← 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
4
Lines priced
48
Best bets
2
Leans
3
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Barrett Hayton
UTA vs CBJ · 8:00 PM CT · F
UNDER 1.5
Price+140
Model44.9%
Book39.1%
EV+7.9%
Fair+123
Stake1.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.68 SOG · 14.6 min (1.2 PP) role change L 4 SOG · -1.00u
Robert Thomas
STL @ COL · 8:00 PM CT · F
UNDER 1.5
Price+145
Model42.9%
Book38.2%
EV+5.2%
Fair+133
Stake0.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.83 SOG · 18.5 min (2.2 PP) W 0 SOG · +1.45u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
BUF vs NSH 6:00 PM CT 1.5 -200 +150 62.5% 64.4% 2.33 17.9 (2.0) — -3.4% 2 SOG
BUF vs NSH 6:00 PM CT 1.5 -165 +125 58.4% 62.3% 2.32 17.7 (2.9) — +0.0% 3 SOG
BUF vs NSH 6:00 PM CT 1.5 -185 +140 60.9% 58.7% 1.94 14.5 (1.6) — -9.6% 2 SOG
BUF vs NSH 6:00 PM CT 1.5 -170 +130 59.2% 58.4% 1.99 16.7 (3.0) — -7.3% 2 SOG
BUF vs NSH 6:00 PM CT 2.5 -170 +125 58.6% 57.4% 2.98 18.4 (3.1) — -8.8% 0 SOG
NSH @ BUF 6:00 PM CT 1.5 -145 +110 55.4% 56.3% 1.97 18.6 (3.0) — -4.9% 4 SOG
NSH @ BUF 6:00 PM CT 2.5 -160 +120 57.5% 55.4% 2.87 18.3 (3.3) — -9.9% 0 SOG
NSH @ BUF 6:00 PM CT 1.5 -140 +105 54.5% 54.5% 1.86 20.7 (1.5) — -6.6% 1 SOG
NSH @ BUF 6:00 PM CT 2.5 -140 +105 54.5% 54.1% 2.88 25.3 (3.3) — -7.3% 2 SOG
BUF vs NSH 6:00 PM CT 2.5 +115 -150 43.7% 45.1% 2.54 24.1 (3.2) — -3.0% 2 SOG
NSH @ BUF 6:00 PM CT 3.5 -110 -120 49.0% 44.6% 3.29 18.4 (3.1) — -15.0% 5 SOG
BUF vs NSH 6:00 PM CT 2.5 +115 -155 43.4% 43.2% 2.41 17.6 (3.1) — -7.1% 2 SOG
BUF vs NSH 6:00 PM CT 2.5 +150 -200 37.5% 39.0% 2.32 18.7 (2.0) — -2.4% 1 SOG
NSH @ BUF 6:00 PM CT 2.5 +135 -185 39.6% 37.9% 2.15 17.4 (3.1) — -11.0% 1 SOG
VAN @ DAL 7:00 PM CT 1.5 -165 +125 58.4% 61.1% 2.20 18.2 (2.5) — -1.8% 3 SOG
DAL vs VAN 7:00 PM CT 1.5 -195 +145 61.8% 57.6% 1.83 16.1 (2.5) UNDER lean +4.0% L 2 SOG · -1.00u
VAN @ DAL 7:00 PM CT 1.5 -160 +120 57.5% 57.5% 1.97 17.9 (2.8) — -6.6% 4 SOG
DAL vs VAN 7:00 PM CT 1.5 -160 +120 57.5% 56.5% 1.92 17.0 (2.9) — -8.2% 1 SOG
VAN @ DAL 7:00 PM CT 1.5 -150 +115 56.3% 55.3% 1.87 18.1 (2.8) — -7.9% 3 SOG
DAL vs VAN 7:00 PM CT 1.5 -135 +100 53.5% 53.1% 1.79 18.1 (2.8) — -7.6% 3 SOG
VAN @ DAL 7:00 PM CT 1.5 -120 -110 51.0% 50.5% 1.74 16.4 (1.8) — -7.5% 4 SOG
