← 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
11
Lines priced
146
Best bets
13
Leans
17
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Andrei Svechnikov
CAR vs NJD · 6:00 PM CT · F
UNDER 2.5
Price+100
Model54.5%
Book46.9%
EV+9.1%
Fair-120
Stake2.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.31 SOG · 16.8 min (3.4 PP) role change L 3 SOG · -1.00u
Jack Hughes
NJD @ CAR · 6:00 PM CT · F
UNDER 3.5
Price-120
Model59.2%
Book51.0%
EV+8.5%
Fair-145
Stake2.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.97 SOG · 19.6 min (3.1 PP) L 4 SOG · -1.00u
Patrik Laine
MTL @ FLA · 12:00 PM CT · F
UNDER 2.5
Price-145
Model63.9%
Book55.4%
EV+8.0%
Fair-177
Stake2.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.90 SOG · 13.8 min (2.8 PP) role change W 1 SOG · +0.69u
Jack Roslovic
CAR vs NJD · 6:00 PM CT · F
UNDER 1.5
Price+110
Model51.1%
Book44.6%
EV+7.4%
Fair-105
Stake1.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.51 SOG · 14.1 min (1.2 PP) role change L 2 SOG · -1.00u
Timo Meier
NJD @ CAR · 6:00 PM CT · F
UNDER 2.5
Price+105
Model52.3%
Book45.5%
EV+7.2%
Fair-110
Stake1.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.39 SOG · 17.1 min (1.6 PP) W 1 SOG · +1.05u
Sebastian Aho
CAR vs NJD · 6:00 PM CT · F
UNDER 2.5
Price-115
Model57.0%
Book50.0%
EV+6.5%
Fair-132
Stake1.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.19 SOG · 19.3 min (3.5 PP) L 5 SOG · -1.00u
David Pastrnak
BOS vs CBJ · 6:00 PM CT · F
UNDER 3.5
Price+125
Model47.2%
Book41.4%
EV+6.3%
Fair+112
Stake1.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 3.64 SOG · 18.6 min (3.4 PP) L 5 SOG · -1.00u
Aaron Ekblad
FLA vs MTL · 12:00 PM CT · D
UNDER 2.5
Price-145
Model62.8%
Book55.4%
EV+6.2%
Fair-169
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.99 SOG · 24.3 min (3.6 PP) W 2 SOG · +0.69u
Martin Necas
CAR vs NJD · 6:00 PM CT · F
UNDER 2.5
Price-110
Model55.5%
Book49.0%
EV+5.9%
Fair-125
Stake1.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.30 SOG · 18.0 min (3.5 PP) W 2 SOG · +0.91u
Stefan Noesen
NJD @ CAR · 6:00 PM CT · F
UNDER 2.5
Price-200
Model70.5%
Book62.5%
EV+5.7%
Fair-239
