← 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
157
Best bets
11
Leans
12
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Zachary Bolduc
MTL vs NSH · 6:00 PM CT · F
UNDER 1.5
Price+145
Model46.0%
Book38.2%
EV+12.6%
Fair+118
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.60 SOG · 13.1 min (2.6 PP) L 2 SOG · -1.00u
David Tomasek
EDM @ NYI · 6:30 PM CT · F
UNDER 1.5
Price+135
Model46.9%
Book39.8%
EV+10.2%
Fair+113
Stake1.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.57 SOG · 13.1 min (3.1 PP) W 1 SOG · +1.35u
Jason Robertson
DAL vs VAN · 7:00 PM CT · F
UNDER 2.5
Price+115
Model50.9%
Book43.7%
EV+9.4%
Fair-104
Stake2.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.38 SOG · 18.2 min (2.8 PP) role change L 5 SOG · -1.00u
Cutter Gauthier
ANA vs CAR · 9:00 PM CT · F
UNDER 2.5
Price+100
Model54.4%
Book46.5%
EV+8.7%
Fair-119
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.23 SOG · 16.3 min (1.2 PP) L 6 SOG · -1.00u
Shayne Gostisbehere
CAR @ ANA · 9:00 PM CT · D
UNDER 1.5
Price+120
Model48.7%
Book42.5%
EV+7.2%
Fair+105
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.56 SOG · 18.6 min (3.4 PP) W 1 SOG · +1.20u
Sebastian Aho
CAR @ ANA · 9:00 PM CT · F
UNDER 2.5
Price+115
Model49.6%
Book43.7%
EV+6.6%
Fair+102
Stake1.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.50 SOG · 19.8 min (3.4 PP) W 2 SOG · +1.15u
Patrik Laine
MTL vs NSH · 6:00 PM CT · F
UNDER 1.5
Price+115
Model49.5%
Book43.7%
EV+6.5%
Fair+102
Stake1.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.56 SOG · 12.8 min (2.5 PP) W 0 SOG · +1.15u
Artemi Panarin
NYR @ TOR · 6:00 PM CT · F
UNDER 2.5
Price+125
Model47.2%
Book41.7%
EV+6.2%
Fair+112
Stake1.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.64 SOG · 19.8 min (3.3 PP) W 2 SOG · +1.25u
Leon Draisaitl
EDM @ NYI · 6:30 PM CT · F
UNDER 2.5
Price+130
Model45.9%
Book40.6%
EV+5.5%
Fair+118
Stake1.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.68 SOG · 21.4 min (3.3 PP) W 2 SOG · +1.30u
Brad Marchand
FLA @ NJD · 6:00 PM CT · F
UNDER 2.5
Price-140
Model61.5%
Book54.5%
EV+5.3%
Fair-159
Stake1.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.98 SOG · 16.8 min (2.6 PP) role change L 4 SOG · -1.00u