DAL vs VAN 7:00 PM CT 2.5 -110 -120 49.0% 45.2% 2.40 18.7 (3.3) — -13.8% 2 SOG
DAL vs VAN 7:00 PM CT 2.5 +100 -135 46.5% 44.7% 2.45 19.3 (3.2) — -10.5% 0 SOG
VAN @ DAL 7:00 PM CT 2.5 +115 -155 43.4% 41.7% 2.30 26.0 (3.2) — -10.4% 1 SOG
DAL vs VAN 7:00 PM CT 2.5 +125 -170 41.4% 37.7% 2.10 15.7 (1.7) — -15.2% 1 SOG
DAL vs VAN 7:00 PM CT 2.5 +140 -185 39.1% 32.4% 1.79 23.7 (1.6) UNDER lean +4.2% W 1 SOG · +0.54u
COL vs STL 8:00 PM CT 1.5 -195 +145 61.8% 60.7% 2.07 25.3 (1.4) — -8.2% 1 SOG
COL vs STL 8:00 PM CT 1.5 -180 +135 60.2% 59.8% 2.06 18.1 (2.8) — -6.9% 2 SOG
STL @ COL 8:00 PM CT 1.5 -195 +145 61.8% 58.8% 1.97 17.3 (1.6) — -11.0% 1 SOG
STL @ COL 8:00 PM CT 1.5 -195 +145 61.8% 57.1% 1.83 18.5 (2.2) UNDER best +5.2% W 0 SOG · +1.45u
COL vs STL 8:00 PM CT 3.5 -145 +110 55.4% 55.5% 4.00 22.4 (3.5) — -6.3% 4 SOG
STL @ COL 8:00 PM CT 1.5 -145 +110 55.4% 54.8% 1.84 18.3 (2.1) — -7.4% 2 SOG
COL vs STL 8:00 PM CT 1.5 -145 +110 55.4% 53.6% 1.80 14.6 (1.5) — -9.5% 0 SOG
COL vs STL 8:00 PM CT 2.5 -130 +100 53.1% 50.9% 2.68 25.8 (3.3) — -9.9% 1 SOG
COL vs STL 8:00 PM CT 2.5 -120 -110 51.0% 49.5% 2.65 19.6 (3.2) — -9.3% 4 SOG
STL @ COL 8:00 PM CT 2.5 -110 -120 49.0% 46.5% 2.45 17.5 (2.1) — -11.3% 3 SOG
UTA vs CBJ 8:00 PM CT 1.5 -195 +145 61.8% 62.4% 2.22 18.7 (3.1) — -5.6% 3 SOG
CBJ @ UTA 8:00 PM CT 1.5 -195 +145 61.8% 62.1% 2.20 18.2 (2.6) — -6.1% 2 SOG
CBJ @ UTA 8:00 PM CT 2.5 -175 +130 59.4% 59.4% 3.14 27.0 (2.8) — -6.7% 5 SOG
CBJ @ UTA 8:00 PM CT 1.5 -150 +115 56.3% 57.3% 2.01 17.5 (1.3) — -4.4% 0 SOG
UTA vs CBJ 8:00 PM CT 1.5 -135 +105 54.1% 55.2% 1.93 24.9 (3.1) — -3.9% 1 SOG
UTA vs CBJ 8:00 PM CT 1.5 -185 +140 60.9% 55.1% 1.68 14.6 (1.2) UNDER best +7.9% L 4 SOG · -1.00u
UTA vs CBJ 8:00 PM CT 1.5 -145 +110 55.4% 54.1% 1.86 14.6 (2.4) — -8.5% 1 SOG
CBJ @ UTA 8:00 PM CT 1.5 -110 -120 49.0% 50.7% 1.80 16.9 (2.6) — -3.3% 1 SOG
UTA vs CBJ 8:00 PM CT 1.5 -150 +110 55.8% 50.5% 1.59 13.6 (1.5) UNDER lean +3.9% L 6 SOG · -1.00u
UTA vs CBJ 8:00 PM CT 2.5 -110 -120 49.0% 48.7% 2.66 18.6 (3.1) — -7.1% 6 SOG
CBJ @ UTA 8:00 PM CT 2.5 -110 -120 49.0% 48.0% 2.58 19.9 (2.8) — -8.4% 1 SOG
CBJ @ UTA 8:00 PM CT 2.5 +135 -185 39.6% 40.0% 2.30 19.2 (2.1) — -6.0% 4 SOG

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