← 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
72
Best bets
9
Leans
10
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Cutter Gauthier
ANA @ WPG · 7:00 PM CT · F
UNDER 3.5
Price+100
Model57.2%
Book46.9%
EV+14.3%
Fair-133
Stake3.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.82 SOG · 16.9 min (2.7 PP) role change W 1 SOG · +1.00u
Lucas Raymond
DET vs SEA · 6:00 PM CT · F
UNDER 2.5
Price+100
Model54.8%
Book46.9%
EV+9.6%
Fair-121
Stake2.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.13 SOG · 18.6 min (3.0 PP) L 3 SOG · -1.00u
Berkly Catton
SEA @ DET · 6:00 PM CT · F
UNDER 1.5
Price-110
Model56.4%
Book47.3%
EV+7.7%
Fair-129
Stake2.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.20 SOG · 13.2 min (0.9 PP) L 4 SOG · -1.00u
Neal Pionk
WPG vs ANA · 7:00 PM CT · D
UNDER 1.5
Price+135
Model45.3%
Book39.6%
EV+6.4%
Fair+121
Stake1.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.63 SOG · 22.8 min (1.8 PP) W 0 SOG · +1.35u
Viktor Arvidsson
DET vs SEA · 6:00 PM CT · F
UNDER 2.5
Price-110
Model55.7%
Book45.4%
EV+6.3%
Fair-126
Stake1.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.02 SOG · 13.0 min (1.8 PP) L 3 SOG · -1.00u
Kent Johnson
CBJ vs PIT · 6:00 PM CT · F
UNDER 1.5
Price-115
Model56.6%
Book48.2%
EV+5.8%
Fair-130
Stake1.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.20 SOG · 11.8 min (1.4 PP) L 2 SOG · -1.00u
Dylan Larkin
DET vs SEA · 6:00 PM CT · F
UNDER 3.5
Price-160
Model64.9%
Book57.5%
EV+5.4%
Fair-185
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.57 SOG · 19.7 min (3.0 PP) W 1 SOG · +0.63u
Shane Wright
SEA @ DET · 6:00 PM CT · F
UNDER 1.5
Price-145
Model62.3%
Book55.4%
EV+5.2%
Fair-165
Stake1.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.10 SOG · 12.5 min (1.4 PP) W 0 SOG · +0.69u
Kyle Connor
WPG vs ANA · 7:00 PM CT · F
UNDER 3.5
Price-130
Model59.4%
Book53.1%
EV+5.1%
Fair-146
Stake1.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.97 SOG · 20.6 min (3.1 PP) W 3 SOG · +0.77u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
SEA @ DET 6:00 PM CT 1.5 -145 +110 55.4% 54.9% 1.87 15.3 (2.1) — -7.3% 2 SOG
DET vs SEA 6:00 PM CT 1.5 -135 +105 54.1% 51.8% 1.68 21.2 (1.6) — -9.9% 2 SOG
SEA @ DET 6:00 PM CT 1.5 -125 -105 52.0% 51.6% 1.77 17.5 (2.1) — -7.1% 1 SOG
SEA @ DET 6:00 PM CT 1.5 -120 -110 51.0% 50.4% 1.70 18.3 (2.1) — -7.6% 2 SOG
DET vs SEA 6:00 PM CT 1.5 -110 -120 49.0% 46.0% 1.47 16.0 (1.1) — -12.1% 2 SOG
DET vs SEA 6:00 PM CT 1.5 +100 -135 46.5% 45.7% 1.52 17.4 (1.3) — -8.6% 2 SOG
DET vs SEA 6:00 PM CT 2.5 -130 +100 53.1% 45.2% 2.13 18.6 (3.0) UNDER best +9.6% L 3 SOG · -1.00u
DET vs SEA 6:00 PM CT 2.5 -170 -110 54.6% 44.3% 2.02 13.0 (1.8) UNDER best +6.3% L 3 SOG · -1.00u
