← 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
39
Best bets
4
Leans
5
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Mika Zibanejad
NYR vs CHI · 6:00 PM CT · F
UNDER 2.5
Price+105
Model54.0%
Book45.5%
EV+10.6%
Fair-117
Stake2.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.28 SOG · 19.0 min (3.2 PP) W 2 SOG · +1.05u
Patrik Laine
MTL vs ANA · 6:30 PM CT · F
UNDER 2.5
Price+120
Model48.5%
Book42.5%
EV+6.6%
Fair+106
Stake1.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.56 SOG · 16.1 min (3.2 PP) W 2 SOG · +1.20u
Tage Thompson
BUF vs DET · 6:00 PM CT · F
UNDER 3.5
Price+100
Model53.1%
Book46.5%
EV+6.2%
Fair-113
Stake1.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 3.31 SOG · 18.3 min (2.8 PP) W 1 SOG · +1.00u
Cutter Gauthier
ANA @ MTL · 6:30 PM CT · F
UNDER 2.5
Price-175
Model67.2%
Book59.4%
EV+5.7%
Fair-205
Stake2.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.81 SOG · 14.1 min (1.9 PP) W 0 SOG · +0.57u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
DET @ BUF 6:00 PM CT 1.5 -140 +105 54.5% 53.4% 1.77 24.5 (2.9) — -8.5% 3 SOG
DET @ BUF 6:00 PM CT 1.5 -130 +100 53.1% 53.2% 1.83 14.7 (1.6) — -6.0% 1 SOG
DET @ BUF 6:00 PM CT 2.5 -155 +115 56.7% 53.0% 2.70 20.2 (3.3) — -12.9% 5 SOG
BUF vs DET 6:00 PM CT 1.5 -145 +110 55.4% 52.3% 1.69 22.8 (2.2) — -11.6% 2 SOG
BUF vs DET 6:00 PM CT 2.5 -140 +105 54.5% 51.9% 2.71 19.0 (2.5) — -11.1% 2 SOG
BUF vs DET 6:00 PM CT 2.5 -120 -110 51.0% 49.4% 2.64 18.1 (2.8) — -9.4% 2 SOG
BUF vs DET 6:00 PM CT 2.5 -115 -115 50.0% 49.2% 2.65 17.9 (2.5) — -8.0% 1 SOG
DET @ BUF 6:00 PM CT 2.5 -120 -110 51.0% 47.3% 2.48 16.7 (2.9) — -13.4% 4 SOG
BUF vs DET 6:00 PM CT 3.5 -135 +100 53.5% 46.9% 3.31 18.3 (2.8) UNDER best +6.2% W 1 SOG · +1.00u
DET @ BUF 6:00 PM CT 2.5 +125 -165 41.7% 41.2% 2.33 17.2 (2.8) — -7.4% 4 SOG
BUF vs DET 6:00 PM CT 2.5 +125 -170 41.4% 40.3% 2.26 15.1 (2.8) — -9.4% 4 SOG
DET @ BUF 6:00 PM CT 2.5 +115 -155 43.4% 39.8% 2.14 19.0 (3.2) — -14.5% 3 SOG
CHI @ NYR 6:00 PM CT 1.5 -190 +140 61.1% 62.9% 2.26 16.1 (1.6) — -4.0% 1 SOG
NYR vs CHI 6:00 PM CT 1.5 -200 +150 62.5% 58.4% 1.91 23.9 (3.2) UNDER lean +4.0% W 0 SOG · +1.50u
CHI @ NYR 6:00 PM CT 1.5 -160 +120 57.5% 56.5% 1.92 16.0 (2.7) — -8.3% 5 SOG
NYR vs CHI 6:00 PM CT 1.5 -155 +115 56.7% 54.4% 1.79 15.5 (1.0) — -10.6% 2 SOG
NYR vs CHI 6:00 PM CT 1.5 -155 +115 56.7% 54.3% 1.78 14.7 (0.8) — -10.7% 3 SOG
CHI @ NYR 6:00 PM CT 1.5 -130 +100 53.1% 53.2% 1.82 16.0 (2.5) — -5.9% 3 SOG
NYR vs CHI 6:00 PM CT 2.5 -155 +115 56.7% 52.5% 2.67 21.5 (3.4) UNDER lean +2.1% W 0 SOG · +1.15u
CHI @ NYR 6:00 PM CT 2.5 -125 -105 52.0% 51.5% 2.76 20.3 (3.0) — -7.4% 1 SOG
NYR vs CHI 6:00 PM CT 2.5 -155 +115 56.7% 51.4% 2.57 17.8 (3.4) UNDER lean +4.4% L 3 SOG · -1.00u
NYR vs CHI 6:00 PM CT 2.5 -140 +105 54.5% 46.0% 2.28 19.0 (3.2) UNDER best +10.6% W 2 SOG · +1.05u
NYR vs CHI 6:00 PM CT 2.5 -110 -120 49.0% 45.9% 2.43 17.2 (1.5) — -12.4% 2 SOG
NYR vs CHI 6:00 PM CT 3.5 -110 -120 49.0% 42.9% 3.12 20.0 (3.4) UNDER lean +4.8% L 7 SOG · -1.00u
CHI @ NYR 6:00 PM CT 2.5 +130 -175 40.6% 39.6% 2.23 15.0 (2.1) — -9.0% 3 SOG
NYR vs CHI 6:00 PM CT 2.5 +130 -175 40.6% 38.7% 2.18 14.1 (1.2) — -10.9% 1 SOG
MTL vs ANA 6:30 PM CT 1.5 -190 +140 61.1% 61.5% 2.17 24.4 (2.9) — -6.1% 2 SOG
MTL vs ANA 6:30 PM CT 1.5 -170 +130 59.2% 59.5% 2.08 13.7 (1.8) — -5.5% 4 SOG
MTL vs ANA 6:30 PM CT 1.5 -160 +120 57.5% 58.0% 1.98 16.7 (3.3) — -5.8% 0 SOG
ANA @ MTL 6:30 PM CT 1.5 -160 +120 57.5% 57.6% 1.96 17.1 (2.5) — -6.4% 0 SOG
ANA @ MTL 6:30 PM CT 1.5 -165 +120 57.8% 55.3% 1.82 15.9 (2.2) — -11.1% 1 SOG
MTL vs ANA 6:30 PM CT 2.5 -160 +120 57.5% 51.5% 2.56 16.1 (3.2) UNDER best +6.6% W 2 SOG · +1.20u
ANA @ MTL 6:30 PM CT 2.5 -115 -115 50.0% 46.5% 2.46 19.3 (2.8) — -13.1% 6 SOG
MTL vs ANA 6:30 PM CT 3.5 +110 -150 44.3% 43.9% 3.45 17.8 (3.4) — -7.8% 1 SOG
MTL vs ANA 6:30 PM CT 2.5 +125 -165 41.7% 42.3% 2.40 19.4 (3.5) — -4.9% 2 SOG
ANA @ MTL 6:30 PM CT 3.5 +100 -135 46.5% 42.1% 3.19 18.6 (2.8) — -15.8% 5 SOG
ANA @ MTL 6:30 PM CT 2.5 +135 -180 39.8% 35.1% 1.97 17.2 (2.1) — -17.6% 3 SOG
ANA @ MTL 6:30 PM CT 2.5 +135 -180 39.8% 34.3% 1.90 19.5 (2.9) UNDER lean +2.2% L 3 SOG · -1.00u
ANA @ MTL 6:30 PM CT 2.5 +130 -175 40.6% 32.8% 1.81 14.1 (1.9) UNDER best +5.7% W 0 SOG · +0.57u

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