5 -200 +150 62.5% 60.6% 1.99 24.2 (3.7) — -9.2% 3 SOG
WPG vs UTA 5:00 PM CT 1.5 -170 +125 58.6% 58.3% 1.98 18.8 (3.8) — -7.4% 4 SOG
UTA @ WPG 5:00 PM CT 1.5 -165 +120 57.8% 58.2% 2.02 18.1 (3.3) — -6.5% 3 SOG
UTA @ WPG 5:00 PM CT 1.5 -130 +100 53.1% 54.8% 1.97 16.5 (2.0) — -3.1% 0 SOG
WPG vs UTA 5:00 PM CT 1.5 -160 +120 57.5% 53.2% 1.67 23.1 (2.1) UNDER lean +3.0% L 4 SOG · -1.00u
UTA @ WPG 5:00 PM CT 2.5 -145 +110 55.4% 49.7% 2.47 17.6 (3.5) UNDER best +5.6% L 4 SOG · -1.00u
UTA @ WPG 5:00 PM CT 1.5 +100 -135 46.5% 47.2% 1.63 24.1 (3.4) — -5.6% 4 SOG
UTA @ WPG 5:00 PM CT 1.5 +120 -155 42.8% 46.3% 1.72 16.9 (1.9) — +1.9% 1 SOG
UTA @ WPG 5:00 PM CT 2.5 +100 -135 46.5% 43.7% 2.36 18.6 (3.7) — -12.5% 3 SOG
WPG vs UTA 5:00 PM CT 3.5 +130 -175 40.6% 39.5% 3.13 21.3 (3.8) — -9.2% 3 SOG
UTA @ WPG 5:00 PM CT 2.5 +120 -160 42.5% 38.7% 2.11 18.5 (3.5) — -14.8% 2 SOG
WPG vs UTA 5:00 PM CT 2.5 +135 -180 39.8% 37.7% 2.14 20.4 (3.9) — -11.5% 2 SOG
LAK @ CHI 6:00 PM CT 1.5 -175 +130 59.4% 61.2% 2.17 19.3 (2.6) — -3.9% 1 SOG
CHI vs LAK 6:00 PM CT 1.5 -170 +125 58.6% 59.1% 2.10 16.3 (1.8) — -6.1% 2 SOG
LAK @ CHI 6:00 PM CT 1.5 -150 +115 56.3% 57.8% 2.05 16.2 (1.0) — -3.6% 1 SOG
LAK @ CHI 6:00 PM CT 1.5 -135 +105 54.1% 57.5% 2.10 15.3 (0.7) — +0.2% 0 SOG
CHI vs LAK 6:00 PM CT 1.5 -145 +110 55.4% 55.5% 1.92 18.1 (2.5) — -6.2% 1 SOG
CHI vs LAK 6:00 PM CT 1.5 -145 +110 55.4% 55.1% 1.88 17.4 (0.4) — -6.9% 1 SOG
LAK @ CHI 6:00 PM CT 2.5 -160 +120 57.5% 54.5% 2.82 19.0 (2.8) — -11.4% 1 SOG
LAK @ CHI 6:00 PM CT 2.5 -145 +110 55.4% 52.5% 2.72 17.8 (3.0) — -11.2% 2 SOG
CHI vs LAK 6:00 PM CT 1.5 -130 -105 52.5% 51.8% 1.76 20.4 (2.6) — -8.4% 1 SOG
CHI vs LAK 6:00 PM CT 2.5 -105 -125 48.0% 48.2% 2.66 21.9 (3.0) — -5.9% 3 SOG
LAK @ CHI 6:00 PM CT 2.5 +140 -190 38.9% 34.0% 1.89 15.0 (0.9) — -18.5% 6 SOG
NSH vs DAL 6:00 PM CT 1.5 -155 +115 56.7% 56.1% 1.92 18.8 (2.9) — -7.7% 4 SOG
NSH vs DAL 6:00 PM CT 1.5 -125 -105 52.0% 53.6% 1.89 14.0 (2.1) — -3.5% 1 SOG
NSH vs DAL 6:00 PM CT 1.5 -125 -105 52.0% 53.3% 1.87 15.3 (2.1) — -4.1% 0 SOG
NSH vs DAL 6:00 PM CT 1.5 -130 -105 52.5% 52.3% 1.78 21.6 (2.2) — -7.5% 2 SOG
DAL @ NSH 6:00 PM CT 2.5 -175 +130 59.4% 52.2% 2.50 19.2 (3.1) UNDER best +9.9% L 4 SOG · -1.00u
DAL @ NSH 6:00 PM CT 1.5 -135 +100 53.5% 51.4% 1.68 23.5 (2.2) — -10.6% 3 SOG
NSH vs DAL 6:00 PM CT 2.5 -110 -120 49.0% 46.4% 2.47 17.6 (3.2) — -11.4% 3 SOG
DAL @ NSH 6:00 PM CT 2.5 -110 -120 49.0% 45.2% 2.37 20.6 (3.6) — -13.6% 5 SOG
