← 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
69
Best bets
14
Leans
13
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Colton Dach
CHI vs NYR · 2:00 PM CT · F
UNDER 1.5
Price+150
Model47.5%
Book37.5%
EV+18.7%
Fair+111
Stake3.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.53 SOG · 13.1 min (0.9 PP) W 0 SOG · +1.50u
Mika Zibanejad
NYR @ CHI · 2:00 PM CT · F
UNDER 2.5
Price-115
Model60.1%
Book50.0%
EV+12.3%
Fair-151
Stake3.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.01 SOG · 17.4 min (2.4 PP) W 1 SOG · +0.87u
Brent Burns
CAR vs PIT · 5:00 PM CT · D
UNDER 2.5
Price-120
Model61.0%
Book51.0%
EV+11.9%
Fair-157
Stake3.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.98 SOG · 20.8 min (1.7 PP) W 1 SOG · +0.83u
Auston Matthews
TOR vs PHI · 6:00 PM CT · F
UNDER 3.5
Price+125
Model49.4%
Book41.7%
EV+11.1%
Fair+102
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 3.46 SOG · 19.5 min (3.1 PP) W 3 SOG · +1.25u
Sean Walker
CAR vs PIT · 5:00 PM CT · D
UNDER 1.5
Price+105
Model54.0%
Book45.9%
EV+10.8%
Fair-118
Stake2.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.37 SOG · 16.2 min (0.7 PP) W 1 SOG · +1.05u
Owen Tippett
PHI @ TOR · 6:00 PM CT · F
UNDER 2.5
Price+125
Model48.8%
Book41.7%
EV+9.8%
Fair+105
Stake2.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.53 SOG · 16.1 min (1.9 PP) W 1 SOG · +1.25u
Dmitry Orlov
CAR vs PIT · 5:00 PM CT · D
UNDER 1.5
Price+130
Model47.5%
Book40.9%
EV+9.3%
Fair+110
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.60 SOG · 21.3 min (0.2 PP) L 3 SOG · -1.00u
Martin Necas
CAR vs PIT · 5:00 PM CT · F
UNDER 2.5
Price+115
Model50.5%
Book43.7%
EV+8.7%
Fair-102
Stake1.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.46 SOG · 17.3 min (3.3 PP) W 2 SOG · +1.15u
Sebastian Aho
CAR vs PIT · 5:00 PM CT · F
UNDER 2.5
Price+120
Model49.3%
Book42.5%
EV+8.5%
Fair+103
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.51 SOG · 19.7 min (3.4 PP) L 3 SOG · -1.00u
Bo Horvat
NYI @ BOS · 5:00 PM CT · F
UNDER 2.5
Price+105
Model52.2%
Book45.5%
EV+7.0%
Fair-109
Stake1.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.40 SOG · 18.5 min (2.7 PP) L 3 SOG · -1.00u
Victor Hedman
TBL @ ANA · 7:00 PM CT · D
UNDER 2.5
Price-125
Model58.8%
Book52.0%
EV+5.8%
