← 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
70
Best bets
2
Leans
6
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Gabriel Landeskog
COL vs DAL · 8:30 PM CT · F
OVER 2.5
Price+140
Model44.2%
Book39.1%
EV+6.1%
Fair+126
Stake1.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.71 SOG · 19.3 min (3.2 PP) W 4 SOG · +1.40u
Brady Tkachuk
OTT vs TOR · 6:00 PM CT · F
UNDER 3.5
Price+115
Model48.9%
Book43.4%
EV+5.1%
Fair+104
Stake1.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 3.53 SOG · 17.1 min (3.1 PP) W 2 SOG · +1.15u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
OTT vs TOR 6:00 PM CT 1.5 -200 +150 62.5% 63.5% 2.28 17.2 (3.2) — -4.7% 0 SOG
OTT vs TOR 6:00 PM CT 1.5 -180 +135 60.2% 62.3% 2.27 16.8 (2.7) — -3.1% 1 SOG
TOR @ OTT 6:00 PM CT 1.5 -180 +135 60.2% 61.6% 2.17 18.8 (3.0) — -4.2% 2 SOG
OTT vs TOR 6:00 PM CT 1.5 -170 +125 58.6% 60.5% 2.17 24.1 (1.9) — -3.9% 4 SOG
TOR @ OTT 6:00 PM CT 1.5 -160 +120 57.5% 60.3% 2.18 21.5 (3.2) — -2.0% 2 SOG
OTT vs TOR 6:00 PM CT 1.5 -135 +105 54.1% 53.8% 1.83 18.4 (0.7) — -6.3% 1 SOG
TOR @ OTT 6:00 PM CT 2.5 -140 +105 54.5% 53.6% 2.89 18.7 (3.1) — -8.1% 4 SOG
TOR @ OTT 6:00 PM CT 1.5 -130 -105 52.5% 53.3% 1.86 13.3 (1.1) — -5.7% 2 SOG
TOR @ OTT 6:00 PM CT 1.5 -135 +100 53.5% 51.7% 1.73 12.4 (1.1) — -10.0% 2 SOG
OTT vs TOR 6:00 PM CT 1.5 -110 -120 49.0% 51.4% 1.87 14.4 (1.7) — -1.9% 3 SOG
OTT vs TOR 6:00 PM CT 3.5 -155 +115 56.7% 51.1% 3.53 17.1 (3.1) UNDER best +5.1% W 2 SOG · +1.15u
TOR @ OTT 6:00 PM CT 3.5 -130 +100 53.1% 49.6% 3.54 19.9 (3.2) — -12.3% 3 SOG
OTT vs TOR 6:00 PM CT 1.5 -110 -125 48.5% 48.7% 1.67 17.9 (1.5) — -7.1% 2 SOG
TOR @ OTT 6:00 PM CT 1.5 -105 -130 47.5% 48.5% 1.66 21.6 (1.6) — -5.3% 1 SOG
TOR @ OTT 6:00 PM CT 2.5 -120 -110 51.0% 46.4% 2.37 17.3 (2.7) UNDER lean +2.3% W 1 SOG · +0.91u
OTT vs TOR 6:00 PM CT 1.5 +115 -155 43.4% 44.1% 1.57 13.6 (1.7) — -5.2% 3 SOG
OTT vs TOR 6:00 PM CT 2.5 +115 -155 43.4% 42.0% 2.33 25.5 (3.6) — -9.6% 0 SOG
OTT vs TOR 6:00 PM CT 2.5 +150 -200 37.5% 38.8% 2.30 19.7 (3.5) — -3.0% 3 SOG
VGK @ MIN 6:30 PM CT 1.5 -190 +140 61.1% 64.3% 2.38 19.9 (2.7) — -1.9% 4 SOG