DAL @ NSH 6:00 PM CT 2.5 -110 -120 49.0% 44.8% 2.32 20.1 (3.1) — -14.5% 4 SOG
NSH vs DAL 6:00 PM CT 3.5 +120 -160 42.5% 41.0% 3.19 18.7 (3.2) — -9.8% 4 SOG
NSH vs DAL 6:00 PM CT 2.5 +140 -185 39.1% 37.2% 2.12 17.5 (3.2) — -10.8% 2 SOG
DAL @ NSH 6:00 PM CT 2.5 +125 -170 41.4% 35.4% 1.88 16.3 (1.8) UNDER lean +2.7% W 1 SOG · +0.59u
DAL @ NSH 6:00 PM CT 2.5 +145 -200 38.0% 34.5% 1.97 23.9 (3.2) — -15.4% 2 SOG
NYR @ CGY 7:00 PM CT 1.5 -195 +145 61.8% 62.9% 2.23 20.8 (3.3) — -4.9% 1 SOG
CGY vs NYR 7:00 PM CT 1.5 -180 +135 60.2% 61.8% 2.23 24.9 (3.3) — -3.8% 2 SOG
CGY vs NYR 7:00 PM CT 1.5 -195 +145 61.8% 61.3% 2.12 17.5 (1.1) — -7.3% 7 SOG
NYR @ CGY 7:00 PM CT 1.5 -190 +140 61.1% 61.0% 2.09 17.5 (2.8) — -6.9% 2 SOG
CGY vs NYR 7:00 PM CT 2.5 -180 +135 60.2% 60.5% 3.25 20.5 (3.7) — -5.9% 4 SOG
NYR @ CGY 7:00 PM CT 1.5 -175 +130 59.4% 59.8% 2.06 25.4 (3.5) — -6.0% 2 SOG
CGY vs NYR 7:00 PM CT 1.5 -150 +115 56.3% 58.6% 2.12 20.4 (3.5) — -2.3% 0 SOG
CGY vs NYR 7:00 PM CT 1.5 -180 +135 60.2% 57.7% 1.91 17.0 (0.7) — -10.2% 1 SOG
NYR @ CGY 7:00 PM CT 1.5 -165 +125 58.4% 56.3% 1.89 17.2 (1.0) — -9.6% 0 SOG
NYR @ CGY 7:00 PM CT 2.5 -170 +130 59.2% 56.3% 2.87 20.9 (3.7) — -10.6% 7 SOG
CGY vs NYR 7:00 PM CT 1.5 -135 +105 54.1% 55.7% 1.97 16.1 (2.3) — -3.0% 2 SOG
CGY vs NYR 7:00 PM CT 1.5 -150 +110 55.8% 54.0% 1.81 22.4 (1.9) — -10.0% 2 SOG
NYR @ CGY 7:00 PM CT 2.5 -115 -115 50.0% 46.9% 2.47 20.7 (3.3) — -12.4% 3 SOG
VAN vs EDM 9:00 PM CT 1.5 -190 +140 61.1% 60.6% 2.09 19.0 (3.8) — -7.5% 3 SOG
EDM @ VAN 9:00 PM CT 2.5 -165 +125 58.4% 55.8% 2.84 22.8 (3.9) — -10.3% 3 SOG
EDM @ VAN 9:00 PM CT 1.5 -155 +120 57.2% 55.2% 1.84 18.0 (3.6) — -9.2% 2 SOG
VAN vs EDM 9:00 PM CT 1.5 -150 +110 55.8% 53.1% 1.72 18.1 (3.4) — -11.5% 2 SOG
EDM @ VAN 9:00 PM CT 1.5 -140 +105 54.5% 52.3% 1.69 21.1 (0.4) — -10.4% 4 SOG
EDM @ VAN 9:00 PM CT 2.5 -145 +110 55.4% 50.7% 2.54 21.4 (3.9) UNDER lean +3.5% L 3 SOG · -1.00u
EDM @ VAN 9:00 PM CT 1.5 -130 +100 53.1% 50.5% 1.63 20.0 (0.9) — -10.7% 0 SOG
VAN vs EDM 9:00 PM CT 1.5 -120 -110 51.0% 50.3% 1.68 16.7 (1.4) — -7.9% 5 SOG
EDM @ VAN 9:00 PM CT 2.5 -130 -105 52.5% 48.0% 2.47 23.2 (3.8) — -15.1% 0 SOG
VAN vs EDM 9:00 PM CT 2.5 +110 -150 44.3% 41.4% 2.24 17.3 (1.4) — -13.1% 2 SOG
VAN vs EDM 9:00 PM CT 2.5 +125 -165 41.7% 38.1% 2.10 18.6 (3.3) — -14.3% 2 SOG
VAN vs EDM 9:00 PM CT 2.5 +140 -190 38.9% 34.2% 1.91 16.2 (3.4) — -17.8% 4 SOG

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