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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
81
Best bets
0
Leans
4
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
PIT @ NYI 6:00 PM CT 1.5 -120 -115 50.5% 53.2% 1.95 15.7 (2.5) — -2.5% 4 SOG
PIT @ NYI 6:00 PM CT 1.5 -145 +110 55.4% 52.8% 1.72 13.8 (1.4) — -10.9% 3 SOG
PIT @ NYI 6:00 PM CT 2.5 -130 -105 52.5% 51.5% 2.71 19.5 (2.9) — -9.0% 1 SOG
NYI vs PIT 6:00 PM CT 1.5 -120 -110 51.0% 51.4% 1.77 16.8 (2.7) — -5.8% 1 SOG
PIT @ NYI 6:00 PM CT 1.5 +100 -135 46.5% 48.6% 1.77 15.1 (1.3) — -2.7% 0 SOG
NYI vs PIT 6:00 PM CT 1.5 -115 -115 50.0% 48.6% 1.58 21.8 (0.6) — -9.1% 1 SOG
PIT @ NYI 6:00 PM CT 2.5 -120 -110 51.0% 47.3% 2.39 16.4 (1.9) — -13.3% 3 SOG
PIT @ NYI 6:00 PM CT 2.5 +100 -135 46.5% 47.1% 2.64 19.1 (3.0) — -5.8% 3 SOG
PIT @ NYI 6:00 PM CT 2.5 -115 -115 50.0% 46.8% 2.43 23.7 (2.8) — -12.4% 2 SOG
NYI vs PIT 6:00 PM CT 2.5 -105 -125 48.0% 45.6% 2.39 16.4 (2.0) — -11.0% 1 SOG
NYI vs PIT 6:00 PM CT 1.5 +100 -135 46.5% 45.5% 1.52 14.9 (2.9) — -9.0% 0 SOG
NYI vs PIT 6:00 PM CT 2.5 +105 -135 45.9% 45.2% 2.48 19.5 (3.4) — -7.4% 3 SOG
PIT @ NYI 6:00 PM CT 1.5 +130 -170 40.9% 44.8% 1.73 21.8 (1.5) OVER lean +3.1% L 0 SOG · -1.00u
NYI vs PIT 6:00 PM CT 3.5 -105 -130 47.5% 44.7% 3.23 20.8 (3.3) — -12.8% 3 SOG
PIT @ NYI 6:00 PM CT 2.5 +100 -130 46.9% 43.7% 2.26 17.0 (2.7) — -12.7% 3 SOG
NYI vs PIT 6:00 PM CT 2.5 +120 -160 42.5% 40.3% 2.23 17.5 (1.8) — -11.3% 0 SOG
NYI vs PIT 6:00 PM CT 3.5 +130 -175 40.6% 37.3% 2.89 26.6 (3.6) — -14.3% 4 SOG
CGY @ COL 7:30 PM CT 1.5 -200 +145 62.0% 62.1% 2.19 18.5 (1.6) — -6.8% 0 SOG
COL vs CGY 7:30 PM CT 1.5 -175 +130 59.4% 57.0% 1.81 18.5 (0.4) — -10.4% 4 SOG
CGY @ COL 7:30 PM CT 1.5 -155 +115 56.7% 56.3% 1.90 15.9 (2.4) — -7.3% 1 SOG
COL vs CGY 7:30 PM CT 2.5 -170 +125 58.6% 56.1% 2.81 24.9 (3.8) — -10.9% 2 SOG
COL vs CGY 7:30 PM CT 1.5 -150 +110 55.8% 53.8% 1.75 11.7 (0.9) — -10.3% 0 SOG
COL vs CGY 7:30 PM CT 2.5 -135 +100 53.5% 53.8% 2.92 22.0 (3.8) — -6.4% 3 SOG
CGY @ COL 7:30 PM CT 1.5 -135 +105 54.1% 53.0% 1.76 16.2 (1.4) — -7.7% 1 SOG
CGY @ COL 7:30 PM CT 1.5 -135 +100 53.5% 52.0% 1.71 14.2 (1.5) — -9.5% 3 SOG
COL vs CGY 7:30 PM CT 2.5 -110 -120 49.0% 49.3% 2.72 19.9 (3.7) — -6.0% 1 SOG
