← 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
60
Best bets
8
Leans
4
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Mark Stone
VGK @ VAN · 8:00 PM CT · F
UNDER 2.5
Price-125
Model60.3%
Book52.0%
EV+8.6%
Fair-152
Stake2.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.91 SOG · 19.0 min (3.1 PP) L 3 SOG · -1.00u
Rasmus Andersson
VGK @ VAN · 8:00 PM CT · D
UNDER 1.5
Price+140
Model45.2%
Book38.9%
EV+8.6%
Fair+121
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.59 SOG · 21.8 min (1.1 PP) W 1 SOG · +1.40u
Cutter Gauthier
ANA vs FLA · 7:00 PM CT · F
UNDER 3.5
Price-130
Model61.3%
Book52.5%
EV+8.5%
Fair-159
Stake2.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.70 SOG · 15.9 min (2.7 PP) L 4 SOG · -1.00u
Pavel Dorofeyev
NYR vs UTA · 5:00 PM CT · F
UNDER 2.5
Price+115
Model49.6%
Book43.4%
EV+6.7%
Fair+102
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.47 SOG · 16.7 min (3.4 PP) L 3 SOG · -1.00u
Viktor Arvidsson
DET vs WPG · 12:00 PM CT · F
UNDER 2.5
Price-130
Model60.3%
Book52.5%
EV+6.6%
Fair-152
Stake2.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.95 SOG · 12.8 min (1.9 PP) L 4 SOG · -1.00u
Alex DeBrincat
DET vs WPG · 12:00 PM CT · F
UNDER 3.5
Price-120
Model58.0%
Book51.0%
EV+6.4%
Fair-138
Stake1.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.92 SOG · 18.8 min (3.1 PP) L 4 SOG · -1.00u
Tomas Hertl
VGK @ VAN · 8:00 PM CT · F
UNDER 2.5
Price-175
Model67.1%
Book59.4%
EV+5.5%
Fair-204
Stake2.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.70 SOG · 14.0 min (3.0 PP) W 2 SOG · +0.57u
Shea Theodore
VGK @ VAN · 8:00 PM CT · D
UNDER 1.5
Price+135
Model44.9%
Book39.8%
EV+5.4%
Fair+123
Stake1.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.66 SOG · 23.8 min (1.8 PP) L 2 SOG · -1.00u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
DET vs WPG 12:00 PM CT 1.5 -190 +140 61.1% 59.6% 2.01 24.6 (3.3) — -9.0% 3 SOG
WPG @ DET 12:00 PM CT 1.5 -195 +145 61.8% 58.3% 1.86 24.0 (3.0) UNDER lean +2.2% L 7 SOG · -1.00u
WPG @ DET 12:00 PM CT 1.5 -170 +130 59.2% 57.3% 1.89 20.5 (3.0) — -9.0% 2 SOG
WPG @ DET 12:00 PM CT 2.5 -160 +120 57.5% 54.4% 2.77 20.3 (2.9) — -11.6% 5 SOG
WPG @ DET 12:00 PM CT 1.5 -115 -115 50.0% 47.6% 1.54 22.7 (1.6) — -11.0% 3 SOG