Stake2.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.70 SOG · 16.1 min (2.5 PP) W 0 SOG · +0.50u
Mattias Ekholm
EDM @ LAK · 3:00 PM CT · D
UNDER 2.5
Price-190
Model69.1%
Book61.6%
EV+5.4%
Fair-223
Stake2.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.74 SOG · 22.0 min (1.2 PP) W 2 SOG · +0.53u
Alex Ovechkin
WSH @ TOR · 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 2.72 SOG · 16.9 min (4.3 PP) W 3 SOG · +0.63u
Brad Marchand
BOS vs CBJ · 6:00 PM CT · F
UNDER 2.5
Price+105
Model51.4%
Book45.5%
EV+5.3%
Fair-106
Stake1.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.47 SOG · 18.8 min (3.1 PP) L 4 SOG · -1.00u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
FLA vs MTL 12:00 PM CT 1.5 -165 +120 57.8% 57.4% 1.96 14.9 (1.6) — -7.8% 2 SOG
FLA vs MTL 12:00 PM CT 2.5 -180 +135 60.2% 56.4% 2.89 17.6 (4.1) UNDER lean +2.4% L 3 SOG · -1.00u
FLA vs MTL 12:00 PM CT 2.5 -165 +120 57.8% 56.3% 2.94 18.1 (3.4) — -9.6% 0 SOG
MTL @ FLA 12:00 PM CT 1.5 -145 +110 55.4% 54.5% 1.84 18.8 (3.0) — -7.9% 2 SOG
FLA vs MTL 12:00 PM CT 1.5 -130 +100 53.1% 54.5% 1.87 16.1 (1.2) — -3.6% 4 SOG
MTL @ FLA 12:00 PM CT 1.5 -150 +115 56.3% 54.3% 1.84 24.6 (2.1) — -9.5% 4 SOG
FLA vs MTL 12:00 PM CT 2.5 -140 +105 54.5% 52.9% 2.78 20.8 (4.2) — -9.3% 2 SOG
MTL @ FLA 12:00 PM CT 2.5 -130 +100 53.1% 51.7% 2.75 17.6 (3.0) — -8.6% 3 SOG
FLA vs MTL 12:00 PM CT 2.5 -105 -125 48.0% 47.5% 2.61 20.6 (4.0) — -7.3% 0 SOG
FLA vs MTL 12:00 PM CT 2.5 -110 -120 49.0% 46.9% 2.55 17.2 (2.5) — -10.5% 4 SOG
FLA vs MTL 12:00 PM CT 2.5 +110 -145 44.6% 40.1% 2.16 23.2 (0.5) — -15.8% 4 SOG
FLA vs MTL 12:00 PM CT 2.5 +110 -145 44.6% 37.2% 1.99 24.3 (3.6) UNDER best +6.2% W 2 SOG · +0.69u
MTL @ FLA 12:00 PM CT 2.5 +110 -145 44.6% 36.1% 1.90 13.8 (2.8) UNDER best +8.0% W 1 SOG · +0.69u
SEA @ VAN 3:00 PM CT 1.5 -155 +115 56.7% 54.8% 1.84 16.8 (2.2) — -9.9% 7 SOG
VAN vs SEA 3:00 PM CT 1.5 -170 +125 58.6% 54.2% 1.73 14.1 (1.1) UNDER lean +3.0% W 0 SOG · +1.25u
SEA @ VAN 3:00 PM CT 1.5 -165 +120 57.8% 54.2% 1.73 21.3 (2.7) — -13.0% 2 SOG
VAN vs SEA 3:00 PM CT 2.5 -130 +100 53.1% 51.0% 2.70 19.5 (2.7) — -9.8% 2 SOG
