← 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
65
Best bets
4
Leans
8
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Mattias Ekholm
EDM vs ANA · 8:00 PM CT · D
UNDER 2.5
Price-120
Model59.6%
Book51.0%
EV+9.3%
Fair-148
Stake2.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.07 SOG · 21.8 min (1.2 PP) W 1 SOG · +0.83u
Filip Forsberg
NSH @ VAN · 9:00 PM CT · F
UNDER 3.5
Price-120
Model58.5%
Book51.0%
EV+7.2%
Fair-141
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 3.00 SOG · 19.1 min (3.0 PP) role change W 1 SOG · +0.83u
Roman Josi
NSH @ VAN · 9:00 PM CT · D
UNDER 3.5
Price-165
Model66.5%
Book58.4%
EV+6.8%
Fair-199
Stake2.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.63 SOG · 24.7 min (3.1 PP) role change W 2 SOG · +0.61u
Brady Tkachuk
OTT @ STL · 7:00 PM CT · F
UNDER 3.5
Price+115
Model49.0%
Book43.4%
EV+5.4%
Fair+104
Stake1.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 3.54 SOG · 18.4 min (3.1 PP) W 3 SOG · +1.15u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
FLA vs PIT 6:00 PM CT 1.5 -180 +135 60.2% 59.9% 2.06 15.8 (1.6) — -6.8% 2 SOG
PIT @ FLA 6:00 PM CT 1.5 -175 +130 59.4% 56.4% 1.86 15.5 (2.6) — -11.4% 1 SOG
FLA vs PIT 6:00 PM CT 1.5 -160 +120 57.5% 56.4% 1.90 16.2 (1.5) — -8.4% 6 SOG
PIT @ FLA 6:00 PM CT 1.5 -130 +100 53.1% 54.0% 1.88 17.6 (2.7) — -4.4% 0 SOG
FLA vs PIT 6:00 PM CT 2.5 -155 +115 56.7% 52.8% 2.74 17.5 (3.0) — -13.2% 3 SOG
PIT @ FLA 6:00 PM CT 2.5 -130 -105 52.5% 51.2% 2.73 19.7 (3.2) — -9.4% 5 SOG
FLA vs PIT 6:00 PM CT 2.5 -135 +100 53.5% 51.1% 2.70 20.8 (3.5) — -11.1% 0 SOG
PIT @ FLA 6:00 PM CT 2.5 -135 +100 53.5% 51.0% 2.67 19.6 (2.6) — -11.3% 4 SOG
FLA vs PIT 6:00 PM CT 2.5 +100 -135 46.5% 47.4% 2.62 20.7 (3.3) — -5.2% 2 SOG
FLA vs PIT 6:00 PM CT 2.5 -110 -125 48.5% 46.0% 2.45 16.4 (2.2) — -12.1% 4 SOG
FLA vs PIT 6:00 PM CT 2.5 +110 -145 44.6% 40.5% 2.18 23.4 (0.5) — -15.0% 3 SOG
PIT @ FLA 6:00 PM CT 2.5 +125 -165 41.7% 39.6% 2.22 18.3 (2.7) — -11.0% 5 SOG
PIT @ FLA 6:00 PM CT 2.5 +130 -175 40.6% 38.2% 2.14 22.9 (2.7) — -12.3% 4 SOG
FLA vs PIT 6:00 PM CT 2.5 +120 -160 42.5% 35.5% 1.92 24.1 (3.0) UNDER lean +4.8% W 1 SOG · +0.63u