SEA @ DET 6:00 PM CT 1.5 -140 -110 52.7% 43.6% 1.20 13.2 (0.9) UNDER best +7.7% L 4 SOG · -1.00u
SEA @ DET 6:00 PM CT 2.5 -105 -140 46.8% 43.3% 2.27 22.2 (1.8) — -15.5% 0 SOG
DET vs SEA 6:00 PM CT 3.5 -105 -130 47.5% 41.8% 3.00 18.9 (3.0) UNDER lean +3.0% W 3 SOG · +0.77u
SEA @ DET 6:00 PM CT 1.5 +105 -135 45.9% 41.2% 1.28 13.4 (0.3) UNDER lean +2.3% W 0 SOG · +0.74u
SEA @ DET 6:00 PM CT 2.5 +115 -150 43.7% 41.2% 2.27 16.8 (1.3) — -11.4% 3 SOG
DET vs SEA 6:00 PM CT 2.5 -105 -145 46.4% 40.7% 2.06 24.4 (3.1) — -20.6% 1 SOG
SEA @ DET 6:00 PM CT 1.5 +110 -145 44.6% 37.8% 1.10 12.5 (1.4) UNDER best +5.2% W 0 SOG · +0.69u
DET vs SEA 6:00 PM CT 1.5 +150 -200 37.5% 37.4% 1.30 12.7 (0.9) — -6.4% 4 SOG
DET vs SEA 6:00 PM CT 3.5 +120 -160 42.5% 35.1% 2.57 19.7 (3.0) UNDER best +5.4% W 1 SOG · +0.63u
SEA @ DET 6:00 PM CT 2.5 +140 -185 39.1% 33.8% 1.85 15.5 (2.2) — -18.9% 0 SOG
SEA @ DET 6:00 PM CT 2.5 +135 -180 39.8% 33.6% 1.80 20.1 (2.1) UNDER lean +3.3% W 2 SOG · +0.56u
NYR @ WSH 6:00 PM CT 1.5 -190 +145 61.6% 60.3% 2.05 18.6 (3.1) — -8.0% 1 SOG
WSH vs NYR 6:00 PM CT 1.5 -185 +140 60.9% 59.4% 1.97 18.7 (2.6) — -8.4% 3 SOG
NYR @ WSH 6:00 PM CT 1.5 -130 +100 53.1% 53.5% 1.88 18.2 (2.9) — -5.4% 0 SOG
WSH vs NYR 6:00 PM CT 1.5 -120 -110 51.0% 52.8% 1.92 14.9 (2.3) — -3.2% 2 SOG
WSH vs NYR 6:00 PM CT 2.5 -125 -105 52.0% 52.0% 2.82 17.1 (4.7) — -6.4% 2 SOG
WSH vs NYR 6:00 PM CT 1.5 -125 -105 52.0% 51.7% 1.75 17.4 (3.1) — -6.9% 4 SOG
WSH vs NYR 6:00 PM CT 1.5 -115 -115 50.0% 51.2% 1.82 17.3 (0.5) — -4.2% 1 SOG
NYR @ WSH 6:00 PM CT 1.5 -180 -105 55.7% 51.2% 1.60 15.6 (1.1) — -20.4% 1 SOG
NYR @ WSH 6:00 PM CT 1.5 -115 -130 48.6% 48.5% 1.66 22.9 (3.3) — -9.4% 0 SOG
WSH vs NYR 6:00 PM CT 1.5 -135 -115 51.8% 48.1% 1.52 15.8 (2.6) — -16.3% 1 SOG
NYR @ WSH 6:00 PM CT 2.5 -135 +100 53.5% 47.8% 2.36 16.4 (3.2) UNDER lean +4.5% L 4 SOG · -1.00u
WSH vs NYR 6:00 PM CT 1.5 -125 -105 52.0% 47.6% 1.47 18.3 (2.7) UNDER lean +2.3% L 2 SOG · -1.00u
WSH vs NYR 6:00 PM CT 2.5 -115 -115 50.0% 47.5% 2.49 19.6 (2.2) — -11.2% 2 SOG
WSH vs NYR 6:00 PM CT 1.5 +115 -155 43.4% 45.8% 1.68 16.1 (0.4) — -1.6% 0 SOG
NYR @ WSH 6:00 PM CT 1.5 +110 -145 44.6% 44.3% 1.55 16.1 (1.4) — -6.9% 3 SOG
NYR @ WSH 6:00 PM CT 1.5 +115 -150 43.7% 44.1% 1.55 15.1 (1.3) — -5.1% 2 SOG
NYR @ WSH 6:00 PM CT 2.5 +105 -140 45.5% 43.4% 2.32 20.5 (3.3) — -11.1% 2 SOG
WSH vs NYR 6:00 PM CT 2.5 +100 -135 46.5% 42.0% 2.18 22.4 (2.8) — -16.0% 3 SOG
NYR @ WSH 6:00 PM CT 1.5 +135 -180 39.8% 39.5% 1.38 22.9 (1.2) — -7.2% 3 SOG
WSH vs NYR 6:00 PM CT 2.5 +145 -195 38.2% 36.8% 2.10 14.9 (2.2) — -9.8% 0 SOG
PIT @ CBJ 6:00 PM CT 1.5 -195 +145 61.8% 59.9% 2.03 16.8 (2.9) — -9.4% 3 SOG