COL vs CGY 7:30 PM CT 2.5 +105 -140 45.5% 48.3% 2.84 17.6 (3.4) — -0.9% 5 SOG
CGY @ COL 7:30 PM CT 1.5 +100 -130 46.9% 48.2% 1.73 15.6 (2.5) — -3.7% 1 SOG
COL vs CGY 7:30 PM CT 1.5 +100 -130 46.9% 46.6% 1.59 20.4 (1.2) — -6.8% 2 SOG
COL vs CGY 7:30 PM CT 4.5 +105 -135 45.9% 45.2% 4.40 22.8 (3.9) — -7.4% 5 SOG
CGY @ COL 7:30 PM CT 2.5 +105 -140 45.5% 44.0% 2.38 17.8 (2.0) — -9.8% 6 SOG
COL vs CGY 7:30 PM CT 2.5 +125 -165 41.7% 43.3% 2.54 18.0 (2.4) — -2.5% 3 SOG
CGY @ COL 7:30 PM CT 2.5 +110 -150 44.3% 42.3% 2.27 16.5 (2.6) — -11.3% 2 SOG
COL vs CGY 7:30 PM CT 2.5 +145 -190 38.4% 38.1% 2.21 17.0 (1.4) — -6.8% 4 SOG
COL vs CGY 7:30 PM CT 2.5 +145 -200 38.0% 34.1% 1.84 14.9 (1.7) — -16.4% 3 SOG
COL vs CGY 7:30 PM CT 2.5 +135 -185 39.6% 33.2% 1.73 17.2 (0.7) UNDER lean +2.9% L 3 SOG · -1.00u
VGK vs VAN 9:00 PM CT 1.5 -195 +145 61.8% 59.9% 1.96 22.4 (1.3) — -9.4% 3 SOG
VAN @ VGK 9:00 PM CT 1.5 -200 +145 62.0% 58.8% 1.84 15.1 (2.6) — -11.9% 1 SOG
VAN @ VGK 9:00 PM CT 1.5 -175 +130 59.4% 58.1% 1.95 18.3 (2.8) — -8.8% 3 SOG
VGK vs VAN 9:00 PM CT 2.5 -165 +125 58.4% 56.9% 2.95 18.2 (3.4) — -8.7% 3 SOG
VGK vs VAN 9:00 PM CT 1.5 -135 +100 53.5% 53.3% 1.81 16.4 (1.2) — -7.2% 2 SOG
VGK vs VAN 9:00 PM CT 1.5 -135 +105 54.1% 52.7% 1.75 21.8 (1.2) — -8.2% 2 SOG
VAN @ VGK 9:00 PM CT 1.5 -130 -105 52.5% 51.4% 1.72 16.3 (1.1) — -9.0% 3 SOG
VAN @ VGK 9:00 PM CT 1.5 -115 -115 50.0% 49.0% 1.63 17.4 (2.7) — -8.5% 4 SOG
VGK vs VAN 9:00 PM CT 1.5 -120 -110 51.0% 48.9% 1.61 20.7 (0.4) — -10.3% 2 SOG
VGK vs VAN 9:00 PM CT 3.5 +105 -140 45.5% 44.8% 3.41 21.1 (3.5) — -8.2% 3 SOG
VGK vs VAN 9:00 PM CT 2.5 +105 -135 45.9% 43.1% 2.29 20.2 (3.5) — -11.6% 1 SOG
VGK vs VAN 9:00 PM CT 2.5 +120 -160 42.5% 41.2% 2.30 15.8 (3.4) — -9.3% 4 SOG
VGK vs VAN 9:00 PM CT 2.5 +130 -170 40.9% 40.7% 2.32 19.5 (3.3) — -6.3% 0 SOG
VAN @ VGK 9:00 PM CT 2.5 +145 -195 38.2% 34.3% 1.87 14.9 (1.4) — -16.0% 5 SOG
ANA vs TOR 9:00 PM CT 1.5 -175 +130 59.4% 60.2% 2.11 17.0 (1.9) — -5.4% 0 SOG
ANA vs TOR 9:00 PM CT 1.5 -165 +125 58.4% 58.3% 2.01 22.5 (1.0) — -6.4% 2 SOG
ANA vs TOR 9:00 PM CT 1.5 -130 +100 53.1% 56.1% 2.10 24.3 (3.1) — -0.8% 1 SOG
ANA vs TOR 9:00 PM CT 1.5 -160 +120 57.5% 55.0% 1.77 12.7 (2.0) — -10.6% 0 SOG