FLA vs PIT 6:00 PM CT 3.5 +135 -180 39.8% 35.2% 2.84 17.5 (3.5) — -17.3% 5 SOG
CHI vs MTL 7:00 PM CT 1.5 -170 +130 59.2% 61.8% 2.23 15.4 (2.2) — -1.8% 3 SOG
CHI vs MTL 7:00 PM CT 1.5 -175 +130 59.4% 61.4% 2.19 15.8 (1.8) — -3.5% 1 SOG
CHI vs MTL 7:00 PM CT 1.5 -170 +125 58.6% 58.4% 1.99 16.6 (2.9) — -7.3% 3 SOG
MTL @ CHI 7:00 PM CT 1.5 -175 +130 59.4% 58.4% 1.99 18.6 (2.9) — -8.3% 2 SOG
MTL @ CHI 7:00 PM CT 2.5 -180 +135 60.2% 57.6% 2.97 17.3 (2.8) — -10.4% 7 SOG
MTL @ CHI 7:00 PM CT 1.5 -170 +125 58.6% 56.9% 1.90 24.2 (2.0) — -9.7% 8 SOG
CHI vs MTL 7:00 PM CT 2.5 -140 +105 54.5% 53.9% 2.87 21.6 (3.0) — -7.5% 4 SOG
MTL @ CHI 7:00 PM CT 1.5 -140 +105 54.5% 53.7% 1.82 16.9 (2.8) — -7.9% 1 SOG
MTL @ CHI 7:00 PM CT 1.5 -140 +105 54.5% 52.7% 1.76 13.5 (1.6) — -9.7% 3 SOG
CHI vs MTL 7:00 PM CT 2.5 +110 -145 44.6% 41.0% 2.25 24.0 (2.9) — -14.0% 0 SOG
OTT @ STL 7:00 PM CT 1.5 -180 +135 60.2% 57.8% 1.91 17.7 (2.9) — -10.2% 1 SOG
OTT @ STL 7:00 PM CT 1.5 -175 +130 59.4% 56.1% 1.82 23.4 (3.0) — -11.8% 1 SOG
OTT @ STL 7:00 PM CT 1.5 -155 +115 56.7% 55.9% 1.87 17.7 (1.8) — -8.0% 2 SOG
STL vs OTT 7:00 PM CT 1.5 -145 +110 55.4% 53.0% 1.76 17.3 (1.7) — -10.5% 2 SOG
STL vs OTT 7:00 PM CT 2.5 -150 +115 56.3% 52.2% 2.64 17.2 (2.9) UNDER lean +2.8% W 1 SOG · +1.15u
OTT @ STL 7:00 PM CT 3.5 -155 +115 56.7% 51.0% 3.54 18.4 (3.1) UNDER best +5.4% W 3 SOG · +1.15u
OTT @ STL 7:00 PM CT 2.5 +125 -165 41.7% 39.8% 2.22 20.0 (3.2) — -10.5% 0 SOG
OTT @ STL 7:00 PM CT 2.5 +125 -170 41.4% 39.2% 2.19 24.7 (1.9) — -11.9% 1 SOG
STL vs OTT 7:00 PM CT 2.5 +115 -155 43.4% 39.0% 2.14 19.3 (2.9) — -16.2% 1 SOG
STL vs OTT 7:00 PM CT 2.5 +110 -145 44.6% 38.6% 2.05 16.4 (1.9) UNDER lean +3.7% W 2 SOG · +0.69u
OTT @ STL 7:00 PM CT 2.5 +135 -180 39.8% 37.6% 2.16 17.9 (3.0) — -11.6% 3 SOG
STL vs OTT 7:00 PM CT 2.5 +150 -200 37.5% 34.7% 2.01 20.3 (3.1) — -13.2% 3 SOG
OTT @ STL 7:00 PM CT 2.5 +145 -190 38.4% 31.8% 1.80 17.2 (1.5) UNDER lean +4.2% L 3 SOG · -1.00u
EDM vs ANA 8:00 PM CT 2.5 -165 +125 58.4% 56.6% 2.98 21.5 (4.1) — -9.2% 4 SOG
ANA @ EDM 8:00 PM CT 1.5 -160 +120 57.5% 55.1% 1.80 16.5 (1.6) — -10.4% 4 SOG