Jake Sanderson
OTT vs SEA · 6:00 PM CT · D
UNDER 2.5
Price-140
Model61.3%
Book54.5%
EV+5.1%
Fair-159
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.00 SOG · 23.5 min (3.1 PP) role change W 2 SOG · +0.71u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
TOR vs NYR 6:00 PM CT 1.5 -180 +135 60.2% 58.3% 1.94 14.0 (1.1) — -9.3% 0 SOG
NYR @ TOR 6:00 PM CT 1.5 -175 +130 59.4% 58.3% 1.97 16.9 (2.4) — -8.4% 2 SOG
NYR @ TOR 6:00 PM CT 1.5 -185 +135 60.4% 57.8% 1.88 23.3 (3.1) — -11.0% 2 SOG
NYR @ TOR 6:00 PM CT 1.5 -180 +135 60.2% 57.7% 1.89 19.1 (3.0) — -10.3% 2 SOG
NYR @ TOR 6:00 PM CT 1.5 -180 +135 60.2% 55.8% 1.76 16.1 (0.9) UNDER lean +3.9% L 5 SOG · -1.00u
TOR vs NYR 6:00 PM CT 2.5 -135 +105 54.1% 53.3% 2.83 19.6 (3.3) — -7.3% 2 SOG
NYR @ TOR 6:00 PM CT 2.5 -165 +125 58.4% 52.8% 2.64 19.8 (3.3) UNDER best +6.2% W 2 SOG · +1.25u
TOR vs NYR 6:00 PM CT 3.5 -145 +110 55.4% 52.0% 3.67 21.2 (3.5) — -12.2% 2 SOG
TOR vs NYR 6:00 PM CT 1.5 -125 -105 52.0% 50.0% 1.64 21.1 (2.3) — -10.1% 2 SOG
NYR @ TOR 6:00 PM CT 2.5 -130 -105 52.5% 46.3% 2.33 19.5 (3.1) UNDER lean +4.8% W 2 SOG · +0.95u
TOR vs NYR 6:00 PM CT 2.5 +105 -145 45.2% 44.0% 2.41 18.1 (3.1) — -9.8% 1 SOG
TOR vs NYR 6:00 PM CT 2.5 +140 -190 38.9% 38.2% 2.20 19.6 (3.3) — -8.3% 4 SOG
MTL vs NSH 6:00 PM CT 1.5 -185 +135 60.4% 60.6% 2.12 18.0 (3.2) — -6.6% 1 SOG
NSH @ MTL 6:00 PM CT 1.5 -180 +135 60.2% 59.9% 2.09 17.5 (3.2) — -6.9% 2 SOG
MTL vs NSH 6:00 PM CT 1.5 -175 +130 59.4% 59.1% 2.04 21.7 (2.6) — -7.2% 2 SOG
MTL vs NSH 6:00 PM CT 2.5 -160 +120 57.5% 55.2% 2.85 17.9 (3.1) — -10.4% 4 SOG
NSH @ MTL 6:00 PM CT 1.5 -135 +100 53.5% 54.9% 1.91 16.1 (2.0) — -4.5% 1 SOG
NSH @ MTL 6:00 PM CT 1.5 -125 -105 52.0% 54.4% 1.92 19.5 (3.0) — -2.0% 0 SOG
MTL vs NSH 6:00 PM CT 1.5 -195 +145 61.8% 54.1% 1.60 13.1 (2.6) UNDER best +12.6% L 2 SOG · -1.00u
NSH @ MTL 6:00 PM CT 1.5 -140 +105 54.5% 53.8% 1.82 13.7 (1.8) — -7.7% 0 SOG
NSH @ MTL 6:00 PM CT 1.5 -135 +100 53.5% 53.4% 1.82 21.9 (2.0) — -7.0% 0 SOG
MTL vs NSH 6:00 PM CT 1.5 -150 +115 56.3% 50.5% 1.56 12.8 (2.5) UNDER best +6.5% W 0 SOG · +1.15u
