← 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
2
Lines priced
37
Best bets
7
Leans
4
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Cutter Gauthier
ANA vs BOS · 9:00 PM CT · F
UNDER 3.5
Price-110
Model60.7%
Book49.0%
EV+15.8%
Fair-154
Stake4.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.61 SOG · 14.8 min (3.4 PP) role change L 4 SOG · -1.00u
Roger McQueen
ANA vs BOS · 9:00 PM CT · F
UNDER 1.5
Price-110
Model56.3%
Book49.0%
EV+7.5%
Fair-129
Stake2.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.26 SOG · 12.2 min (2.0 PP) L 5 SOG · -1.00u
Fraser Minten
BOS @ ANA · 9:00 PM CT · F
UNDER 1.5
Price+120
Model48.8%
Book42.5%
EV+7.4%
Fair+105
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.50 SOG · 15.8 min (1.5 PP) L 2 SOG · -1.00u
James Hagens
BOS @ ANA · 9:00 PM CT · F
UNDER 1.5
Price-105
Model54.7%
Book46.1%
EV+6.7%
Fair-121
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.24 SOG · 13.0 min (1.2 PP) role change L 2 SOG · -1.00u
David Pastrnak
BOS @ ANA · 9:00 PM CT · F
UNDER 3.5
Price-120
Model58.0%
Book51.0%
EV+6.3%
Fair-138
Stake1.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.94 SOG · 20.0 min (3.0 PP) role change L 4 SOG · -1.00u
Judd Caulfield
ANA vs BOS · 9:00 PM CT · F
UNDER 1.5
Price+110
Model50.4%
Book44.6%
EV+5.8%
Fair-101
Stake1.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.48 SOG · 13.6 min (2.2 PP) role change W 0 SOG · +1.10u
Nathan MacKinnon
COL vs PIT · 8:00 PM CT · F
UNDER 3.5
Price+115
Model49.1%
Book43.4%
EV+5.5%
Fair+104
Stake1.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 3.44 SOG · 21.2 min (3.7 PP) L 9 SOG · -1.00u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
COL vs PIT 8:00 PM CT 1.5 -160 +120 57.5% 59.6% 2.19 17.4 (2.7) — -3.2% 1 SOG
COL vs PIT 8:00 PM CT 1.5 -165 +125 58.4% 57.8% 1.95 18.6 (1.6) — -7.2% 1 SOG
PIT @ COL 8:00 PM CT 1.5 -140 +105 54.5% 56.2% 2.04 17.5 (3.1) — -3.6% 2 SOG
COL vs PIT 8:00 PM CT 1.5 -190 +110 57.9% 55.3% 1.80 18.2 (1.4) — -15.6% 3 SOG
COL vs PIT 8:00 PM CT 1.5 -140 +105 54.5% 52.4% 1.69 18.8 (0.7) — -10.1% 0 SOG
COL vs PIT 8:00 PM CT 1.5 -160 +120 57.5% 52.4% 1.59 13.7 (3.3) UNDER lean +4.7% L 2 SOG · -1.00u
COL vs PIT 8:00 PM CT 3.5 -155 +115 56.7% 50.9% 3.44 21.2 (3.7) UNDER best +5.5% L 9 SOG · -1.00u
COL vs PIT 8:00 PM CT 1.5 -130 +100 53.1% 48.6% 1.52 14.3 (1.6) UNDER lean +2.7% W 1 SOG · +1.00u
COL vs PIT 8:00 PM CT 2.5 -105 -125 48.0% 47.9% 2.63 19.4 (3.6) — -6.5% 4 SOG
