← 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
5
Lines priced
57
Best bets
11
Leans
11
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Brent Burns
CAR vs ANA · 4:00 PM CT · D
UNDER 2.5
Price-125
Model60.5%
Book52.0%
EV+8.9%
Fair-153
Stake2.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.02 SOG · 21.6 min (2.1 PP) L 6 SOG · -1.00u
Sebastian Aho
CAR vs ANA · 4:00 PM CT · F
UNDER 2.5
Price+125
Model47.5%
Book41.4%
EV+6.8%
Fair+111
Stake1.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.60 SOG · 19.7 min (3.5 PP) W 2 SOG · +1.25u
Matt Boldy
MIN @ VGK · 7:00 PM CT · F
UNDER 3.5
Price-140
Model62.3%
Book54.5%
EV+6.8%
Fair-165
Stake2.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.83 SOG · 20.1 min (2.6 PP) W 1 SOG · +0.71u
Cutter Gauthier
ANA @ CAR · 4:00 PM CT · F
UNDER 1.5
Price+115
Model49.4%
Book43.7%
EV+6.1%
Fair+103
Stake1.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.59 SOG · 14.7 min (1.6 PP) L 3 SOG · -1.00u
Thomas Harley
DAL @ OTT · 4:00 PM CT · D
UNDER 1.5
Price+130
Model46.0%
Book40.6%
EV+5.8%
Fair+117
Stake1.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.68 SOG · 21.5 min (1.6 PP) role change L 3 SOG · -1.00u
Jason Robertson
DAL @ OTT · 4:00 PM CT · F
UNDER 2.5
Price-125
Model58.7%
Book52.0%
EV+5.7%
Fair-142
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.16 SOG · 17.3 min (2.9 PP) L 4 SOG · -1.00u
Joel Eriksson Ek
MIN @ VGK · 7:00 PM CT · F
UNDER 2.5
Price+105
Model51.5%
Book45.9%
EV+5.5%
Fair-106
Stake1.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.45 SOG · 18.8 min (2.2 PP) W 0 SOG · +1.05u
Martin Necas
CAR vs ANA · 4:00 PM CT · F
UNDER 2.5
Price+100
Model52.8%
Book46.9%
EV+5.5%
Fair-112
Stake1.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.43 SOG · 16.6 min (3.5 PP) W 1 SOG · +1.00u
Shane Pinto
OTT vs DAL · 4:00 PM CT · F
UNDER 2.5
Price-175
Model66.9%
Book59.4%
EV+5.2%
Fair-202
Stake2.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.81 SOG · 17.6 min (1.6 PP) W 1 SOG · +0.57u
Erik Karlsson
PIT vs TBL · 4:00 PM CT · D
UNDER 2.5
Price-115
Model56.3%
Book50.0%
EV+5.2%
Fair-129
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.24 SOG · 22.2 min (2.5 PP) W 1 SOG · +0.87u
Seth Jarvis
CAR vs ANA · 4:00 PM CT · F
UNDER 2.5
Price+110
Model50.1%
Book44.6%
EV+5.1%
Fair-100
Stake1.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.49 SOG · 19.7 min (3.5 PP) L 3 SOG · -1.00u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