MTL vs NSH 6:00 PM CT 1.5 -105 -125 48.0% 50.2% 1.80 13.9 (1.7) — -2.1% 3 SOG
NSH @ MTL 6:00 PM CT 2.5 -110 -120 49.0% 48.6% 2.66 24.2 (3.3) — -7.3% 2 SOG
NSH @ MTL 6:00 PM CT 2.5 -105 -125 48.0% 45.7% 2.45 17.6 (3.1) — -10.9% 2 SOG
MTL vs NSH 6:00 PM CT 1.5 +100 -135 46.5% 42.7% 1.34 13.7 (2.1) — -14.7% 3 SOG
NSH @ MTL 6:00 PM CT 3.5 +115 -155 43.4% 39.7% 3.05 18.4 (3.2) — -14.6% 2 SOG
MTL vs NSH 6:00 PM CT 2.5 +145 -195 38.2% 37.8% 2.20 20.1 (3.7) — -7.3% 4 SOG
SEA @ OTT 6:00 PM CT 1.5 -170 +125 58.6% 60.3% 2.17 17.3 (1.9) — -4.2% 2 SOG
OTT vs SEA 6:00 PM CT 1.5 -175 +130 59.4% 59.2% 2.05 22.7 (1.9) — -7.0% 0 SOG
SEA @ OTT 6:00 PM CT 1.5 -170 +125 58.6% 58.2% 1.97 20.9 (2.6) — -7.6% 2 SOG
OTT vs SEA 6:00 PM CT 1.5 -180 +135 60.2% 55.9% 1.76 17.2 (1.5) UNDER lean +3.8% L 3 SOG · -1.00u
SEA @ OTT 6:00 PM CT 1.5 -140 +105 54.5% 55.8% 1.96 17.0 (2.4) — -4.4% 2 SOG
OTT vs SEA 6:00 PM CT 1.5 -145 +110 55.4% 55.3% 1.86 15.2 (1.4) — -6.6% 2 SOG
SEA @ OTT 6:00 PM CT 1.5 -140 +105 54.5% 53.8% 1.81 17.8 (2.4) — -7.8% 4 SOG
SEA @ OTT 6:00 PM CT 1.5 -125 -105 52.0% 51.6% 1.74 14.6 (1.7) — -7.2% 3 SOG
OTT vs SEA 6:00 PM CT 1.5 -110 -120 49.0% 46.0% 1.50 16.9 (1.6) — -12.2% 1 SOG
SEA @ OTT 6:00 PM CT 2.5 +100 -130 46.9% 44.5% 2.40 21.9 (2.2) — -10.9% 1 SOG
SEA @ OTT 6:00 PM CT 2.5 +105 -140 45.5% 42.4% 2.31 16.7 (2.5) — -13.2% 5 SOG
OTT vs SEA 6:00 PM CT 2.5 +120 -160 42.5% 40.5% 2.25 19.3 (3.2) — -10.8% 2 SOG
OTT vs SEA 6:00 PM CT 2.5 +115 -150 43.7% 39.1% 2.10 16.8 (2.8) — -16.0% 1 SOG
OTT vs SEA 6:00 PM CT 2.5 +125 -170 41.4% 38.7% 2.16 16.5 (2.6) — -12.8% 2 SOG
OTT vs SEA 6:00 PM CT 2.5 +105 -140 45.5% 38.7% 2.00 23.5 (3.1) UNDER best +5.1% W 2 SOG · +0.71u
FLA @ NJD 6:00 PM CT 1.5 -175 +130 59.4% 54.7% 1.74 15.9 (1.1) UNDER lean +4.1% W 1 SOG · +1.30u
FLA @ NJD 6:00 PM CT 1.5 -165 +125 58.4% 54.6% 1.72 16.2 (1.7) UNDER lean +2.1% L 4 SOG · -1.00u
NJD vs FLA 6:00 PM CT 2.5 -150 +115 56.3% 53.2% 2.74 18.8 (3.3) — -11.4% 6 SOG
FLA @ NJD 6:00 PM CT 1.5 -130 -105 52.5% 50.8% 1.66 22.9 (3.1) — -10.2% 1 SOG
NJD vs FLA 6:00 PM CT 1.5 -135 +100 53.5% 50.4% 1.63 22.6 (3.0) — -12.3% 2 SOG
FLA @ NJD 6:00 PM CT 1.5 -130 -105 52.5% 49.7% 1.62 23.8 (3.4) — -12.0% 0 SOG
