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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
2
Lines priced
30
Best bets
1
Leans
3
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Cutter Gauthier
ANA @ OTT · 6:30 PM CT · F
UNDER 1.5
Price+120
Model48.3%
Book42.8%
EV+6.3%
Fair+107
Stake1.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.61 SOG · 14.0 min (1.7 PP) L 4 SOG · -1.00u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
NYR @ BUF 6:00 PM CT 1.5 -175 +130 59.4% 58.8% 2.01 14.3 (1.2) — -7.6% 2 SOG
BUF vs NYR 6:00 PM CT 1.5 -155 +120 57.2% 55.7% 1.87 13.5 (1.7) — -8.4% 3 SOG
NYR @ BUF 6:00 PM CT 1.5 -140 +105 54.5% 53.4% 1.79 23.6 (3.0) — -8.4% 1 SOG
BUF vs NYR 6:00 PM CT 1.5 -130 +100 53.1% 51.7% 1.71 22.7 (2.3) — -8.6% 3 SOG
BUF vs NYR 6:00 PM CT 2.5 -135 +100 53.5% 50.7% 2.66 18.9 (2.7) — -11.8% 1 SOG
BUF vs NYR 6:00 PM CT 2.5 -125 -105 52.0% 50.5% 2.68 18.0 (2.7) — -9.1% 3 SOG
BUF vs NYR 6:00 PM CT 2.5 -105 -125 48.0% 48.6% 2.66 18.2 (3.0) — -5.2% 1 SOG
NYR @ BUF 6:00 PM CT 1.5 -115 -115 50.0% 48.3% 1.62 14.9 (1.0) — -9.7% 2 SOG
NYR @ BUF 6:00 PM CT 2.5 -110 -120 49.0% 47.3% 2.52 21.7 (3.2) — -9.8% 4 SOG
NYR @ BUF 6:00 PM CT 2.5 -115 -115 50.0% 45.7% 2.39 17.5 (3.2) — -14.6% 1 SOG
BUF vs NYR 6:00 PM CT 3.5 -110 -125 48.5% 43.9% 3.24 18.2 (2.9) — -16.2% 5 SOG
NYR @ BUF 6:00 PM CT 2.5 -105 -125 48.0% 42.5% 2.22 19.1 (3.0) UNDER lean +3.6% L 5 SOG · -1.00u
NYR @ BUF 6:00 PM CT 2.5 +115 -150 43.7% 42.1% 2.33 17.6 (1.5) — -9.6% 2 SOG
NYR @ BUF 6:00 PM CT 3.5 +105 -140 45.5% 41.1% 3.11 20.8 (3.3) — -15.7% 2 SOG
BUF vs NYR 6:00 PM CT 2.5 +130 -175 40.6% 40.4% 2.31 15.4 (2.9) — -7.2% 2 SOG
OTT vs ANA 6:30 PM CT 1.5 -200 +150 62.5% 62.0% 2.16 18.1 (2.3) — -7.0% 2 SOG
OTT vs ANA 6:30 PM CT 1.5 -185 +140 60.9% 58.8% 1.95 16.7 (1.6) — -9.4% 2 SOG
ANA @ OTT 6:30 PM CT 1.5 -180 +135 60.2% 56.7% 1.85 17.1 (2.1) — -11.8% 0 SOG
ANA @ OTT 6:30 PM CT 1.5 -185 +135 60.4% 55.5% 1.75 18.9 (2.7) UNDER lean +4.7% L 4 SOG · -1.00u
ANA @ OTT 6:30 PM CT 1.5 -155 +120 57.2% 51.7% 1.61 14.0 (1.7) UNDER best +6.3% L 4 SOG · -1.00u
OTT vs ANA 6:30 PM CT 2.5 -105 -125 48.0% 48.6% 2.69 20.5 (3.8) — -5.1% 0 SOG
OTT vs ANA 6:30 PM CT 2.5 -110 -120 49.0% 48.5% 2.62 18.3 (3.6) — -7.5% 5 SOG
ANA @ OTT 6:30 PM CT 1.5 -110 -120 49.0% 48.5% 1.65 15.8 (1.8) — -7.5% 1 SOG
OTT vs ANA 6:30 PM CT 1.5 -135 +100 53.5% 48.1% 1.52 12.5 (0.3) UNDER lean +3.9% L 4 SOG · -1.00u
ANA @ OTT 6:30 PM CT 2.5 -110 -125 48.5% 44.7% 2.37 19.4 (2.7) — -14.6% 2 SOG
OTT vs ANA 6:30 PM CT 2.5 -110 -125 48.5% 43.5% 2.26 22.2 (2.2) — -16.9% 3 SOG
OTT vs ANA 6:30 PM CT 4.5 +105 -140 45.5% 42.7% 4.19 18.4 (3.9) — -12.4% 3 SOG
OTT vs ANA 6:30 PM CT 2.5 +115 -150 43.7% 42.3% 2.33 17.9 (3.6) — -9.0% 3 SOG
ANA @ OTT 6:30 PM CT 3.5 +135 -180 39.8% 37.3% 3.01 18.7 (2.6) — -12.4% 3 SOG
OTT vs ANA 6:30 PM CT 2.5 +140 -190 38.9% 36.4% 2.08 23.7 (4.0) — -12.5% 2 SOG

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