SEA @ DET 2:00 PM CT 1.5 -195 +145 61.8% 57.6% 1.84 22.2 (2.4) UNDER lean +3.9% L 2 SOG · -1.00u
SEA @ DET 2:00 PM CT 1.5 -195 +145 61.8% 57.5% 1.86 14.9 (2.1) UNDER lean +4.2% L 5 SOG · -1.00u
SEA @ DET 2:00 PM CT 1.5 -165 +125 58.4% 56.0% 1.86 18.0 (2.4) — -10.1% 1 SOG
DET vs SEA 2:00 PM CT 1.5 -160 +120 57.5% 55.3% 1.82 25.0 (2.8) — -10.2% 4 SOG
DET vs SEA 2:00 PM CT 2.5 -155 +115 56.7% 51.8% 2.62 19.6 (2.8) UNDER lean +3.6% L 3 SOG · -1.00u
DET vs SEA 2:00 PM CT 1.5 -130 +100 53.1% 51.6% 1.70 14.6 (1.5) — -8.7% 0 SOG
SEA @ DET 2:00 PM CT 1.5 -135 +100 53.5% 50.6% 1.63 15.3 (1.4) — -11.9% 0 SOG
DET vs SEA 2:00 PM CT 2.5 +100 -135 46.5% 45.4% 2.47 16.9 (2.7) — -9.3% 3 SOG
DET vs SEA 2:00 PM CT 2.5 +100 -130 46.9% 43.8% 2.33 17.5 (2.7) — -12.5% 3 SOG
SEA @ DET 2:00 PM CT 2.5 +100 -130 46.9% 42.6% 2.28 23.5 (2.1) — -14.9% 5 SOG
SEA @ DET 2:00 PM CT 2.5 +100 -135 46.5% 42.2% 2.29 17.3 (2.2) — -15.6% 0 SOG
SEA @ DET 2:00 PM CT 2.5 +135 -180 39.8% 36.8% 2.10 18.0 (2.2) — -13.4% 4 SOG
DET vs SEA 2:00 PM CT 2.5 +130 -175 40.6% 35.1% 1.99 17.9 (2.7) UNDER lean +2.0% W 1 SOG · +0.57u
DAL @ OTT 4:00 PM CT 1.5 -200 +150 62.5% 58.8% 1.93 16.6 (2.6) UNDER lean +3.0% L 2 SOG · -1.00u
OTT vs DAL 4:00 PM CT 1.5 -185 +140 60.9% 56.7% 1.82 17.4 (3.1) UNDER lean +3.9% L 3 SOG · -1.00u
DAL @ OTT 4:00 PM CT 1.5 -165 +125 58.4% 56.2% 1.84 17.7 (2.4) — -9.8% 2 SOG
OTT vs DAL 4:00 PM CT 1.5 -175 +130 59.4% 55.1% 1.77 23.6 (3.2) UNDER lean +3.3% L 3 SOG · -1.00u
DAL @ OTT 4:00 PM CT 1.5 -175 +130 59.4% 54.0% 1.68 21.5 (1.6) UNDER best +5.8% L 3 SOG · -1.00u
OTT vs DAL 4:00 PM CT 1.5 -135 +100 53.5% 53.1% 1.82 17.8 (1.7) — -7.6% 2 SOG
DAL @ OTT 4:00 PM CT 2.5 -115 -115 50.0% 46.0% 2.41 18.8 (2.7) — -13.9% 3 SOG
OTT vs DAL 4:00 PM CT 3.5 -115 -115 50.0% 45.3% 3.32 18.2 (3.3) UNDER lean +2.2% W 2 SOG · +0.87u
DAL @ OTT 4:00 PM CT 2.5 -105 -125 48.0% 41.3% 2.16 17.3 (2.9) UNDER best +5.7% L 4 SOG · -1.00u
DAL @ OTT 4:00 PM CT 2.5 +105 -140 45.5% 39.9% 2.12 15.0 (1.9) UNDER lean +3.1% W 1 SOG · +0.71u
OTT vs DAL 4:00 PM CT 2.5 +125 -170 41.4% 38.8% 2.16 18.5 (3.2) — -12.8% 1 SOG
DAL @ OTT 4:00 PM CT 2.5 +120 -160 42.5% 37.8% 2.08 25.0 (3.3) — -16.8% 2 SOG
OTT vs DAL 4:00 PM CT 2.5 +140 -190 38.9% 37.6% 2.17 19.6 (3.3) — -9.9% 1 SOG
OTT vs DAL 4:00 PM CT 2.5 +135 -180 39.8% 34.6% 1.95 22.7 (1.9) — -18.7% 1 SOG
DAL @ OTT 4:00 PM CT 2.5 +140 -185 39.1% 34.2% 1.93 16.5 (2.5) — -17.9% 2 SOG
OTT vs DAL 4:00 PM CT 2.5 +130 -175 40.6% 33.1% 1.81 17.6 (1.6) UNDER best +5.2% W 1 SOG · +0.57u