NJD vs FLA 6:00 PM CT 1.5 -115 -115 50.0% 49.2% 1.65 18.2 (2.3) — -8.1% 0 SOG
FLA @ NJD 6:00 PM CT 2.5 -130 +100 53.1% 47.9% 2.45 17.4 (2.6) UNDER lean +4.1% W 1 SOG · +1.00u
FLA @ NJD 6:00 PM CT 1.5 -115 -115 50.0% 47.8% 1.56 22.7 (0.5) — -10.6% 3 SOG
FLA @ NJD 6:00 PM CT 1.5 -110 -120 49.0% 47.0% 1.54 14.1 (2.1) — -10.3% 4 SOG
FLA @ NJD 6:00 PM CT 2.5 -105 -125 48.0% 45.8% 2.46 20.3 (3.3) — -10.6% 0 SOG
NJD vs FLA 6:00 PM CT 3.5 +110 -145 44.6% 43.0% 3.27 20.9 (3.5) — -9.7% 8 SOG
FLA @ NJD 6:00 PM CT 2.5 -105 -130 47.5% 42.6% 2.20 17.5 (2.0) — -16.9% 1 SOG
NJD vs FLA 6:00 PM CT 2.5 +135 -180 39.8% 40.6% 2.36 19.4 (3.4) — -4.7% 1 SOG
NJD vs FLA 6:00 PM CT 2.5 +115 -155 43.4% 40.4% 2.23 20.5 (2.9) — -13.1% 4 SOG
FLA @ NJD 6:00 PM CT 2.5 +105 -140 45.5% 38.6% 1.98 16.8 (2.6) UNDER best +5.3% L 4 SOG · -1.00u
NJD vs FLA 6:00 PM CT 2.5 +140 -185 39.1% 38.2% 2.22 20.4 (3.4) — -8.4% 1 SOG
WPG @ PHI 6:00 PM CT 1.5 -190 +140 61.1% 59.8% 2.01 19.6 (2.6) — -8.7% 3 SOG
PHI vs WPG 6:00 PM CT 1.5 -160 +120 57.5% 58.5% 2.06 18.7 (2.0) — -5.0% 0 SOG
WPG @ PHI 6:00 PM CT 1.5 -200 +145 62.0% 57.3% 1.80 22.5 (2.6) UNDER lean +4.6% W 1 SOG · +1.45u
WPG @ PHI 6:00 PM CT 1.5 -160 +120 57.5% 56.8% 1.95 18.7 (2.7) — -7.7% 0 SOG
WPG @ PHI 6:00 PM CT 2.5 -165 +125 58.4% 55.9% 2.87 20.9 (2.6) — -10.2% 0 SOG
PHI vs WPG 6:00 PM CT 1.5 -145 +110 55.4% 54.5% 1.84 17.7 (2.5) — -8.0% 3 SOG
PHI vs WPG 6:00 PM CT 1.5 -125 -105 52.0% 53.3% 1.89 17.7 (2.5) — -4.0% 1 SOG
WPG @ PHI 6:00 PM CT 1.5 -110 -120 49.0% 48.5% 1.65 14.7 (1.6) — -7.4% 2 SOG
WPG @ PHI 6:00 PM CT 1.5 -115 -115 50.0% 47.4% 1.53 22.3 (1.7) — -11.4% 0 SOG
PHI vs WPG 6:00 PM CT 2.5 +115 -150 43.7% 42.3% 2.32 17.0 (2.9) — -9.1% 2 SOG
WPG @ PHI 6:00 PM CT 1.5 +100 -135 46.5% 41.5% 1.27 15.0 (1.7) — -17.0% 2 SOG
PHI vs WPG 6:00 PM CT 2.5 +125 -165 41.7% 37.5% 2.06 14.9 (1.8) — -15.7% 2 SOG
PHI vs WPG 6:00 PM CT 2.5 +140 -190 38.9% 37.5% 2.17 19.0 (2.9) — -10.1% 3 SOG
COL @ CBJ 6:00 PM CT 1.5 -165 +125 58.4% 61.4% 2.25 16.9 (2.4) — -1.4% 0 SOG
CBJ vs COL 6:00 PM CT 1.5 -185 +135 60.4% 61.3% 2.18 17.6 (2.3) — -5.6% 1 SOG
CBJ vs COL 6:00 PM CT 1.5 -185 +135 60.4% 60.5% 2.10 17.3 (1.6) — -6.8% 2 SOG