PIT @ COL 8:00 PM CT 1.5 -125 -110 51.5% 47.8% 1.49 14.3 (2.3) — -14.0% 2 SOG
COL vs PIT 8:00 PM CT 1.5 -120 -125 49.5% 47.0% 1.50 22.3 (2.0) — -13.9% 2 SOG
COL vs PIT 8:00 PM CT 1.5 +100 -135 46.5% 46.1% 1.55 18.3 (0.4) — -7.8% 0 SOG
COL vs PIT 8:00 PM CT 2.5 -125 -130 49.6% 45.9% 2.40 21.0 (3.8) — -17.3% 1 SOG
COL vs PIT 8:00 PM CT 2.5 -120 -130 49.1% 45.1% 2.32 23.2 (3.7) — -17.3% 2 SOG
PIT @ COL 8:00 PM CT 1.5 +105 -140 45.5% 43.7% 1.43 15.0 (1.5) — -10.3% 4 SOG
PIT @ COL 8:00 PM CT 2.5 +100 -135 46.5% 43.5% 2.30 19.1 (3.1) — -13.0% 5 SOG
PIT @ COL 8:00 PM CT 2.5 +125 -170 41.4% 38.4% 2.08 18.6 (2.4) — -13.6% 2 SOG
PIT @ COL 8:00 PM CT 2.5 +140 -190 38.9% 37.8% 2.17 18.8 (3.1) — -9.4% 2 SOG
PIT @ COL 8:00 PM CT 2.5 +135 -190 39.4% 35.7% 1.95 23.4 (3.1) — -16.0% 2 SOG
ANA vs BOS 9:00 PM CT 1.5 -150 +110 55.8% 55.6% 1.90 17.5 (2.0) — -7.4% 2 SOG
ANA vs BOS 9:00 PM CT 2.5 -160 +110 56.4% 53.6% 2.75 20.1 (3.6) — -12.9% 1 SOG
BOS @ ANA 9:00 PM CT 1.5 -175 +115 57.8% 52.2% 1.56 14.3 (1.6) UNDER lean +2.8% L 2 SOG · -1.00u
ANA vs BOS 9:00 PM CT 1.5 -130 +100 53.1% 52.1% 1.75 24.1 (3.9) — -7.8% 1 SOG
BOS @ ANA 9:00 PM CT 1.5 -160 +120 57.5% 51.2% 1.50 15.8 (1.5) UNDER best +7.4% L 2 SOG · -1.00u
BOS @ ANA 9:00 PM CT 1.5 -130 +100 53.1% 50.6% 1.66 18.0 (2.6) — -10.5% 1 SOG
ANA vs BOS 9:00 PM CT 1.5 -145 +110 55.4% 49.6% 1.48 13.6 (2.2) UNDER best +5.8% W 0 SOG · +1.10u
ANA vs BOS 9:00 PM CT 2.5 -120 -135 48.7% 49.4% 2.72 20.1 (3.8) — -9.4% 1 SOG
BOS @ ANA 9:00 PM CT 1.5 -135 -125 50.8% 49.3% 1.65 24.8 (2.8) — -14.2% 2 SOG
BOS @ ANA 9:00 PM CT 1.5 -120 -125 49.5% 46.2% 1.46 16.3 (2.4) — -15.4% 1 SOG
BOS @ ANA 9:00 PM CT 1.5 -150 -105 54.0% 45.3% 1.24 13.0 (1.2) UNDER best +6.7% L 2 SOG · -1.00u
ANA vs BOS 9:00 PM CT 1.5 -120 -110 51.0% 43.7% 1.26 12.2 (2.0) UNDER best +7.5% L 5 SOG · -1.00u
BOS @ ANA 9:00 PM CT 3.5 -110 -120 49.0% 42.0% 2.94 20.0 (3.0) UNDER best +6.3% L 4 SOG · -1.00u
ANA vs BOS 9:00 PM CT 1.5 -120 -140 48.3% 41.5% 1.20 12.4 (1.2) — -24.0% 0 SOG
BOS @ ANA 9:00 PM CT 1.5 +100 -135 46.5% 40.4% 1.20 21.0 (1.2) UNDER lean +3.7% W 0 SOG · +0.74u
ANA vs BOS 9:00 PM CT 3.5 -120 -110 51.0% 39.4% 2.61 14.8 (3.4) UNDER best +15.8% L 4 SOG · -1.00u
BOS @ ANA 9:00 PM CT 1.5 +105 -155 44.5% 38.5% 1.14 19.9 (0.4) — -21.2% 0 SOG
BOS @ ANA 9:00 PM CT 2.5 +135 -185 39.6% 35.2% 1.90 17.6 (2.8) — -17.3% 1 SOG

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