← 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
7
Lines priced
96
Best bets
3
Leans
4
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Artturi Lehkonen
COL vs DAL · 2:30 PM CT · F
OVER 1.5
Price-135
Model61.0%
Book53.5%
EV+6.2%
Fair-156
Stake2.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.37 SOG · 20.3 min (2.3 PP) role change W 2 SOG · +0.74u
Dylan Guenther
UTA @ VAN · 7:00 PM CT · F
UNDER 2.5
Price+120
Model48.2%
Book42.8%
EV+5.9%
Fair+108
Stake1.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.64 SOG · 18.1 min (3.3 PP) L 3 SOG · -1.00u
Mackie Samoskevich
FLA @ NYI · 6:30 PM CT · F
UNDER 2.5
Price-160
Model65.0%
Book57.5%
EV+5.6%
Fair-186
Stake2.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.90 SOG · 15.6 min (2.0 PP) role change W 1 SOG · +0.63u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
VGK @ DET 12:00 PM CT 1.5 -185 +140 60.9% 63.0% 2.23 17.4 (2.5) — -3.0% 1 SOG
VGK @ DET 12:00 PM CT 1.5 -155 +115 56.7% 59.3% 2.16 19.1 (2.4) — -2.4% 1 SOG
VGK @ DET 12:00 PM CT 2.5 -170 +125 58.6% 57.6% 3.05 19.9 (2.6) — -8.5% 2 SOG
VGK @ DET 12:00 PM CT 1.5 -165 +125 58.4% 56.7% 1.90 23.1 (2.0) — -9.0% 0 SOG
DET vs VGK 12:00 PM CT 1.5 -155 +115 56.7% 55.9% 1.90 24.3 (2.5) — -8.1% 2 SOG
DET vs VGK 12:00 PM CT 2.5 -140 +105 54.5% 54.4% 2.91 20.0 (2.6) — -6.8% 0 SOG
DET vs VGK 12:00 PM CT 2.5 -130 +100 53.1% 51.9% 2.72 17.7 (2.5) — -8.2% 3 SOG
VGK @ DET 12:00 PM CT 1.5 -115 -115 50.0% 49.1% 1.66 21.4 (1.1) — -8.2% 1 SOG
VGK @ DET 12:00 PM CT 2.5 -125 -105 52.0% 48.8% 2.57 16.3 (2.3) — -12.2% 2 SOG
VGK @ DET 12:00 PM CT 1.5 +100 -130 46.9% 48.7% 1.72 14.9 (0.5) — -2.7% 1 SOG
DET vs VGK 12:00 PM CT 2.5 +105 -140 45.5% 44.7% 2.45 18.2 (2.6) — -8.5% 4 SOG
DET vs VGK 12:00 PM CT 2.5 +130 -175 40.6% 41.4% 2.38 19.0 (2.6) — -4.7% 2 SOG
COL vs DAL 2:30 PM CT 1.5 -165 +120 57.8% 64.0% 2.47 18.6 (2.5) OVER lean +2.8% L 0 SOG · -1.00u
COL vs DAL 2:30 PM CT 1.5 -135 +100 53.5% 61.0% 2.37 20.3 (2.3) OVER best +6.2% W 2 SOG · +0.74u
DAL @ COL 2:30 PM CT 1.5 -160 +120 57.5% 57.8% 2.02 24.4 (2.8) — -6.1% 1 SOG
COL vs DAL 2:30 PM CT 1.5 -125 -105 52.0% 55.2% 1.96 24.1 (1.2) — -0.7% 1 SOG