SEA @ VAN 3:00 PM CT 2.5 +105 -135 45.9% 42.2% 2.28 17.3 (2.6) — -13.6% 0 SOG
SEA @ VAN 3:00 PM CT 2.5 +105 -140 45.5% 41.0% 2.18 23.1 (2.5) — -16.0% 4 SOG
VAN vs SEA 3:00 PM CT 2.5 +120 -160 42.5% 38.3% 2.13 17.6 (2.9) — -15.7% 2 SOG
VAN vs SEA 3:00 PM CT 2.5 +150 -200 37.5% 35.6% 2.05 16.4 (2.1) — -11.1% 4 SOG
VAN vs SEA 3:00 PM CT 2.5 +135 -185 39.6% 35.3% 1.99 17.7 (2.8) — -17.0% 2 SOG
SEA @ VAN 3:00 PM CT 2.5 +140 -190 38.9% 34.9% 1.96 16.1 (2.4) — -16.3% 3 SOG
PHI @ ANA 3:00 PM CT 1.5 -200 +150 62.5% 60.5% 2.03 15.5 (2.8) — -9.3% 1 SOG
ANA vs PHI 3:00 PM CT 1.5 -190 +145 61.6% 57.9% 1.89 15.5 (1.9) UNDER lean +3.1% L 2 SOG · -1.00u
PHI @ ANA 3:00 PM CT 1.5 -140 +105 54.5% 57.7% 2.08 15.4 (1.8) — -1.2% 4 SOG
PHI @ ANA 3:00 PM CT 2.5 -155 +115 56.7% 55.5% 2.93 21.0 (2.8) — -8.6% 1 SOG
PHI @ ANA 3:00 PM CT 1.5 -160 +120 57.5% 55.4% 1.83 24.5 (1.0) — -10.0% 0 SOG
ANA vs PHI 3:00 PM CT 1.5 -170 +130 59.2% 55.3% 1.76 19.6 (2.4) UNDER lean +2.8% W 0 SOG · +1.30u
PHI @ ANA 3:00 PM CT 1.5 -155 +115 56.7% 55.2% 1.82 15.4 (1.9) — -9.3% 1 SOG
PHI @ ANA 3:00 PM CT 1.5 -175 +130 59.4% 55.1% 1.78 14.8 (0.6) UNDER lean +3.2% L 3 SOG · -1.00u
ANA vs PHI 3:00 PM CT 1.5 -165 +125 58.4% 55.1% 1.81 16.5 (2.0) — -11.5% 6 SOG
PHI @ ANA 3:00 PM CT 2.5 -165 +125 58.4% 53.6% 2.67 15.5 (1.9) UNDER lean +4.4% W 2 SOG · +1.25u
ANA vs PHI 3:00 PM CT 1.5 -160 +120 57.5% 53.5% 1.70 16.6 (2.2) UNDER lean +2.4% W 1 SOG · +1.20u
PHI @ ANA 3:00 PM CT 1.5 -130 +100 53.1% 52.8% 1.80 14.6 (2.0) — -6.6% 1 SOG
ANA vs PHI 3:00 PM CT 2.5 +105 -140 45.5% 43.3% 2.34 19.3 (2.7) — -11.3% 2 SOG
PHI @ ANA 3:00 PM CT 2.5 +130 -170 40.9% 40.8% 2.34 18.2 (2.4) — -6.1% 3 SOG
ANA vs PHI 3:00 PM CT 3.5 +130 -175 40.6% 36.7% 2.92 18.3 (2.7) — -15.7% 5 SOG
LAK vs EDM 3:00 PM CT 1.5 -180 +135 60.2% 58.5% 1.94 18.8 (2.3) — -9.0% 5 SOG
EDM @ LAK 3:00 PM CT 1.5 -150 +115 56.3% 55.2% 1.85 19.2 (3.4) — -8.1% 4 SOG
EDM @ LAK 3:00 PM CT 2.5 -150 +110 55.8% 54.6% 2.91 22.3 (3.4) — -9.0% 0 SOG
LAK vs EDM 3:00 PM CT 2.5 -160 +120 57.5% 54.3% 2.77 19.5 (2.5) — -11.7% 4 SOG
EDM @ LAK 3:00 PM CT 2.5 -145 +110 55.4% 53.1% 2.75 19.6 (3.3) — -10.3% 3 SOG