DET vs WPG 12:00 PM CT 1.5 -105 -125 48.0% 47.2% 1.58 21.1 (1.7) — -7.9% 3 SOG
DET vs WPG 12:00 PM CT 1.5 -120 -140 48.3% 45.7% 1.48 17.4 (1.3) — -16.2% 1 SOG
DET vs WPG 12:00 PM CT 3.5 -110 -120 49.0% 42.0% 2.92 18.8 (3.1) UNDER best +6.4% L 4 SOG · -1.00u
DET vs WPG 12:00 PM CT 2.5 -105 -130 47.5% 39.8% 1.95 12.8 (1.9) UNDER best +6.6% L 4 SOG · -1.00u
DET vs WPG 12:00 PM CT 2.5 +100 -165 44.5% 39.8% 2.05 18.4 (3.1) — -20.5% 2 SOG
WPG @ DET 12:00 PM CT 2.5 +100 -250 41.2% 34.9% 1.85 16.5 (1.9) — -30.3% 2 SOG
UTA @ NYR 5:00 PM CT 1.5 -190 +140 61.1% 58.1% 1.87 14.8 (1.6) — -11.4% 1 SOG
NYR vs UTA 5:00 PM CT 1.5 -155 +115 56.7% 56.3% 1.90 18.3 (3.1) — -7.4% 1 SOG
UTA @ NYR 5:00 PM CT 1.5 -135 -105 52.9% 55.6% 2.04 18.4 (2.9) — -3.2% 0 SOG
UTA @ NYR 5:00 PM CT 2.5 -140 +105 54.5% 52.4% 2.72 18.2 (3.1) — -10.2% 2 SOG
UTA @ NYR 5:00 PM CT 1.5 -150 +100 54.6% 52.1% 1.69 24.1 (3.0) — -13.2% 3 SOG
NYR vs UTA 5:00 PM CT 1.5 -125 -105 52.0% 50.6% 1.68 23.0 (3.5) — -8.9% 1 SOG
NYR vs UTA 5:00 PM CT 2.5 -155 +115 56.7% 50.4% 2.47 16.7 (3.4) UNDER best +6.7% L 3 SOG · -1.00u
NYR vs UTA 5:00 PM CT 1.5 -125 -110 51.5% 50.0% 1.65 15.5 (1.2) — -10.0% 2 SOG
UTA @ NYR 5:00 PM CT 2.5 -115 -115 50.0% 49.3% 2.66 19.7 (3.2) — -7.9% 2 SOG
NYR vs UTA 5:00 PM CT 1.5 -105 -130 47.5% 46.5% 1.58 15.1 (1.4) — -9.1% 2 SOG
NYR vs UTA 5:00 PM CT 1.5 +115 -155 43.4% 44.0% 1.55 16.3 (1.5) — -5.4% 1 SOG
UTA @ NYR 5:00 PM CT 2.5 +110 -145 44.6% 42.8% 2.31 20.1 (3.1) — -10.1% 3 SOG
NYR vs UTA 5:00 PM CT 2.5 +120 -160 42.5% 42.2% 2.38 20.5 (3.5) — -7.2% 0 SOG
NYR vs UTA 5:00 PM CT 2.5 +145 -190 38.4% 36.6% 2.06 18.9 (3.3) — -10.3% 4 SOG
FLA @ ANA 7:00 PM CT 1.5 -135 +100 53.5% 55.2% 1.99 18.2 (2.3) — -3.9% 1 SOG
ANA vs FLA 7:00 PM CT 1.5 -125 -110 51.5% 52.9% 1.87 26.6 (2.8) — -4.7% 0 SOG
ANA vs FLA 7:00 PM CT 1.5 -125 -105 52.0% 52.7% 1.86 19.9 (2.5) — -5.2% 2 SOG
ANA vs FLA 7:00 PM CT 1.5 +100 -135 46.5% 50.6% 1.92 18.9 (2.1) — +1.2% 0 SOG
FLA @ ANA 7:00 PM CT 2.5 -170 -110 54.6% 47.8% 2.30 17.5 (3.3) — -24.1% 1 SOG
FLA @ ANA 7:00 PM CT 1.5 +105 -135 45.9% 45.5% 1.57 24.2 (2.9) — -6.8% 4 SOG
FLA @ ANA 7:00 PM CT 2.5 -135 -120 51.3% 45.1% 2.20 20.6 (3.1) — -21.5% 3 SOG
ANA vs FLA 7:00 PM CT 2.5 +100 -135 46.5% 44.7% 2.38 17.8 (2.7) — -10.7% 0 SOG
FLA @ ANA 7:00 PM CT 2.5 +120 -160 42.5% 41.2% 2.32 18.4 (2.8) — -9.3% 3 SOG