DAL @ COL 2:30 PM CT 1.5 -160 +120 57.5% 54.3% 1.76 15.2 (2.2) — -11.8% 0 SOG
COL vs DAL 2:30 PM CT 3.5 -120 -110 51.0% 54.1% 4.10 22.3 (3.7) — -0.8% 4 SOG
COL vs DAL 2:30 PM CT 2.5 -150 +110 55.8% 53.6% 2.84 25.2 (3.5) — -10.6% 1 SOG
DAL @ COL 2:30 PM CT 1.5 -130 +100 53.1% 52.9% 1.79 15.2 (1.4) — -6.4% 2 SOG
DAL @ COL 2:30 PM CT 1.5 -115 -115 50.0% 51.1% 1.79 16.4 (2.4) — -4.5% 4 SOG
COL vs DAL 2:30 PM CT 2.5 +100 -135 46.5% 49.2% 2.77 20.0 (3.5) — -1.6% 8 SOG
COL vs DAL 2:30 PM CT 1.5 -105 -130 47.5% 46.4% 1.55 12.1 (1.1) — -9.4% 2 SOG
COL vs DAL 2:30 PM CT 2.5 +110 -145 44.6% 45.6% 2.55 18.6 (2.8) — -4.2% 3 SOG
DAL @ COL 2:30 PM CT 2.5 +100 -130 46.9% 45.4% 2.47 19.2 (2.7) — -9.1% 2 SOG
DAL @ COL 2:30 PM CT 2.5 +100 -135 46.5% 44.6% 2.44 17.8 (2.8) — -10.9% 2 SOG
DAL @ COL 2:30 PM CT 2.5 +130 -175 40.6% 41.2% 2.35 18.3 (2.6) — -5.2% 1 SOG
EDM @ NYR 6:00 PM CT 1.5 -195 +145 61.8% 64.3% 2.35 23.6 (1.2) — -2.8% 3 SOG
EDM @ NYR 6:00 PM CT 1.5 -170 +125 58.6% 61.8% 2.25 23.0 (2.3) — -1.8% 1 SOG
NYR vs EDM 6:00 PM CT 1.5 -195 +145 61.8% 60.8% 2.08 16.0 (2.8) — -8.0% 1 SOG
EDM @ NYR 6:00 PM CT 2.5 -160 +120 57.5% 60.6% 3.34 23.6 (3.5) — -1.5% 1 SOG
EDM @ NYR 6:00 PM CT 1.5 -165 +125 58.4% 58.3% 2.02 18.4 (3.1) — -6.4% 0 SOG
NYR vs EDM 6:00 PM CT 1.5 -160 +120 57.5% 56.7% 1.95 17.4 (3.0) — -7.8% 2 SOG
NYR vs EDM 6:00 PM CT 2.5 -175 +130 59.4% 56.2% 2.89 20.1 (3.0) — -11.8% 4 SOG
NYR vs EDM 6:00 PM CT 1.5 -125 -105 52.0% 56.0% 2.05 16.9 (1.5) — +0.9% 1 SOG
EDM @ NYR 6:00 PM CT 2.5 -140 +105 54.5% 53.5% 2.82 23.9 (3.3) — -8.4% 1 SOG
NYR vs EDM 6:00 PM CT 1.5 -135 +105 54.1% 53.3% 1.82 15.5 (0.9) — -7.2% 2 SOG
NYR vs EDM 6:00 PM CT 1.5 -115 -115 50.0% 50.9% 1.74 22.1 (3.0) — -4.9% 1 SOG
NYR vs EDM 6:00 PM CT 2.5 +135 -180 39.8% 41.9% 2.46 20.7 (2.3) — -1.6% 0 SOG
NYR vs EDM 6:00 PM CT 2.5 +105 -140 45.5% 40.7% 2.17 18.8 (3.0) — -16.7% 4 SOG
EDM @ NYR 6:00 PM CT 3.5 +130 -175 40.6% 39.1% 3.11 22.2 (3.5) — -10.1% 2 SOG
EDM @ NYR 6:00 PM CT 2.5 +145 -190 38.4% 37.2% 2.15 14.0 (0.7) — -8.8% 4 SOG
NYI vs FLA 6:30 PM CT 1.5 -200 +145 62.0% 64.0% 2.30 16.5 (2.5) — -4.0% 1 SOG