LAK vs EDM 3:00 PM CT 2.5 -140 +105 54.5% 51.7% 2.68 19.3 (3.0) — -11.4% 1 SOG
EDM @ LAK 3:00 PM CT 2.5 -120 -110 51.0% 47.0% 2.49 21.3 (3.4) — -13.8% 2 SOG
EDM @ LAK 3:00 PM CT 2.5 -105 -125 48.0% 42.5% 2.25 23.5 (3.4) UNDER lean +3.6% L 3 SOG · -1.00u
LAK vs EDM 3:00 PM CT 2.5 +135 -180 39.8% 39.0% 2.22 17.0 (0.7) — -8.5% 1 SOG
LAK vs EDM 3:00 PM CT 2.5 +115 -155 43.4% 38.0% 2.07 17.5 (1.8) — -18.3% 5 SOG
EDM @ LAK 3:00 PM CT 2.5 +125 -170 41.4% 37.7% 2.11 15.0 (1.4) — -15.2% 5 SOG
EDM @ LAK 3:00 PM CT 2.5 +130 -175 40.6% 35.5% 1.95 22.2 (1.2) — -18.4% 0 SOG
EDM @ LAK 3:00 PM CT 2.5 +145 -190 38.4% 30.9% 1.74 22.0 (1.2) UNDER best +5.4% W 2 SOG · +0.53u
BOS vs CBJ 6:00 PM CT 1.5 -195 +145 61.8% 60.3% 2.07 18.9 (3.0) — -8.8% 0 SOG
CBJ @ BOS 6:00 PM CT 1.5 -200 +145 62.0% 60.0% 2.03 17.5 (2.9) — -10.0% 2 SOG
CBJ @ BOS 6:00 PM CT 1.5 -180 +135 60.2% 58.3% 1.95 16.7 (1.3) — -9.4% 2 SOG
BOS vs CBJ 6:00 PM CT 1.5 -190 +140 61.1% 58.2% 1.89 17.8 (3.1) — -11.2% 2 SOG
BOS vs CBJ 6:00 PM CT 1.5 -175 +130 59.4% 58.1% 1.97 16.2 (1.7) — -8.7% 4 SOG
BOS vs CBJ 6:00 PM CT 1.5 -165 +125 58.4% 57.4% 1.93 23.3 (3.3) — -7.9% 3 SOG
CBJ @ BOS 6:00 PM CT 2.5 -165 +120 57.8% 55.9% 2.89 25.9 (3.3) — -10.2% 4 SOG
CBJ @ BOS 6:00 PM CT 1.5 -165 +120 57.8% 54.2% 1.75 16.8 (2.9) — -13.0% 2 SOG
BOS vs CBJ 6:00 PM CT 1.5 -150 +115 56.3% 53.9% 1.76 17.9 (2.0) — -10.1% 1 SOG
CBJ @ BOS 6:00 PM CT 1.5 -160 +120 57.5% 53.9% 1.75 15.6 (1.4) — -12.4% 1 SOG
BOS vs CBJ 6:00 PM CT 3.5 -170 +125 58.6% 52.8% 3.64 18.6 (3.4) UNDER best +6.3% L 5 SOG · -1.00u
CBJ @ BOS 6:00 PM CT 2.5 -130 -105 52.5% 49.4% 2.59 19.1 (3.0) — -12.5% 4 SOG
BOS vs CBJ 6:00 PM CT 2.5 -140 +105 54.5% 48.6% 2.47 18.8 (3.1) UNDER best +5.3% L 4 SOG · -1.00u
CBJ @ BOS 6:00 PM CT 2.5 +110 -145 44.6% 42.0% 2.32 20.1 (3.0) — -11.9% 0 SOG
TOR vs WSH 6:00 PM CT 1.5 -200 +145 62.0% 60.4% 2.05 14.7 (1.7) — -9.5% 2 SOG
WSH @ TOR 6:00 PM CT 1.5 -155 +120 57.2% 58.2% 2.03 18.8 (2.8) — -4.3% 5 SOG
TOR vs WSH 6:00 PM CT 1.5 -160 +120 57.5% 56.0% 1.86 21.7 (2.7) — -9.0% 3 SOG
TOR vs WSH 6:00 PM CT 2.5 -155 +115 56.7% 53.6% 2.75 18.7 (3.1) — -11.9% 6 SOG