CBJ vs COL 6:00 PM CT 1.5 -165 +125 58.4% 60.0% 2.16 18.9 (2.5) — -3.6% 2 SOG
COL @ CBJ 6:00 PM CT 1.5 -165 +125 58.4% 57.0% 1.91 21.1 (1.3) — -8.5% 3 SOG
COL @ CBJ 6:00 PM CT 2.5 -180 +135 60.2% 56.7% 2.83 24.7 (3.3) — -11.8% 3 SOG
CBJ vs COL 6:00 PM CT 1.5 -150 +110 55.8% 55.8% 1.92 16.1 (1.7) — -7.0% 0 SOG
COL @ CBJ 6:00 PM CT 3.5 -165 +125 58.4% 55.6% 3.87 21.2 (3.6) — -10.8% 2 SOG
COL @ CBJ 6:00 PM CT 1.5 -125 -105 52.0% 51.0% 1.72 23.9 (1.2) — -8.2% 1 SOG
CBJ vs COL 6:00 PM CT 1.5 -120 -110 51.0% 49.6% 1.66 16.1 (2.5) — -9.1% 3 SOG
CBJ vs COL 6:00 PM CT 2.5 -135 +100 53.5% 49.3% 2.53 19.1 (2.5) — -14.1% 0 SOG
COL @ CBJ 6:00 PM CT 2.5 +110 -145 44.6% 46.5% 2.67 19.7 (3.4) — -2.3% 0 SOG
CBJ vs COL 6:00 PM CT 3.5 +115 -155 43.4% 43.0% 3.35 27.0 (2.7) — -7.6% 3 SOG
COL @ CBJ 6:00 PM CT 2.5 +125 -165 41.7% 41.0% 2.33 17.3 (1.9) — -7.7% 4 SOG
COL @ CBJ 6:00 PM CT 2.5 +135 -180 39.8% 39.5% 2.27 18.8 (2.7) — -7.2% 2 SOG
COL @ CBJ 6:00 PM CT 2.5 +140 -190 38.9% 37.9% 2.18 17.8 (2.3) — -9.1% 2 SOG
NYI vs EDM 6:30 PM CT 1.5 -190 +145 61.6% 62.6% 2.24 16.3 (1.9) — -4.4% 1 SOG
NYI vs EDM 6:30 PM CT 1.5 -180 +135 60.2% 58.5% 2.01 22.9 (2.7) — -9.0% 0 SOG
EDM @ NYI 6:30 PM CT 1.5 -185 +140 60.9% 57.7% 1.85 17.6 (3.0) — -11.1% 5 SOG
EDM @ NYI 6:30 PM CT 2.5 -170 +130 59.2% 57.4% 2.99 22.4 (3.2) — -8.8% 5 SOG
EDM @ NYI 6:30 PM CT 1.5 -180 +135 60.2% 56.3% 1.77 21.0 (0.4) UNDER lean +2.7% L 2 SOG · -1.00u
NYI vs EDM 6:30 PM CT 1.5 -125 -105 52.0% 54.7% 1.97 21.1 (2.6) — -1.6% 2 SOG
EDM @ NYI 6:30 PM CT 2.5 -175 +130 59.4% 54.2% 2.68 21.4 (3.3) UNDER best +5.5% W 2 SOG · +1.30u
EDM @ NYI 6:30 PM CT 1.5 -180 +135 60.2% 53.1% 1.57 13.1 (3.1) UNDER best +10.2% W 1 SOG · +1.35u
NYI vs EDM 6:30 PM CT 2.5 -140 +105 54.5% 50.5% 2.59 19.3 (3.3) — -13.4% 7 SOG
EDM @ NYI 6:30 PM CT 2.5 -130 -105 52.5% 50.2% 2.62 23.9 (3.2) — -11.2% 3 SOG
EDM @ NYI 6:30 PM CT 1.5 -120 -110 51.0% 48.4% 1.58 20.3 (0.7) — -11.3% 3 SOG
NYI vs EDM 6:30 PM CT 2.5 +100 -130 46.9% 46.9% 2.63 20.6 (3.7) — -6.3% 1 SOG
NYI vs EDM 6:30 PM CT 2.5 +140 -185 39.1% 36.7% 2.11 18.4 (3.2) — -11.9% 2 SOG
VAN @ DAL 7:00 PM CT 1.5 -180 +135 60.2% 59.9% 2.07 17.9 (3.1) — -6.8% 2 SOG