FLA @ NYI 6:30 PM CT 1.5 -180 +135 60.2% 59.9% 2.08 24.8 (2.5) — -6.9% 2 SOG
FLA @ NYI 6:30 PM CT 1.5 -160 +120 57.5% 59.1% 2.06 23.6 (0.4) — -3.9% 0 SOG
FLA @ NYI 6:30 PM CT 2.5 -170 +130 59.2% 55.5% 2.83 17.7 (2.4) UNDER lean +2.4% L 3 SOG · -1.00u
NYI vs FLA 6:30 PM CT 1.5 -130 +100 53.1% 54.7% 1.93 21.3 (2.2) — -3.2% 0 SOG
NYI vs FLA 6:30 PM CT 2.5 -140 +105 54.5% 52.5% 2.78 20.3 (3.0) — -9.9% 3 SOG
FLA @ NYI 6:30 PM CT 2.5 -125 -105 52.0% 50.7% 2.71 17.8 (1.9) — -8.7% 2 SOG
FLA @ NYI 6:30 PM CT 1.5 -120 -110 51.0% 49.8% 1.66 15.4 (1.2) — -8.6% 1 SOG
NYI vs FLA 6:30 PM CT 1.5 -110 -120 49.0% 48.9% 1.67 15.5 (2.2) — -6.7% 0 SOG
FLA @ NYI 6:30 PM CT 2.5 -110 -120 49.0% 47.3% 2.54 20.8 (2.9) — -9.8% 6 SOG
NYI vs FLA 6:30 PM CT 2.5 +110 -150 44.3% 40.1% 2.18 22.0 (3.0) — -15.7% 4 SOG
FLA @ NYI 6:30 PM CT 2.5 +130 -175 40.6% 40.0% 2.28 20.0 (2.8) — -8.0% 3 SOG
NYI vs FLA 6:30 PM CT 2.5 +135 -180 39.8% 38.3% 2.18 18.8 (2.4) — -10.0% 2 SOG
FLA @ NYI 6:30 PM CT 2.5 +120 -160 42.5% 35.0% 1.90 15.6 (2.0) UNDER best +5.6% W 1 SOG · +0.63u
FLA @ NYI 6:30 PM CT 2.5 +145 -195 38.2% 35.0% 2.01 15.7 (1.1) — -14.4% 1 SOG
ANA @ STL 7:00 PM CT 1.5 -160 +120 57.5% 60.2% 2.15 18.8 (2.1) — -2.2% 6 SOG
ANA @ STL 7:00 PM CT 1.5 -145 +110 55.4% 55.2% 1.88 16.3 (2.0) — -6.7% 2 SOG
STL vs ANA 7:00 PM CT 1.5 -130 -105 52.5% 53.9% 1.89 21.7 (2.0) — -4.6% 0 SOG
ANA @ STL 7:00 PM CT 2.5 -140 +105 54.5% 52.3% 2.72 18.1 (2.0) — -10.3% 0 SOG
ANA @ STL 7:00 PM CT 1.5 -145 +110 55.4% 52.3% 1.71 12.9 (0.8) — -11.7% 3 SOG
ANA @ STL 7:00 PM CT 1.5 -105 -125 48.0% 52.2% 1.90 17.9 (1.9) — +1.9% 1 SOG
ANA @ STL 7:00 PM CT 1.5 -105 -125 48.0% 52.1% 1.89 16.1 (2.0) — +1.8% 1 SOG
STL vs ANA 7:00 PM CT 1.5 -120 -110 51.0% 52.1% 1.83 16.8 (2.0) — -4.5% 5 SOG
STL vs ANA 7:00 PM CT 2.5 -150 +115 56.3% 51.7% 2.65 16.1 (2.3) UNDER lean +3.8% W 1 SOG · +1.15u
ANA @ STL 7:00 PM CT 1.5 -110 -120 49.0% 47.7% 1.62 15.9 (1.5) — -8.9% 3 SOG
STL vs ANA 7:00 PM CT 2.5 +100 -130 46.9% 44.9% 2.41 17.5 (2.1) — -10.2% 2 SOG
STL vs ANA 7:00 PM CT 2.5 +130 -175 40.6% 39.5% 2.25 19.7 (2.4) — -9.2% 1 SOG
STL vs ANA 7:00 PM CT 2.5 +140 -185 39.1% 38.8% 2.26 19.0 (2.3) — -6.9% 2 SOG