Fair-143
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.14 SOG · 23.0 min (3.6 PP) L 8 SOG · -1.00u
Noah Dobson
NYI @ BOS · 5:00 PM CT · D
UNDER 2.5
Price-120
Model57.6%
Book51.0%
EV+5.5%
Fair-136
Stake1.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.21 SOG · 23.8 min (2.7 PP) W 2 SOG · +0.83u
Matvei Michkov
PHI @ TOR · 6:00 PM CT · F
UNDER 1.5
Price+140
Model44.0%
Book38.9%
EV+5.5%
Fair+127
Stake1.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.77 SOG · 15.1 min (2.2 PP) W 1 SOG · +1.40u
Andrei Svechnikov
CAR vs PIT · 5:00 PM CT · F
UNDER 2.5
Price+100
Model52.6%
Book46.9%
EV+5.1%
Fair-111
Stake1.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.45 SOG · 16.9 min (3.4 PP) W 0 SOG · +1.00u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
CHI vs NYR 2:00 PM CT 1.5 -200 +150 62.5% 64.7% 2.33 15.3 (2.4) — -2.9% 1 SOG
CHI vs NYR 2:00 PM CT 1.5 -175 +130 59.4% 60.8% 2.18 15.8 (1.7) — -4.4% 1 SOG
CHI vs NYR 2:00 PM CT 2.5 -130 +100 53.1% 54.1% 2.95 21.2 (3.2) — -4.3% 0 SOG
NYR @ CHI 2:00 PM CT 1.5 -160 +120 57.5% 53.6% 1.71 14.5 (1.4) UNDER lean +2.1% L 2 SOG · -1.00u
CHI vs NYR 2:00 PM CT 1.5 -200 +150 62.5% 52.5% 1.53 13.1 (0.9) UNDER best +18.7% W 0 SOG · +1.50u
NYR @ CHI 2:00 PM CT 2.5 -140 +105 54.5% 50.1% 2.58 18.5 (2.4) UNDER lean +2.2% W 1 SOG · +1.05u
NYR @ CHI 2:00 PM CT 2.5 -130 +100 53.1% 48.4% 2.48 21.2 (3.2) UNDER lean +3.3% L 4 SOG · -1.00u
CHI vs NYR 2:00 PM CT 2.5 +110 -145 44.6% 41.2% 2.24 23.9 (3.0) — -13.5% 2 SOG
NYR @ CHI 2:00 PM CT 2.5 -115 -115 50.0% 39.9% 2.01 17.4 (2.4) UNDER best +12.3% W 1 SOG · +0.87u
NYR @ CHI 2:00 PM CT 3.5 +105 -140 45.5% 39.3% 2.94 19.8 (3.1) UNDER lean +4.1% W 2 SOG · +0.71u
NYR @ CHI 2:00 PM CT 2.5 +130 -175 40.6% 38.7% 2.18 15.1 (1.5) — -11.0% 3 SOG
CHI vs NYR 2:00 PM CT 2.5 +145 -195 38.2% 36.1% 2.08 16.7 (3.1) — -11.6% 2 SOG
NYR @ CHI 2:00 PM CT 2.5 +140 -190 38.9% 33.2% 1.87 24.3 (3.2) — -20.2% 1 SOG
NYI @ BOS 5:00 PM CT 1.5 -200 +145 62.0% 59.9% 2.03 17.9 (2.1) — -10.1% 1 SOG
BOS vs NYI 5:00 PM CT 1.5 -195 +145 61.8% 58.5% 1.91 18.5 (2.7) — -11.5% 1 SOG
BOS vs NYI 5:00 PM CT 1.5 -200 +150 62.5% 58.3% 1.88 15.8 (1.5) UNDER lean +4.4% L 2 SOG · -1.00u
BOS vs NYI 5:00 PM CT 1.5 -165 +125 58.4% 56.1% 1.85 18.6 (2.5) — -10.0% 2 SOG