DAL vs VAN 7:00 PM CT 1.5 -185 +140 60.9% 58.5% 1.90 23.6 (3.0) — -9.9% 3 SOG
VAN @ DAL 7:00 PM CT 1.5 -190 +140 61.1% 58.1% 1.89 15.7 (2.8) — -11.3% 0 SOG
DAL vs VAN 7:00 PM CT 1.5 -160 +120 57.5% 55.3% 1.82 23.7 (2.7) — -10.1% 2 SOG
VAN @ DAL 7:00 PM CT 1.5 -130 +100 53.1% 50.3% 1.63 16.7 (2.8) — -11.0% 1 SOG
DAL vs VAN 7:00 PM CT 2.5 -125 -105 52.0% 49.3% 2.56 21.4 (3.3) — -11.3% 2 SOG
DAL vs VAN 7:00 PM CT 2.5 -150 +115 56.3% 49.1% 2.38 18.2 (2.8) UNDER best +9.4% L 5 SOG · -1.00u
VAN @ DAL 7:00 PM CT 2.5 -110 -120 49.0% 47.2% 2.54 26.6 (3.7) — -9.9% 4 SOG
VAN @ DAL 7:00 PM CT 2.5 +115 -150 43.7% 43.9% 2.46 16.2 (1.7) — -5.6% 2 SOG
DAL vs VAN 7:00 PM CT 2.5 +100 -135 46.5% 42.7% 2.27 19.9 (3.0) — -14.6% 2 SOG
VAN @ DAL 7:00 PM CT 2.5 +115 -150 43.7% 41.2% 2.25 15.7 (1.4) — -11.5% 2 SOG
VAN @ DAL 7:00 PM CT 2.5 +130 -175 40.6% 39.2% 2.20 17.5 (2.0) — -9.9% 3 SOG
DAL vs VAN 7:00 PM CT 2.5 +125 -170 41.4% 37.6% 2.07 18.5 (2.9) — -15.4% 4 SOG
DAL vs VAN 7:00 PM CT 2.5 +130 -170 40.9% 36.6% 2.01 16.7 (1.9) — -15.9% 2 SOG
VGK vs BOS 9:00 PM CT 1.5 -195 +145 61.8% 60.4% 2.06 21.1 (3.5) — -8.7% 0 SOG
VGK vs BOS 9:00 PM CT 1.5 -150 +115 56.3% 58.7% 2.11 18.0 (3.2) — -2.1% 6 SOG
BOS @ VGK 9:00 PM CT 1.5 -190 +140 61.1% 58.6% 1.91 18.5 (2.2) — -10.5% 3 SOG
VGK vs BOS 9:00 PM CT 1.5 -165 +120 57.8% 58.3% 2.01 17.1 (1.3) — -6.4% 3 SOG
VGK vs BOS 9:00 PM CT 2.5 -175 +130 59.4% 56.7% 2.92 20.2 (3.5) — -10.8% 9 SOG
BOS @ VGK 9:00 PM CT 1.5 -150 +115 56.3% 55.3% 1.85 18.2 (2.2) — -7.9% 2 SOG
VGK vs BOS 9:00 PM CT 2.5 -165 +120 57.8% 55.0% 2.82 17.2 (3.1) — -11.8% 3 SOG
BOS @ VGK 9:00 PM CT 1.5 -130 -105 52.5% 50.7% 1.70 23.2 (2.3) — -10.3% 1 SOG
BOS @ VGK 9:00 PM CT 3.5 -105 -130 47.5% 43.9% 3.26 19.2 (2.7) — -14.2% 4 SOG
VGK vs BOS 9:00 PM CT 2.5 +140 -190 38.9% 38.2% 2.20 17.5 (3.2) — -8.4% 6 SOG
VGK vs BOS 9:00 PM CT 2.5 +140 -190 38.9% 34.3% 1.92 22.0 (2.4) — -17.7% 2 SOG
BOS @ VGK 9:00 PM CT 2.5 +150 -200 37.5% 30.9% 1.72 13.1 (0.8) UNDER lean +3.7% W 1 SOG · +0.50u
ANA vs CAR 9:00 PM CT 1.5 -180 +135 60.2% 60.1% 2.05 17.9 (3.2) — -6.5% 1 SOG
CAR @ ANA 9:00 PM CT 2.5 -170 +130 59.2% 56.0% 2.85 16.8 (3.1) — -11.0% 0 SOG