PIT vs TBL 4:00 PM CT 1.5 -190 +140 61.1% 60.1% 2.03 23.6 (2.1) — -8.3% 0 SOG
PIT vs TBL 4:00 PM CT 2.5 -170 +130 59.2% 56.4% 2.90 20.3 (3.1) — -10.5% 6 SOG
PIT vs TBL 4:00 PM CT 2.5 -150 +110 55.8% 53.6% 2.84 20.3 (2.8) — -10.6% 4 SOG
TBL @ PIT 4:00 PM CT 2.5 -125 -105 52.0% 50.5% 2.65 21.6 (3.5) — -9.1% 6 SOG
TBL @ PIT 4:00 PM CT 2.5 -120 -110 51.0% 50.4% 2.71 19.3 (3.7) — -7.6% 4 SOG
TBL @ PIT 4:00 PM CT 2.5 -110 -120 49.0% 48.9% 2.66 19.9 (3.8) — -6.6% 0 SOG
PIT vs TBL 4:00 PM CT 2.5 -110 -120 49.0% 45.8% 2.43 18.7 (2.7) — -12.6% 6 SOG
PIT vs TBL 4:00 PM CT 2.5 -115 -115 50.0% 43.7% 2.24 22.2 (2.5) UNDER best +5.2% W 1 SOG · +0.87u
TBL @ PIT 4:00 PM CT 2.5 -105 -130 47.5% 42.1% 2.20 23.6 (3.3) UNDER lean +2.4% W 1 SOG · +0.77u
TBL @ PIT 4:00 PM CT 3.5 +105 -140 45.5% 41.8% 3.17 21.0 (3.9) — -14.4% 3 SOG
CAR vs ANA 4:00 PM CT 1.5 -190 +140 61.1% 56.6% 1.80 19.0 (3.8) UNDER lean +4.1% L 3 SOG · -1.00u
CAR vs ANA 4:00 PM CT 2.5 -170 +125 58.6% 52.5% 2.60 19.7 (3.5) UNDER best +6.8% W 2 SOG · +1.25u
CAR vs ANA 4:00 PM CT 1.5 -140 +105 54.5% 51.5% 1.67 15.8 (0.3) — -11.7% 0 SOG
ANA @ CAR 4:00 PM CT 1.5 -135 +100 53.5% 50.7% 1.66 16.2 (1.8) — -11.8% 1 SOG
ANA @ CAR 4:00 PM CT 1.5 -150 +115 56.3% 50.6% 1.59 14.7 (1.6) UNDER best +6.1% L 3 SOG · -1.00u
CAR vs ANA 4:00 PM CT 2.5 -130 -105 52.5% 50.4% 2.67 17.5 (3.5) — -10.8% 2 SOG
CAR vs ANA 4:00 PM CT 2.5 -145 +110 55.4% 50.0% 2.49 19.7 (3.5) UNDER best +5.1% L 3 SOG · -1.00u
CAR vs ANA 4:00 PM CT 2.5 -130 +100 53.1% 47.3% 2.43 16.6 (3.5) UNDER best +5.5% W 1 SOG · +1.00u
ANA @ CAR 4:00 PM CT 1.5 +100 -135 46.5% 45.3% 1.53 17.1 (1.8) — -9.4% 3 SOG
ANA @ CAR 4:00 PM CT 1.5 +110 -145 44.6% 44.8% 1.54 16.3 (2.6) — -5.9% 0 SOG
ANA @ CAR 4:00 PM CT 2.5 +110 -145 44.6% 43.4% 2.43 17.2 (2.6) — -8.9% 0 SOG
CAR vs ANA 4:00 PM CT 2.5 -105 -125 48.0% 39.5% 2.02 21.6 (2.1) UNDER best +8.9% L 6 SOG · -1.00u
CAR vs ANA 4:00 PM CT 2.5 +140 -190 38.9% 33.7% 1.90 15.7 (1.7) — -19.1% 1 SOG
MIN @ VGK 7:00 PM CT 1.5 -190 +140 61.1% 58.2% 1.87 15.0 (1.1) — -11.2% 4 SOG
MIN @ VGK 7:00 PM CT 2.5 -135 +105 54.1% 48.5% 2.45 18.8 (2.2) UNDER best +5.5% W 0 SOG · +1.05u
MIN @ VGK 7:00 PM CT 2.5 +110 -145 44.6% 40.1% 2.20 20.7 (2.5) — -15.8% 3 SOG
MIN @ VGK 7:00 PM CT 3.5 +105 -140 45.5% 37.7% 2.83 20.1 (2.6) UNDER best +6.8% W 1 SOG · +0.71u
MIN @ VGK 7:00 PM CT 2.5 +140 -185 39.1% 36.1% 2.06 20.0 (2.3) — -13.4% 2 SOG

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