WSH @ TOR 6:00 PM CT 1.5 -130 +100 53.1% 52.4% 1.78 17.5 (1.8) — -7.3% 1 SOG
WSH @ TOR 6:00 PM CT 1.5 -130 -105 52.5% 51.8% 1.76 16.6 (0.3) — -8.4% 0 SOG
TOR vs WSH 6:00 PM CT 3.5 -115 -115 50.0% 46.4% 3.39 20.6 (3.9) — -13.3% 4 SOG
TOR vs WSH 6:00 PM CT 2.5 -115 -115 50.0% 45.0% 2.36 20.6 (3.3) UNDER lean +2.9% W 2 SOG · +0.87u
WSH @ TOR 6:00 PM CT 2.5 +120 -160 42.5% 40.7% 2.29 19.2 (2.7) — -10.4% 1 SOG
WSH @ TOR 6:00 PM CT 2.5 +115 -150 43.7% 38.3% 2.05 21.1 (2.8) UNDER lean +2.8% L 4 SOG · -1.00u
WSH @ TOR 6:00 PM CT 2.5 +145 -190 38.4% 36.8% 2.13 19.0 (2.6) — -9.8% 3 SOG
TOR vs WSH 6:00 PM CT 2.5 +140 -185 39.1% 36.4% 2.07 14.4 (1.2) — -12.7% 2 SOG
WSH @ TOR 6:00 PM CT 3.5 +120 -160 42.5% 35.1% 2.72 16.9 (4.3) UNDER best +5.4% W 3 SOG · +0.63u
WSH @ TOR 6:00 PM CT 2.5 +145 -195 38.2% 34.6% 1.96 22.8 (2.9) — -15.3% 1 SOG
NYR @ TBL 6:00 PM CT 1.5 -175 +130 59.4% 59.5% 2.08 14.9 (1.6) — -6.5% 1 SOG
TBL vs NYR 6:00 PM CT 1.5 -180 +135 60.2% 58.4% 1.94 18.3 (1.7) — -9.2% 2 SOG
TBL vs NYR 6:00 PM CT 2.5 -155 +115 56.7% 57.9% 3.12 19.7 (4.0) — -4.8% 2 SOG
NYR @ TBL 6:00 PM CT 2.5 -180 +135 60.2% 56.4% 2.86 19.8 (2.9) UNDER lean +2.5% L 6 SOG · -1.00u
TBL vs NYR 6:00 PM CT 1.5 -145 +110 55.4% 55.7% 1.91 16.5 (1.6) — -5.9% 2 SOG
NYR @ TBL 6:00 PM CT 1.5 -155 +115 56.7% 55.2% 1.83 24.2 (3.1) — -9.3% 3 SOG
TBL vs NYR 6:00 PM CT 2.5 -125 -105 52.0% 52.2% 2.84 19.9 (3.9) — -6.1% 3 SOG
TBL vs NYR 6:00 PM CT 2.5 -110 -120 49.0% 49.0% 2.66 21.0 (3.4) — -6.4% 0 SOG
NYR @ TBL 6:00 PM CT 2.5 +100 -135 46.5% 43.8% 2.35 20.4 (2.9) — -12.4% 4 SOG
NYR @ TBL 6:00 PM CT 2.5 +125 -170 41.4% 41.4% 2.36 18.1 (1.8) — -6.9% 2 SOG
TBL vs NYR 6:00 PM CT 2.5 +105 -140 45.5% 41.3% 2.22 23.3 (3.5) — -15.4% 3 SOG
NYR @ TBL 6:00 PM CT 2.5 +110 -150 44.3% 41.2% 2.27 16.6 (2.9) — -13.5% 6 SOG
TBL vs NYR 6:00 PM CT 3.5 +105 -140 45.5% 39.7% 3.00 18.8 (3.8) UNDER lean +3.3% L 5 SOG · -1.00u
NYR @ TBL 6:00 PM CT 2.5 +135 -180 39.8% 34.0% 1.91 16.8 (2.6) UNDER lean +2.7% L 5 SOG · -1.00u
CAR vs NJD 6:00 PM CT 1.5 -145 +110 55.4% 48.9% 1.51 14.1 (1.2) UNDER best +7.4% L 2 SOG · -1.00u
NJD @ CAR 6:00 PM CT 2.5 -140 +105 54.5% 47.7% 2.39 17.1 (1.6) UNDER best +7.2% W 1 SOG · +1.05u