FLA @ ANA 7:00 PM CT 2.5 +135 -185 39.6% 41.2% 2.44 18.6 (3.1) — -3.2% 4 SOG
ANA vs FLA 7:00 PM CT 2.5 +130 -175 40.6% 40.3% 2.29 17.3 (2.5) — -7.4% 3 SOG
ANA vs FLA 7:00 PM CT 3.5 -105 -130 47.5% 38.7% 2.70 15.9 (2.7) UNDER best +8.5% L 4 SOG · -1.00u
FLA @ ANA 7:00 PM CT 3.5 +105 -185 42.9% 38.0% 2.88 17.1 (2.7) — -22.0% 4 SOG
CGY @ SEA 7:00 PM CT 1.5 -175 +130 59.4% 61.6% 2.26 17.5 (2.8) — -3.3% 5 SOG
CGY @ SEA 7:00 PM CT 1.5 -185 +135 60.4% 59.3% 1.99 17.4 (2.7) — -8.7% 1 SOG
SEA vs CGY 7:00 PM CT 1.5 -195 +145 61.8% 58.9% 1.89 17.8 (2.8) — -11.0% 2 SOG
CGY @ SEA 7:00 PM CT 1.5 -120 -115 50.5% 53.7% 1.98 18.1 (1.1) — -1.5% 5 SOG
CGY @ SEA 7:00 PM CT 1.5 -155 -105 54.3% 53.2% 1.79 16.8 (2.7) — -12.5% 3 SOG
CGY @ SEA 7:00 PM CT 1.5 -115 -125 49.1% 49.5% 1.71 17.3 (1.1) — -7.5% 4 SOG
SEA vs CGY 7:00 PM CT 2.5 -145 -110 53.1% 46.4% 2.25 16.9 (1.7) UNDER lean +2.4% L 6 SOG · -1.00u
CGY @ SEA 7:00 PM CT 1.5 +100 -135 46.5% 45.7% 1.53 20.6 (2.8) — -8.7% 2 SOG
SEA vs CGY 7:00 PM CT 2.5 +105 -135 45.9% 44.0% 2.33 22.3 (2.4) — -9.8% 3 SOG
SEA vs CGY 7:00 PM CT 2.5 +140 -185 39.1% 34.3% 1.85 20.2 (2.8) — -17.7% 0 SOG
VAN vs VGK 8:00 PM CT 1.5 -190 +120 59.0% 56.4% 1.82 25.9 (3.1) — -13.9% 1 SOG
VGK @ VAN 8:00 PM CT 1.5 -170 +130 59.2% 55.2% 1.74 16.7 (1.1) UNDER lean +3.1% L 2 SOG · -1.00u
VGK @ VAN 8:00 PM CT 1.5 -180 +135 60.2% 55.2% 1.66 23.8 (1.8) UNDER best +5.4% L 2 SOG · -1.00u
VGK @ VAN 8:00 PM CT 1.5 -190 +140 61.1% 54.8% 1.59 21.8 (1.1) UNDER best +8.6% W 1 SOG · +1.40u
VAN vs VGK 8:00 PM CT 1.5 -105 -130 47.5% 49.7% 1.79 18.6 (3.5) — -2.9% 3 SOG
VAN vs VGK 8:00 PM CT 1.5 -120 -110 51.0% 48.0% 1.52 14.6 (1.3) — -12.1% 2 SOG
VAN vs VGK 8:00 PM CT 1.5 +120 -155 42.8% 42.1% 1.45 15.6 (0.7) — -7.3% 2 SOG
VGK @ VAN 8:00 PM CT 2.5 -105 -125 48.0% 39.7% 1.91 19.0 (3.1) UNDER best +8.6% L 3 SOG · -1.00u
VAN vs VGK 8:00 PM CT 2.5 +125 -170 41.4% 38.5% 2.11 19.3 (3.6) — -13.4% 0 SOG
VGK @ VAN 8:00 PM CT 2.5 +140 -190 38.9% 38.4% 2.19 20.9 (3.3) — -7.9% 3 SOG
VGK @ VAN 8:00 PM CT 3.5 +120 -160 42.5% 35.7% 2.65 20.8 (3.3) UNDER lean +4.4% W 2 SOG · +0.63u
VGK @ VAN 8:00 PM CT 2.5 +130 -175 40.6% 32.9% 1.70 14.0 (3.0) UNDER best +5.5% W 2 SOG · +0.57u

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