BOS vs NYI 5:00 PM CT 1.5 -160 +120 57.5% 54.9% 1.83 23.7 (2.7) — -10.8% 2 SOG
BOS vs NYI 5:00 PM CT 2.5 -130 +100 53.1% 48.4% 2.51 19.1 (2.8) UNDER lean +3.2% L 3 SOG · -1.00u
NYI @ BOS 5:00 PM CT 2.5 -130 -105 52.5% 48.1% 2.50 19.7 (2.9) — -14.8% 2 SOG
BOS vs NYI 5:00 PM CT 1.5 -115 -115 50.0% 47.9% 1.57 16.8 (1.7) — -10.4% 2 SOG
NYI @ BOS 5:00 PM CT 2.5 -140 +105 54.5% 47.8% 2.40 18.5 (2.7) UNDER best +7.0% L 3 SOG · -1.00u
NYI @ BOS 5:00 PM CT 2.5 -110 -120 49.0% 42.4% 2.21 23.8 (2.7) UNDER best +5.5% W 2 SOG · +0.83u
NYI @ BOS 5:00 PM CT 2.5 +100 -135 46.5% 42.4% 2.26 16.8 (2.5) — -15.2% 7 SOG
NYI @ BOS 5:00 PM CT 2.5 +125 -170 41.4% 39.8% 2.25 18.6 (2.2) — -10.5% 1 SOG
BOS vs NYI 5:00 PM CT 4.5 +120 -160 42.5% 36.7% 3.72 19.6 (2.9) UNDER lean +2.9% L 5 SOG · -1.00u
CAR vs PIT 5:00 PM CT 1.5 -190 +140 61.1% 57.5% 1.86 15.7 (1.6) UNDER lean +2.1% L 2 SOG · -1.00u
PIT @ CAR 5:00 PM CT 1.5 -155 +115 56.7% 54.4% 1.79 15.9 (2.6) — -10.5% 1 SOG
CAR vs PIT 5:00 PM CT 1.5 -170 +130 59.2% 52.5% 1.60 21.3 (0.2) UNDER best +9.3% L 3 SOG · -1.00u
CAR vs PIT 5:00 PM CT 1.5 -145 +110 55.4% 51.2% 1.63 15.1 (0.4) UNDER lean +2.5% W 0 SOG · +1.10u
CAR vs PIT 5:00 PM CT 2.5 -160 +120 57.5% 50.7% 2.51 19.7 (3.4) UNDER best +8.5% L 3 SOG · -1.00u
PIT @ CAR 5:00 PM CT 1.5 -115 -115 50.0% 50.6% 1.75 17.7 (2.5) — -5.5% 0 SOG
CAR vs PIT 5:00 PM CT 2.5 -150 +115 56.3% 49.5% 2.46 17.3 (3.3) UNDER best +8.7% W 2 SOG · +1.15u
PIT @ CAR 5:00 PM CT 2.5 -125 -105 52.0% 48.1% 2.52 19.5 (2.6) — -13.5% 1 SOG
PIT @ CAR 5:00 PM CT 2.5 -115 -115 50.0% 47.8% 2.53 19.6 (3.1) — -10.6% 3 SOG
CAR vs PIT 5:00 PM CT 2.5 -130 +100 53.1% 47.4% 2.45 16.9 (3.4) UNDER best +5.1% W 0 SOG · +1.00u
CAR vs PIT 5:00 PM CT 1.5 -135 +105 54.1% 46.0% 1.37 16.2 (0.7) UNDER best +10.8% W 1 SOG · +1.05u
CAR vs PIT 5:00 PM CT 2.5 -110 -120 49.0% 43.7% 2.29 18.9 (3.3) UNDER lean +3.2% L 3 SOG · -1.00u
CAR vs PIT 5:00 PM CT 2.5 -110 -120 49.0% 39.0% 1.98 20.8 (1.7) UNDER best +11.9% W 1 SOG · +0.83u
PIT @ CAR 5:00 PM CT 2.5 +120 -160 42.5% 38.0% 2.08 17.9 (2.6) — -16.4% 2 SOG
PIT @ CAR 5:00 PM CT 2.5 +130 -170 40.9% 36.5% 2.01 22.4 (2.5) — -16.0% 2 SOG
PHI @ TOR 6:00 PM CT 1.5 -190 +140 61.1% 56.0% 1.77 15.1 (2.2) UNDER best +5.5% W 1 SOG · +1.40u