TOR @ ANA 9:00 PM CT 1.5 -130 +100 53.1% 53.2% 1.85 17.8 (2.8) — -5.9% 1 SOG
TOR @ ANA 9:00 PM CT 1.5 -135 +105 54.1% 53.2% 1.79 13.8 (1.5) — -7.4% 1 SOG
ANA vs TOR 9:00 PM CT 2.5 -140 +105 54.5% 51.9% 2.65 18.6 (3.3) — -11.1% 4 SOG
TOR @ ANA 9:00 PM CT 2.5 -125 -110 51.5% 51.4% 2.79 20.5 (2.8) — -7.5% 8 SOG
TOR @ ANA 9:00 PM CT 1.5 -115 -115 50.0% 50.6% 1.75 16.5 (1.6) — -5.4% 3 SOG
ANA vs TOR 9:00 PM CT 3.5 -140 +105 54.5% 50.2% 3.43 17.2 (3.2) UNDER lean +2.0% W 1 SOG · +1.05u
ANA vs TOR 9:00 PM CT 2.5 -125 -105 52.0% 49.7% 2.58 18.0 (3.0) — -10.6% 2 SOG
ANA vs TOR 9:00 PM CT 2.5 -120 -110 51.0% 49.0% 2.56 16.6 (2.7) — -10.2% 3 SOG
TOR @ ANA 9:00 PM CT 1.5 -110 -125 48.5% 47.2% 1.57 14.1 (2.3) — -9.9% 0 SOG
TOR @ ANA 9:00 PM CT 1.5 +105 -135 45.9% 46.7% 1.66 19.4 (2.2) — -4.2% 2 SOG
TOR @ ANA 9:00 PM CT 2.5 -110 -120 49.0% 46.1% 2.37 18.3 (2.7) — -12.1% 4 SOG
TOR @ ANA 9:00 PM CT 1.5 +115 -150 43.7% 44.2% 1.55 15.0 (1.5) — -4.9% 0 SOG
ANA vs TOR 9:00 PM CT 2.5 +115 -150 43.7% 43.6% 2.43 24.3 (2.5) — -6.3% 4 SOG
ANA vs TOR 9:00 PM CT 2.5 +140 -190 38.9% 38.4% 2.19 17.5 (3.4) — -7.9% 3 SOG
ANA vs TOR 9:00 PM CT 2.5 +145 -195 38.2% 36.9% 2.12 18.5 (2.8) — -9.7% 1 SOG
SJS vs STL 9:00 PM CT 1.5 -180 +135 60.2% 62.0% 2.26 18.1 (3.0) — -3.6% 0 SOG
STL @ SJS 9:00 PM CT 1.5 -140 +105 54.5% 55.0% 1.92 17.6 (2.2) — -5.7% 3 SOG
STL @ SJS 9:00 PM CT 1.5 -130 +100 53.1% 54.4% 1.96 19.6 (2.7) — -3.7% 1 SOG
STL @ SJS 9:00 PM CT 2.5 -150 +110 55.8% 52.9% 2.70 18.7 (2.5) — -11.8% 4 SOG
STL @ SJS 9:00 PM CT 2.5 -135 +105 54.1% 50.2% 2.51 18.0 (2.3) UNDER lean +2.1% L 3 SOG · -1.00u
SJS vs STL 9:00 PM CT 1.5 -125 -105 52.0% 49.9% 1.62 14.0 (1.2) — -10.2% 2 SOG
SJS vs STL 9:00 PM CT 1.5 -125 -105 52.0% 49.0% 1.54 15.5 (0.2) — -11.8% 1 SOG
SJS vs STL 9:00 PM CT 3.5 -105 -125 48.0% 47.4% 3.57 22.1 (3.9) — -7.4% 5 SOG
SJS vs STL 9:00 PM CT 2.5 +115 -150 43.7% 44.8% 2.57 19.2 (3.6) — -3.8% 3 SOG
STL @ SJS 9:00 PM CT 2.5 +105 -135 45.9% 44.1% 2.37 15.0 (2.0) — -9.6% 0 SOG
SJS vs STL 9:00 PM CT 2.5 +100 -135 46.5% 43.8% 2.28 17.4 (1.8) — -12.4% 5 SOG
SJS vs STL 9:00 PM CT 2.5 +135 -185 39.6% 37.9% 2.13 14.0 (3.1) — -11.0% 3 SOG

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