← 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
3
Lines priced
45
Best bets
5
Leans
8
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Andrei Svechnikov
CAR @ PHI · 6:00 PM CT · F
UNDER 2.5
Price+105
Model54.6%
Book45.5%
EV+12.0%
Fair-120
Stake2.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.06 SOG · 16.6 min (3.6 PP) W 1 SOG · +1.05u
Sebastian Aho
CAR @ PHI · 6:00 PM CT · F
UNDER 2.5
Price+100
Model54.8%
Book46.5%
EV+9.5%
Fair-121
Stake2.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.11 SOG · 19.9 min (3.7 PP) W 2 SOG · +1.00u
Mika Zibanejad
NYR vs VAN · 5:00 PM CT · F
UNDER 2.5
Price+115
Model50.9%
Book43.7%
EV+9.4%
Fair-104
Stake2.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.36 SOG · 19.6 min (3.2 PP) L 3 SOG · -1.00u
Cole Hutson
WSH vs SEA · 4:00 PM CT · D
UNDER 1.5
Price+130
Model47.4%
Book40.6%
EV+9.1%
Fair+111
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.55 SOG · 18.6 min (2.3 PP) L 5 SOG · -1.00u
Matvei Michkov
PHI vs CAR · 6:00 PM CT · F
UNDER 2.5
Price-195
Model70.1%
Book61.8%
EV+6.1%
Fair-235
Stake3.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.56 SOG · 14.2 min (2.3 PP) W 0 SOG · +0.51u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
WSH vs SEA 4:00 PM CT 1.5 -170 +125 58.6% 59.1% 2.06 14.2 (1.9) — -6.2% 1 SOG
SEA @ WSH 4:00 PM CT 1.5 -165 +120 57.8% 57.4% 1.95 15.8 (2.3) — -7.8% 1 SOG
WSH vs SEA 4:00 PM CT 1.5 -155 +115 56.7% 56.7% 1.99 19.0 (2.1) — -6.7% 3 SOG
SEA @ WSH 4:00 PM CT 1.5 -165 +125 58.4% 56.4% 1.85 20.5 (2.3) — -9.5% 2 SOG
SEA @ WSH 4:00 PM CT 1.5 -185 +125 59.4% 56.1% 1.79 14.9 (2.3) — -13.6% 2 SOG
WSH vs SEA 4:00 PM CT 1.5 -175 +130 59.4% 52.6% 1.55 18.6 (2.3) UNDER best +9.1% L 5 SOG · -1.00u
SEA @ WSH 4:00 PM CT 1.5 -115 -150 47.1% 49.1% 1.77 17.2 (2.4) — -8.2% 6 SOG
WSH vs SEA 4:00 PM CT 2.5 -105 -125 48.0% 48.2% 2.68 16.1 (4.0) — -5.8% 3 SOG
WSH vs SEA 4:00 PM CT 1.5 +115 -155 43.4% 47.5% 1.80 15.6 (0.5) OVER lean +2.1% W 5 SOG · +1.15u
WSH vs SEA 4:00 PM CT 1.5 -115 -115 50.0% 45.9% 1.43 14.8 (1.6) — -14.3% 0 SOG
WSH vs SEA 4:00 PM CT 1.5 +105 -140 45.5% 45.8% 1.61 14.5 (2.4) — -6.2% 1 SOG
SEA @ WSH 4:00 PM CT 1.5 +125 -165 41.7% 45.7% 1.74 18.0 (2.6) OVER lean +2.9% L 1 SOG · -1.00u
WSH vs SEA 4:00 PM CT 2.5 +100 -165 44.5% 44.8% 2.52 19.3 (2.0) — -10.5% 2 SOG
SEA @ WSH 4:00 PM CT 2.5 -120 -150 47.6% 44.1% 2.28 16.5 (1.4) — -19.1% 4 SOG
WSH vs SEA 4:00 PM CT 2.5 +110 -145 44.6% 43.1% 2.34 23.6 (2.5) — -9.6% 8 SOG
SEA @ WSH 4:00 PM CT 2.5 +100 -180 43.8% 42.3% 2.35 23.0 (2.3) — -15.4% 1 SOG