TOR vs PHI 6:00 PM CT 1.5 -155 +115 56.7% 55.2% 1.82 22.1 (2.5) — -9.2% 1 SOG
TOR vs PHI 6:00 PM CT 1.5 -160 +120 57.5% 54.2% 1.76 18.0 (2.3) — -11.9% 1 SOG
PHI @ TOR 6:00 PM CT 1.5 -150 +110 55.8% 53.9% 1.78 14.4 (1.7) — -10.3% 1 SOG
PHI @ TOR 6:00 PM CT 1.5 -125 -110 51.5% 52.5% 1.86 16.3 (1.7) — -5.5% 1 SOG
PHI @ TOR 6:00 PM CT 1.5 -150 +110 55.8% 52.4% 1.68 15.7 (1.8) — -12.7% 2 SOG
PHI @ TOR 6:00 PM CT 2.5 -165 +125 58.4% 51.2% 2.53 16.1 (1.9) UNDER best +9.8% W 1 SOG · +1.25u
TOR vs PHI 6:00 PM CT 3.5 -165 +125 58.4% 50.6% 3.46 19.5 (3.1) UNDER best +11.1% W 3 SOG · +1.25u
PHI @ TOR 6:00 PM CT 1.5 -125 -105 52.0% 49.7% 1.65 23.6 (1.0) — -10.6% 0 SOG
TOR vs PHI 6:00 PM CT 2.5 -135 +100 53.5% 48.7% 2.49 18.7 (2.8) UNDER lean +2.6% W 2 SOG · +1.00u
PHI @ TOR 6:00 PM CT 2.5 -115 -115 50.0% 46.8% 2.49 20.0 (2.5) — -12.6% 3 SOG
TOR vs PHI 6:00 PM CT 2.5 +100 -135 46.5% 41.5% 2.20 21.3 (3.0) — -17.0% 2 SOG
TOR vs PHI 6:00 PM CT 3.5 +120 -160 42.5% 39.7% 3.12 20.0 (3.5) — -12.6% 1 SOG
TOR vs PHI 6:00 PM CT 2.5 +130 -175 40.6% 36.1% 1.99 14.1 (1.4) — -17.1% 1 SOG
TOR vs PHI 6:00 PM CT 2.5 +140 -190 38.9% 32.8% 1.85 14.8 (1.4) UNDER lean +2.6% W 1 SOG · +0.53u
ANA vs TBL 7:00 PM CT 1.5 -190 +145 61.6% 59.4% 1.98 16.5 (1.9) — -9.4% 0 SOG
ANA vs TBL 7:00 PM CT 2.5 -175 +130 59.4% 58.0% 3.04 17.9 (2.9) — -8.9% 2 SOG
ANA vs TBL 7:00 PM CT 1.5 -145 +110 55.4% 56.2% 1.96 17.6 (2.9) — -5.1% 5 SOG
TBL @ ANA 7:00 PM CT 1.5 -165 +125 58.4% 55.6% 1.84 16.7 (1.2) — -10.7% 3 SOG
TBL @ ANA 7:00 PM CT 2.5 -160 +120 57.5% 55.6% 2.92 19.5 (4.0) — -9.7% 1 SOG
ANA vs TBL 7:00 PM CT 1.5 -160 +120 57.5% 55.3% 1.81 14.7 (1.6) — -10.1% 3 SOG
TBL @ ANA 7:00 PM CT 1.5 -165 +125 58.4% 55.1% 1.82 18.1 (1.4) — -11.5% 7 SOG
TBL @ ANA 7:00 PM CT 2.5 -135 +100 53.5% 52.0% 2.74 20.2 (4.0) — -9.6% 2 SOG
ANA vs TBL 7:00 PM CT 1.5 -130 +100 53.1% 51.9% 1.78 16.5 (2.0) — -8.1% 1 SOG
TBL @ ANA 7:00 PM CT 2.5 -105 -125 48.0% 47.1% 2.54 21.1 (3.6) — -8.1% 3 SOG
ANA vs TBL 7:00 PM CT 2.5 -110 -120 49.0% 46.1% 2.47 19.0 (2.9) — -12.0% 2 SOG
TBL @ ANA 7:00 PM CT 3.5 -105 -125 48.0% 42.4% 3.11 20.4 (4.0) UNDER lean +3.7% W 3 SOG · +0.80u
TBL @ ANA 7:00 PM CT 2.5 -105 -125 48.0% 41.2% 2.14 23.0 (3.6) UNDER best +5.8% L 8 SOG · -1.00u

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