PIT @ CBJ 6:00 PM CT 1.5 -175 +130 59.4% 55.6% 1.75 14.4 (1.4) UNDER lean +2.1% L 3 SOG · -1.00u
CBJ vs PIT 6:00 PM CT 1.5 -150 -105 54.0% 51.1% 1.64 14.7 (0.9) — -14.8% 1 SOG
CBJ vs PIT 6:00 PM CT 1.5 -135 -120 51.3% 51.0% 1.74 18.6 (2.9) — -11.2% 7 SOG
CBJ vs PIT 6:00 PM CT 1.5 -140 -105 53.3% 50.0% 1.58 17.6 (2.7) — -14.3% 3 SOG
PIT @ CBJ 6:00 PM CT 1.5 -150 +100 54.6% 48.4% 1.43 13.4 (1.5) UNDER lean +3.3% L 3 SOG · -1.00u
PIT @ CBJ 6:00 PM CT 1.5 -135 +100 53.5% 47.8% 1.41 14.2 (1.3) UNDER lean +4.4% W 1 SOG · +1.00u
CBJ vs PIT 6:00 PM CT 1.5 -110 -140 47.3% 46.3% 1.55 15.6 (1.4) — -11.6% 3 SOG
CBJ vs PIT 6:00 PM CT 2.5 -110 -120 49.0% 45.7% 2.39 19.5 (2.8) — -12.8% 3 SOG
PIT @ CBJ 6:00 PM CT 1.5 -110 -140 47.3% 45.2% 1.47 22.3 (1.5) — -13.7% 2 SOG
PIT @ CBJ 6:00 PM CT 2.5 -110 -140 47.3% 44.7% 2.39 19.1 (2.9) — -14.6% 0 SOG
CBJ vs PIT 6:00 PM CT 3.5 -115 -145 47.5% 43.9% 3.19 27.7 (3.4) — -18.0% 4 SOG
CBJ vs PIT 6:00 PM CT 1.5 -135 -115 51.8% 43.4% 1.20 11.8 (1.4) UNDER best +5.8% L 2 SOG · -1.00u
CBJ vs PIT 6:00 PM CT 1.5 +115 -150 43.7% 43.0% 1.45 14.1 (1.2) — -7.6% 0 SOG
CBJ vs PIT 6:00 PM CT 1.5 +105 -140 45.5% 40.5% 1.23 12.6 (0.2) — -16.9% 5 SOG
PIT @ CBJ 6:00 PM CT 2.5 +120 -165 42.2% 40.3% 2.24 19.0 (2.8) — -11.4% 3 SOG
PIT @ CBJ 6:00 PM CT 2.5 +120 -160 42.5% 40.1% 2.21 25.5 (2.9) — -11.9% 0 SOG
CBJ vs PIT 6:00 PM CT 1.5 +125 -170 41.4% 39.3% 1.30 22.2 (1.3) — -11.6% 3 SOG
CBJ vs PIT 6:00 PM CT 1.5 -120 -145 48.0% 39.2% 1.08 9.8 (1.4) UNDER lean +2.8% L 5 SOG · -1.00u
PIT @ CBJ 6:00 PM CT 2.5 +135 -185 39.6% 39.1% 2.26 19.0 (2.8) — -8.0% 2 SOG
WPG vs ANA 7:00 PM CT 1.5 -185 +135 60.4% 54.7% 1.63 22.8 (1.8) UNDER best +6.4% W 0 SOG · +1.35u
ANA @ WPG 7:00 PM CT 1.5 -145 +110 55.4% 53.3% 1.77 25.6 (2.8) — -9.9% 1 SOG
WPG vs ANA 7:00 PM CT 1.5 -130 +100 53.1% 51.7% 1.69 17.0 (3.2) — -8.6% 2 SOG
ANA @ WPG 7:00 PM CT 1.5 -125 -105 52.0% 51.7% 1.75 19.0 (2.5) — -7.0% 2 SOG
ANA @ WPG 7:00 PM CT 1.5 -125 -105 52.0% 51.6% 1.74 17.1 (1.7) — -7.1% 1 SOG
ANA @ WPG 7:00 PM CT 2.5 -125 -110 51.5% 47.5% 2.44 18.2 (2.5) — -14.5% 0 SOG
ANA @ WPG 7:00 PM CT 2.5 +105 -140 45.5% 44.2% 2.43 18.3 (2.7) — -9.3% 1 SOG
WPG vs ANA 7:00 PM CT 1.5 +115 -150 43.7% 43.1% 1.46 16.3 (0.8) — -7.3% 0 SOG
ANA @ WPG 7:00 PM CT 3.5 -130 +100 53.1% 42.9% 2.82 16.9 (2.7) UNDER best +14.3% W 1 SOG · +1.00u
WPG vs ANA 7:00 PM CT 3.5 +100 -130 46.9% 40.6% 2.97 20.6 (3.1) UNDER best +5.1% W 3 SOG · +0.77u
WPG vs ANA 7:00 PM CT 1.5 +125 -170 41.4% 40.1% 1.34 13.7 (1.7) — -9.8% 0 SOG
WPG vs ANA 7:00 PM CT 2.5 +110 -145 44.6% 38.1% 1.93 17.0 (2.1) UNDER lean +4.7% W 0 SOG · +0.69u
WPG vs ANA 7:00 PM CT 2.5 +140 -190 38.9% 36.9% 2.09 21.3 (3.1) — -11.5% 1 SOG

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