WSH vs SEA 4:00 PM CT 2.5 +120 -160 42.5% 36.0% 1.85 14.4 (2.1) UNDER lean +4.0% L 4 SOG · -1.00u
WSH vs SEA 4:00 PM CT 2.5 +140 -185 39.1% 33.3% 1.81 17.1 (0.4) UNDER lean +2.8% W 1 SOG · +0.54u
VAN @ NYR 5:00 PM CT 1.5 -155 +115 56.7% 53.2% 1.69 18.5 (2.8) — -12.4% 1 SOG
NYR vs VAN 5:00 PM CT 1.5 -160 +120 57.5% 52.8% 1.61 15.2 (1.2) UNDER lean +3.8% L 3 SOG · -1.00u
NYR vs VAN 5:00 PM CT 1.5 -175 -115 54.3% 52.7% 1.74 23.0 (3.2) — -17.3% 2 SOG
NYR vs VAN 5:00 PM CT 2.5 -150 +115 56.3% 49.1% 2.36 19.6 (3.2) UNDER best +9.4% L 3 SOG · -1.00u
NYR vs VAN 5:00 PM CT 1.5 -115 -115 50.0% 48.9% 1.65 16.1 (1.4) — -8.5% 2 SOG
NYR vs VAN 5:00 PM CT 1.5 -105 -125 48.0% 46.8% 1.56 14.4 (1.2) — -8.6% 2 SOG
VAN @ NYR 5:00 PM CT 1.5 -105 -125 48.0% 46.5% 1.56 23.8 (2.8) — -9.2% 1 SOG
VAN @ NYR 5:00 PM CT 2.5 -110 -145 47.0% 42.9% 2.23 17.4 (2.8) — -18.2% 1 SOG
NYR vs VAN 5:00 PM CT 1.5 +110 -150 44.3% 41.8% 1.37 22.4 (1.0) — -12.2% 1 SOG
VAN @ NYR 5:00 PM CT 1.5 +135 -180 39.8% 41.7% 1.55 15.3 (0.7) — -2.0% 0 SOG
NYR vs VAN 5:00 PM CT 2.5 +130 -175 40.6% 38.0% 2.12 18.3 (3.1) — -12.5% 2 SOG
NYR vs VAN 5:00 PM CT 2.5 +120 -195 40.8% 36.5% 1.97 18.9 (2.9) — -19.8% 1 SOG
NYR vs VAN 5:00 PM CT 3.5 +125 -170 41.4% 35.0% 2.62 17.3 (3.2) UNDER lean +3.3% W 2 SOG · +0.59u
VAN @ NYR 5:00 PM CT 2.5 +140 -190 38.9% 34.9% 1.91 18.7 (3.0) — -16.3% 1 SOG
PHI vs CAR 6:00 PM CT 1.5 -200 +115 58.9% 53.1% 1.60 15.3 (2.5) — -20.4% 0 SOG
PHI vs CAR 6:00 PM CT 1.5 -125 -105 52.0% 48.2% 1.51 16.6 (3.0) — -13.3% 1 SOG
CAR @ PHI 6:00 PM CT 1.5 -135 -115 51.8% 47.6% 1.47 21.0 (0.7) — -17.1% 1 SOG
PHI vs CAR 6:00 PM CT 1.5 -110 -120 49.0% 46.8% 1.57 18.0 (3.3) — -10.6% 1 SOG
CAR @ PHI 6:00 PM CT 2.5 -140 +105 54.5% 45.4% 2.06 16.6 (3.6) UNDER best +12.0% W 1 SOG · +1.05u
CAR @ PHI 6:00 PM CT 2.5 -135 +100 53.5% 45.3% 2.11 19.9 (3.7) UNDER best +9.5% W 2 SOG · +1.00u
CAR @ PHI 6:00 PM CT 1.5 -115 -115 50.0% 44.9% 1.37 17.8 (3.5) UNDER lean +3.1% L 3 SOG · -1.00u
PHI vs CAR 6:00 PM CT 2.5 +110 -160 43.6% 39.0% 2.05 17.4 (2.1) — -18.1% 3 SOG
CAR @ PHI 6:00 PM CT 1.5 +120 -160 42.5% 38.8% 1.22 21.8 (1.5) — -14.7% 1 SOG
CAR @ PHI 6:00 PM CT 2.5 +120 -160 42.5% 36.0% 1.86 16.6 (3.1) UNDER lean +4.0% L 4 SOG · -1.00u
CAR @ PHI 6:00 PM CT 2.5 +140 -190 38.9% 34.4% 1.88 15.4 (3.7) — -17.4% 3 SOG
CAR @ PHI 6:00 PM CT 2.5 +140 -190 38.9% 33.8% 1.87 15.8 (2.1) — -19.0% 3 SOG
PHI vs CAR 6:00 PM CT 2.5 +145 -195 38.2% 29.9% 1.56 14.2 (2.3) UNDER best +6.1% W 0 SOG · +0.51u

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