EDM vs ANA 8:00 PM CT 2.5 -155 +120 57.2% 55.0% 2.83 23.6 (4.1) — -9.6% 2 SOG
ANA @ EDM 8:00 PM CT 1.5 -165 +120 57.8% 54.2% 1.75 15.4 (1.4) — -13.0% 1 SOG
EDM vs ANA 8:00 PM CT 1.5 -145 +110 55.4% 53.2% 1.76 10.9 (1.5) — -10.1% 0 SOG
ANA @ EDM 8:00 PM CT 2.5 -145 +110 55.4% 52.1% 2.67 18.0 (2.5) — -12.1% 3 SOG
ANA @ EDM 8:00 PM CT 1.5 -130 +100 53.1% 51.5% 1.72 17.3 (2.4) — -8.8% 0 SOG
EDM vs ANA 8:00 PM CT 2.5 -120 -110 51.0% 48.6% 2.56 15.0 (1.4) — -11.0% 2 SOG
ANA @ EDM 8:00 PM CT 1.5 -115 -115 50.0% 47.4% 1.53 15.8 (1.7) — -11.4% 1 SOG
EDM vs ANA 8:00 PM CT 3.5 +120 -165 42.2% 44.2% 3.50 22.4 (4.1) — -2.9% 0 SOG
EDM vs ANA 8:00 PM CT 2.5 -105 -125 48.0% 44.0% 2.34 21.9 (1.3) — -14.2% 2 SOG
EDM vs ANA 8:00 PM CT 3.5 +125 -170 41.4% 41.6% 3.31 19.4 (4.0) — -6.5% 3 SOG
ANA @ EDM 8:00 PM CT 2.5 +110 -145 44.6% 40.4% 2.18 18.8 (2.5) — -15.1% 3 SOG
EDM vs ANA 8:00 PM CT 2.5 -110 -120 49.0% 40.4% 2.07 21.8 (1.2) UNDER best +9.3% W 1 SOG · +0.83u
EDM vs ANA 8:00 PM CT 2.5 +140 -190 38.9% 38.4% 2.23 19.2 (4.1) — -7.8% 4 SOG
NSH @ VAN 9:00 PM CT 1.5 -195 +145 61.8% 57.9% 1.89 21.7 (1.7) UNDER lean +3.1% W 1 SOG · +1.45u
NSH @ VAN 9:00 PM CT 1.5 -145 +110 55.4% 54.2% 1.82 14.1 (1.7) — -8.4% 2 SOG
NSH @ VAN 9:00 PM CT 1.5 -160 +120 57.5% 53.6% 1.73 18.4 (2.9) UNDER lean +2.1% W 0 SOG · +1.20u
VAN vs NSH 9:00 PM CT 1.5 -170 +125 58.6% 53.4% 1.67 14.4 (1.1) UNDER lean +4.8% L 5 SOG · -1.00u
NSH @ VAN 9:00 PM CT 2.5 -160 +120 57.5% 52.8% 2.69 19.3 (3.1) UNDER lean +3.8% W 0 SOG · +1.20u
VAN vs NSH 9:00 PM CT 2.5 -120 -110 51.0% 49.3% 2.63 19.4 (3.1) — -9.7% 1 SOG
NSH @ VAN 9:00 PM CT 2.5 +105 -135 45.9% 42.3% 2.26 18.9 (3.3) — -13.4% 1 SOG
NSH @ VAN 9:00 PM CT 3.5 -110 -120 49.0% 41.5% 3.00 19.1 (3.0) UNDER best +7.2% W 1 SOG · +0.83u
VAN vs NSH 9:00 PM CT 2.5 +120 -160 42.5% 38.4% 2.12 16.4 (2.7) — -15.5% 1 SOG
VAN vs NSH 9:00 PM CT 2.5 +125 -170 41.4% 37.5% 2.09 17.5 (3.3) — -15.6% 0 SOG
VAN vs NSH 9:00 PM CT 2.5 +145 -195 38.2% 35.6% 2.03 17.8 (3.2) — -12.8% 4 SOG
NSH @ VAN 9:00 PM CT 3.5 +125 -165 41.7% 33.5% 2.63 24.7 (3.1) UNDER best +6.8% W 2 SOG · +0.61u

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