VAN vs UTA 7:00 PM CT 1.5 -185 +140 60.9% 61.5% 2.18 17.0 (2.9) — -5.2% 2 SOG
UTA @ VAN 7:00 PM CT 1.5 -185 +140 60.9% 58.9% 1.95 17.2 (2.9) — -9.2% 1 SOG
UTA @ VAN 7:00 PM CT 1.5 -170 +125 58.6% 58.5% 2.04 18.4 (3.2) — -7.0% 1 SOG
VAN vs UTA 7:00 PM CT 1.5 -150 +115 56.3% 58.5% 2.08 18.0 (3.3) — -2.6% 1 SOG
VAN vs UTA 7:00 PM CT 1.5 -175 +130 59.4% 57.6% 1.91 18.1 (3.1) — -9.4% 1 SOG
VAN vs UTA 7:00 PM CT 1.5 -155 +120 57.2% 56.2% 1.92 16.2 (2.9) — -7.5% 2 SOG
UTA @ VAN 7:00 PM CT 1.5 -115 -115 50.0% 56.1% 2.10 18.7 (1.9) OVER lean +4.9% W 2 SOG · +0.87u
UTA @ VAN 7:00 PM CT 2.5 -155 +120 57.2% 51.9% 2.64 18.1 (3.3) UNDER best +5.9% L 3 SOG · -1.00u
UTA @ VAN 7:00 PM CT 1.5 +110 -145 44.6% 46.2% 1.64 23.7 (3.3) — -2.9% 1 SOG
UTA @ VAN 7:00 PM CT 2.5 -105 -130 47.5% 46.2% 2.51 19.3 (3.5) — -9.9% 5 SOG
VAN vs UTA 7:00 PM CT 2.5 +105 -140 45.5% 43.0% 2.36 24.5 (4.0) — -11.9% 5 SOG
WPG @ SEA 8:00 PM CT 1.5 -190 +140 61.1% 63.8% 2.31 23.9 (2.6) — -2.6% 2 SOG
SEA vs WPG 8:00 PM CT 1.5 -170 +125 58.6% 62.2% 2.26 22.6 (2.3) — -1.3% 2 SOG
WPG @ SEA 8:00 PM CT 1.5 -170 +125 58.6% 59.5% 2.10 19.4 (2.6) — -5.4% 1 SOG
WPG @ SEA 8:00 PM CT 1.5 -130 -105 52.5% 56.1% 2.06 17.8 (2.6) — -0.7% 1 SOG
SEA vs WPG 8:00 PM CT 1.5 -160 +120 57.5% 55.7% 1.84 15.6 (0.5) — -9.5% 1 SOG
SEA vs WPG 8:00 PM CT 1.5 -135 +105 54.1% 55.4% 1.94 18.7 (2.3) — -3.6% 4 SOG
WPG @ SEA 8:00 PM CT 2.5 -140 +105 54.5% 55.1% 2.99 20.1 (2.6) — -5.5% 3 SOG
SEA vs WPG 8:00 PM CT 1.5 -120 -110 51.0% 55.1% 2.02 16.5 (2.2) — +1.0% 0 SOG
SEA vs WPG 8:00 PM CT 1.5 -120 -110 51.0% 52.4% 1.83 16.9 (1.9) — -4.0% 1 SOG
WPG @ SEA 8:00 PM CT 1.5 +100 -135 46.5% 50.4% 1.84 15.2 (1.1) — +0.8% 1 SOG
SEA vs WPG 8:00 PM CT 2.5 +100 -130 46.9% 47.2% 2.61 22.7 (2.3) — -5.6% 3 SOG
SEA vs WPG 8:00 PM CT 1.5 +110 -145 44.6% 47.2% 1.72 14.0 (2.4) — -0.9% 1 SOG
WPG @ SEA 8:00 PM CT 2.5 -110 -120 49.0% 47.0% 2.54 15.8 (2.3) — -10.4% 2 SOG
SEA vs WPG 8:00 PM CT 2.5 +145 -200 38.0% 39.9% 2.37 17.6 (2.1) — -2.2% 1 SOG
SEA vs WPG 8:00 PM CT 2.5 +150 -200 37.5% 36.8% 2.16 15.8 (2.1) — -8.0% 2 SOG

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