CAR vs NJD 6:00 PM CT 2.5 -130 +100 53.1% 45.5% 2.31 16.8 (3.4) UNDER best +9.1% L 3 SOG · -1.00u
CAR vs NJD 6:00 PM CT 2.5 -120 -110 51.0% 44.5% 2.30 18.0 (3.5) UNDER best +5.9% W 2 SOG · +0.91u
CAR vs NJD 6:00 PM CT 2.5 -115 -115 50.0% 43.0% 2.19 19.3 (3.5) UNDER best +6.5% L 5 SOG · -1.00u
NJD @ CAR 6:00 PM CT 2.5 +115 -150 43.7% 41.0% 2.25 20.2 (2.8) — -11.8% 6 SOG
NJD @ CAR 6:00 PM CT 3.5 -110 -120 49.0% 40.8% 2.97 19.6 (3.1) UNDER best +8.5% L 4 SOG · -1.00u
NJD @ CAR 6:00 PM CT 2.5 +110 -150 44.3% 39.9% 2.17 19.6 (2.7) — -16.2% 1 SOG
NJD @ CAR 6:00 PM CT 2.5 +120 -160 42.5% 38.6% 2.13 18.2 (2.8) — -15.0% 0 SOG
CAR vs NJD 6:00 PM CT 2.5 +115 -150 43.7% 37.8% 2.02 18.5 (3.4) UNDER lean +3.7% L 3 SOG · -1.00u
NJD @ CAR 6:00 PM CT 2.5 +150 -200 37.5% 29.5% 1.70 16.1 (2.5) UNDER best +5.7% W 0 SOG · +0.50u
WPG vs OTT 6:00 PM CT 1.5 -180 +135 60.2% 61.3% 2.18 18.3 (3.4) — -4.6% 3 SOG
WPG vs OTT 6:00 PM CT 2.5 -185 +135 60.4% 59.5% 3.11 19.9 (3.3) — -8.4% 2 SOG
OTT @ WPG 6:00 PM CT 1.5 -170 +125 58.6% 58.7% 2.01 18.0 (1.9) — -6.8% 1 SOG
OTT @ WPG 6:00 PM CT 1.5 -190 +140 61.1% 58.5% 1.93 23.7 (3.2) — -10.8% 1 SOG
OTT @ WPG 6:00 PM CT 1.5 -195 +145 61.8% 57.9% 1.86 16.8 (1.5) UNDER lean +3.2% L 5 SOG · -1.00u
WPG vs OTT 6:00 PM CT 1.5 -165 +125 58.4% 57.2% 1.93 14.4 (1.7) — -8.1% 0 SOG
WPG vs OTT 6:00 PM CT 1.5 -145 +110 55.4% 56.2% 1.92 15.6 (2.7) — -5.0% 0 SOG
OTT @ WPG 6:00 PM CT 3.5 -140 +105 54.5% 50.5% 3.62 18.1 (3.0) — -13.5% 7 SOG
WPG vs OTT 6:00 PM CT 2.5 -110 -120 49.0% 46.0% 2.44 14.7 (2.8) — -12.2% 6 SOG
OTT @ WPG 6:00 PM CT 2.5 +115 -155 43.4% 42.8% 2.38 19.8 (3.2) — -8.0% 4 SOG
WPG vs OTT 6:00 PM CT 2.5 +115 -150 43.7% 42.1% 2.33 20.9 (3.4) — -9.5% 1 SOG
OTT @ WPG 6:00 PM CT 2.5 +110 -150 44.3% 42.1% 2.31 18.2 (3.0) — -11.7% 0 SOG
OTT @ WPG 6:00 PM CT 2.5 +120 -165 42.2% 39.3% 2.20 23.9 (1.9) — -13.5% 4 SOG
WPG vs OTT 6:00 PM CT 2.5 +130 -175 40.6% 38.4% 2.15 23.7 (3.4) — -11.7% 0 SOG
OTT @ WPG 6:00 PM CT 2.5 +145 -200 38.0% 35.5% 2.05 17.8 (2.9) — -13.0% 1 SOG
PIT @ NYI 6:30 PM CT 1.5 -195 +145 61.8% 60.2% 2.05 23.2 (2.0) — -8.9% 1 SOG