MIN vs VGK 6:30 PM CT 1.5 -195 +145 61.8% 62.4% 2.20 17.1 (1.4) — -5.6% 6 SOG
MIN vs VGK 6:30 PM CT 2.5 -180 +130 59.7% 60.1% 3.19 22.4 (2.7) — -6.5% 5 SOG
VGK @ MIN 6:30 PM CT 1.5 -195 +145 61.8% 59.6% 1.96 21.2 (2.5) — -9.8% 3 SOG
MIN vs VGK 6:30 PM CT 1.5 -160 +120 57.5% 58.4% 2.05 18.7 (2.8) — -5.0% 0 SOG
VGK @ MIN 6:30 PM CT 2.5 -170 +130 59.2% 58.1% 3.10 20.6 (3.0) — -7.7% 3 SOG
VGK @ MIN 6:30 PM CT 1.5 -180 +135 60.2% 58.1% 1.91 22.6 (1.6) — -9.6% 1 SOG
MIN vs VGK 6:30 PM CT 2.5 -175 +130 59.4% 57.2% 2.92 20.5 (2.5) — -10.1% 0 SOG
VGK @ MIN 6:30 PM CT 1.5 -150 +110 55.8% 52.7% 1.70 14.1 (1.0) — -12.2% 1 SOG
VGK @ MIN 6:30 PM CT 1.5 -120 -110 51.0% 50.5% 1.69 22.2 (0.7) — -7.3% 0 SOG
MIN vs VGK 6:30 PM CT 1.5 +100 -135 46.5% 48.2% 1.73 26.7 (1.2) — -3.6% 1 SOG
VGK @ MIN 6:30 PM CT 1.5 +100 -135 46.5% 48.0% 1.71 14.8 (0.2) — -4.1% 2 SOG
VGK @ MIN 6:30 PM CT 1.5 +100 -130 46.9% 46.4% 1.59 15.2 (1.0) — -7.1% 0 SOG
VGK @ MIN 6:30 PM CT 1.5 +110 -150 44.3% 46.1% 1.64 16.2 (1.0) — -3.3% 0 SOG
VGK @ MIN 6:30 PM CT 2.5 -115 -115 50.0% 45.3% 2.36 17.7 (2.6) UNDER lean +2.2% W 2 SOG · +0.87u
MIN vs VGK 6:30 PM CT 1.5 +110 -145 44.6% 44.8% 1.53 21.8 (1.1) — -6.0% 4 SOG
MIN vs VGK 6:30 PM CT 3.5 +100 -130 46.9% 42.6% 3.15 22.4 (2.7) — -14.9% 4 SOG
VGK @ MIN 6:30 PM CT 2.5 +140 -190 38.9% 37.0% 2.10 17.0 (1.0) — -11.3% 1 SOG
COL vs DAL 8:30 PM CT 1.5 -185 +135 60.4% 67.8% 2.77 19.6 (3.8) OVER lean +4.4% W 6 SOG · +0.54u
COL vs DAL 8:30 PM CT 1.5 -155 +115 56.7% 60.2% 2.29 17.7 (1.6) — -0.9% 0 SOG
DAL @ COL 8:30 PM CT 1.5 -190 +140 61.1% 58.9% 1.95 17.4 (2.7) — -10.1% 5 SOG
DAL @ COL 8:30 PM CT 1.5 -165 +125 58.4% 58.9% 2.06 25.5 (3.3) — -5.4% 2 SOG
DAL @ COL 8:30 PM CT 1.5 -160 +120 57.5% 56.5% 1.93 15.3 (1.7) — -8.2% 2 SOG
COL vs DAL 8:30 PM CT 1.5 -120 -110 51.0% 52.5% 1.85 23.7 (1.4) — -3.8% 0 SOG
DAL @ COL 8:30 PM CT 1.5 -115 -115 50.0% 51.1% 1.78 15.5 (1.6) — -4.5% 2 SOG
DAL @ COL 8:30 PM CT 1.5 -115 -115 50.0% 51.1% 1.78 16.7 (2.7) — -4.5% 0 SOG
DAL @ COL 8:30 PM CT 1.5 +100 -130 46.9% 47.1% 1.64 16.0 (1.5) — -5.9% 1 SOG