PIT @ NYI 6:30 PM CT 1.5 -145 +110 55.4% 57.6% 2.08 18.1 (2.1) — -2.8% 3 SOG
NYI vs PIT 6:30 PM CT 1.5 -160 +120 57.5% 55.8% 1.85 16.3 (1.8) — -9.4% 0 SOG
PIT @ NYI 6:30 PM CT 2.5 -165 +125 58.4% 54.3% 2.73 18.8 (2.4) UNDER lean +2.8% L 3 SOG · -1.00u
PIT @ NYI 6:30 PM CT 2.5 -150 +115 56.3% 54.0% 2.79 19.2 (2.0) — -10.0% 2 SOG
NYI vs PIT 6:30 PM CT 2.5 -140 +105 54.5% 52.7% 2.76 18.5 (2.7) — -9.7% 2 SOG
NYI vs PIT 6:30 PM CT 2.5 -145 +105 54.8% 52.6% 2.75 19.4 (3.0) — -11.2% 5 SOG
NYI vs PIT 6:30 PM CT 2.5 -105 -130 47.5% 46.0% 2.49 16.3 (2.5) — -10.3% 2 SOG
NYI vs PIT 6:30 PM CT 2.5 +115 -155 43.4% 45.8% 2.58 18.5 (2.5) — -1.6% 1 SOG
NYI vs PIT 6:30 PM CT 2.5 -105 -125 48.0% 45.4% 2.46 23.9 (2.8) — -11.5% 3 SOG
PIT @ NYI 6:30 PM CT 2.5 +100 -135 46.5% 43.5% 2.35 18.5 (2.0) — -13.0% 1 SOG
NYI vs PIT 6:30 PM CT 2.5 +110 -150 44.3% 43.4% 2.44 18.4 (2.4) — -8.8% 1 SOG
PIT @ NYI 6:30 PM CT 2.5 +105 -140 45.5% 41.9% 2.27 23.4 (2.2) — -14.2% 2 SOG
PIT @ NYI 6:30 PM CT 2.5 +125 -165 41.7% 36.1% 2.01 15.4 (2.0) UNDER lean +2.7% W 2 SOG · +0.61u
CGY @ SJS 9:00 PM CT 1.5 -180 +135 60.2% 61.3% 2.12 19.1 (2.4) — -4.6% 3 SOG
CGY @ SJS 9:00 PM CT 1.5 -195 +145 61.8% 59.2% 1.95 24.0 (2.3) — -10.5% 2 SOG
CGY @ SJS 9:00 PM CT 1.5 -175 +130 59.4% 56.6% 1.86 15.1 (2.3) — -11.0% 1 SOG
SJS vs CGY 9:00 PM CT 2.5 -160 +120 57.5% 55.4% 2.86 20.0 (3.1) — -9.9% 3 SOG
CGY @ SJS 9:00 PM CT 2.5 -130 +100 53.1% 51.3% 2.71 19.5 (2.0) — -9.2% 3 SOG
SJS vs CGY 9:00 PM CT 2.5 -125 -105 52.0% 49.3% 2.60 16.5 (3.0) — -11.3% 3 SOG
CGY @ SJS 9:00 PM CT 2.5 -110 -120 49.0% 45.4% 2.41 17.8 (2.0) — -13.4% 1 SOG
SJS vs CGY 9:00 PM CT 2.5 +105 -140 45.5% 42.9% 2.34 21.3 (3.2) — -12.1% 1 SOG
CGY @ SJS 9:00 PM CT 2.5 +105 -140 45.5% 42.9% 2.32 17.1 (1.3) — -12.1% 2 SOG
CGY @ SJS 9:00 PM CT 3.5 +115 -155 43.4% 42.4% 3.29 18.5 (2.3) — -8.8% 7 SOG
CGY @ SJS 9:00 PM CT 2.5 +105 -140 45.5% 42.4% 2.26 22.6 (2.5) — -13.2% 0 SOG
SJS vs CGY 9:00 PM CT 2.5 +130 -175 40.6% 38.0% 2.13 17.3 (1.8) — -12.7% 2 SOG
CGY @ SJS 9:00 PM CT 2.5 +140 -190 38.9% 37.2% 2.11 16.7 (2.2) — -10.6% 1 SOG

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