COL vs DAL 8:30 PM CT 2.5 +120 -160 42.5% 46.6% 2.79 19.5 (3.0) OVER lean +2.5% L 2 SOG · -1.00u
COL vs DAL 8:30 PM CT 4.5 -115 -115 50.0% 46.0% 4.27 22.0 (4.0) — -14.1% 2 SOG
COL vs DAL 8:30 PM CT 2.5 +140 -185 39.1% 44.2% 2.71 19.3 (3.2) OVER best +6.1% W 4 SOG · +1.40u
DAL @ COL 8:30 PM CT 2.5 +105 -140 45.5% 44.0% 2.40 19.2 (3.1) — -9.8% 2 SOG
COL vs DAL 8:30 PM CT 3.5 +110 -145 44.6% 39.0% 2.93 25.1 (3.7) UNDER lean +3.1% L 6 SOG · -1.00u
DAL @ COL 8:30 PM CT 2.5 +150 -200 37.5% 38.6% 2.29 19.3 (2.9) — -3.6% 3 SOG
COL vs DAL 8:30 PM CT 2.5 +140 -185 39.1% 38.6% 2.26 18.5 (2.1) — -7.5% 8 SOG
LAK @ EDM 9:00 PM CT 1.5 -200 +145 62.0% 63.5% 2.31 18.8 (1.2) — -4.8% 2 SOG
LAK @ EDM 9:00 PM CT 1.5 -190 +140 61.1% 62.8% 2.30 18.1 (0.5) — -4.2% 1 SOG
LAK @ EDM 9:00 PM CT 1.5 -195 +145 61.8% 62.1% 2.17 20.5 (2.3) — -6.0% 3 SOG
EDM vs LAK 9:00 PM CT 1.5 -195 +145 61.8% 62.0% 2.21 23.2 (1.0) — -6.2% 4 SOG
EDM vs LAK 9:00 PM CT 1.5 -180 +135 60.2% 60.3% 2.08 21.4 (1.4) — -6.2% 0 SOG
EDM vs LAK 9:00 PM CT 1.5 -185 +140 60.9% 60.1% 2.08 18.8 (3.2) — -7.5% 2 SOG
EDM vs LAK 9:00 PM CT 2.5 -180 +135 60.2% 59.2% 3.13 22.7 (3.7) — -7.9% 5 SOG
EDM vs LAK 9:00 PM CT 1.5 -160 +120 57.5% 56.5% 1.91 12.9 (0.9) — -8.2% 1 SOG
EDM vs LAK 9:00 PM CT 2.5 -140 +105 54.5% 53.3% 2.85 24.2 (3.5) — -8.7% 1 SOG
LAK @ EDM 9:00 PM CT 1.5 -125 -110 51.5% 50.7% 1.71 16.8 (2.8) — -8.8% 3 SOG
EDM vs LAK 9:00 PM CT 2.5 +110 -150 44.3% 47.7% 2.78 18.7 (2.4) — +0.2% 2 SOG
EDM vs LAK 9:00 PM CT 1.5 -125 -105 52.0% 47.3% 1.48 13.8 (2.3) UNDER lean +2.9% W 0 SOG · +0.95u
LAK @ EDM 9:00 PM CT 2.5 +115 -155 43.4% 45.1% 2.59 17.9 (1.1) — -3.1% 2 SOG
LAK @ EDM 9:00 PM CT 1.5 +115 -155 43.4% 44.5% 1.57 25.6 (2.0) — -4.2% 1 SOG
EDM vs LAK 9:00 PM CT 2.5 +120 -160 42.5% 42.0% 2.36 16.0 (0.8) — -7.6% 1 SOG
EDM vs LAK 9:00 PM CT 3.5 +130 -175 40.6% 38.3% 3.08 22.5 (3.7) — -11.9% 3 SOG
LAK @ EDM 9:00 PM CT 3.5 +130 -175 40.6% 36.6% 2.88 19.7 (2.9) — -15.9% 3 SOG
LAK @ EDM 9:00 PM CT 3.5 +135 -180 39.8% 35.9% 2.88 19.8 (2.8) — -15.7% 1 SOG

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