ANA vs CAR 9:00 PM CT 1.5 -155 +120 57.2% 55.9% 1.88 16.5 (3.1) — -8.1% 2 SOG
ANA vs CAR 9:00 PM CT 1.5 -120 -110 51.0% 54.8% 2.02 18.5 (1.5) — +0.4% 1 SOG
ANA vs CAR 9:00 PM CT 1.5 -120 -110 51.0% 54.6% 2.00 15.5 (1.3) — +0.1% 4 SOG
CAR @ ANA 9:00 PM CT 1.5 -165 +120 57.8% 54.1% 1.70 18.4 (1.1) — -13.1% 0 SOG
CAR @ ANA 9:00 PM CT 1.5 -150 +110 55.8% 53.5% 1.75 13.5 (2.0) — -10.9% 2 SOG
CAR @ ANA 9:00 PM CT 1.5 -160 +120 57.5% 51.3% 1.56 18.6 (3.4) UNDER best +7.2% W 1 SOG · +1.20u
ANA vs CAR 9:00 PM CT 1.5 -130 -105 52.5% 50.5% 1.66 16.6 (3.1) — -10.7% 5 SOG
CAR @ ANA 9:00 PM CT 2.5 -150 +115 56.3% 50.4% 2.50 19.8 (3.4) UNDER best +6.6% W 2 SOG · +1.15u
CAR @ ANA 9:00 PM CT 2.5 -150 +110 55.8% 50.2% 2.50 19.0 (3.3) UNDER lean +4.7% L 7 SOG · -1.00u
ANA vs CAR 9:00 PM CT 2.5 -135 +100 53.5% 45.6% 2.23 16.3 (1.2) UNDER best +8.7% L 6 SOG · -1.00u
CAR @ ANA 9:00 PM CT 2.5 +110 -145 44.6% 43.0% 2.35 16.8 (3.2) — -9.8% 2 SOG
CAR @ ANA 9:00 PM CT 2.5 +115 -150 43.7% 39.9% 2.16 15.8 (2.0) — -14.2% 2 SOG
ANA vs CAR 9:00 PM CT 2.5 +135 -180 39.8% 38.7% 2.21 19.4 (2.5) — -9.0% 0 SOG
CAR @ ANA 9:00 PM CT 2.5 +110 -145 44.6% 38.7% 2.05 15.7 (3.0) UNDER lean +3.6% L 3 SOG · -1.00u
LAK vs PIT 9:00 PM CT 1.5 -185 +140 60.9% 61.8% 2.20 16.2 (0.9) — -4.7% 5 SOG
LAK vs PIT 9:00 PM CT 1.5 -195 +145 61.8% 61.8% 2.12 16.9 (0.9) — -6.5% 0 SOG
LAK vs PIT 9:00 PM CT 1.5 -190 +140 61.1% 60.8% 2.11 19.0 (2.6) — -7.2% 6 SOG
LAK vs PIT 9:00 PM CT 1.5 -175 +130 59.4% 57.2% 1.89 15.3 (1.0) — -10.1% 3 SOG
PIT @ LAK 9:00 PM CT 1.5 -155 +115 56.7% 57.2% 2.01 22.3 (2.3) — -6.0% 1 SOG
LAK vs PIT 9:00 PM CT 2.5 -180 +135 60.2% 56.8% 2.91 19.4 (3.0) — -11.6% 5 SOG
LAK vs PIT 9:00 PM CT 2.5 -180 +135 60.2% 55.5% 2.77 18.4 (3.0) UNDER lean +4.7% W 2 SOG · +1.35u
PIT @ LAK 9:00 PM CT 1.5 -135 +100 53.5% 55.1% 1.94 17.9 (2.5) — -4.1% 2 SOG
LAK vs PIT 9:00 PM CT 1.5 -130 +100 53.1% 51.7% 1.76 16.6 (2.9) — -8.6% 0 SOG
PIT @ LAK 9:00 PM CT 1.5 -115 -115 50.0% 50.8% 1.76 22.4 (1.8) — -5.0% 0 SOG
PIT @ LAK 9:00 PM CT 2.5 +110 -145 44.6% 45.3% 2.53 19.8 (2.9) — -4.9% 1 SOG
PIT @ LAK 9:00 PM CT 2.5 +110 -145 44.6% 45.2% 2.56 20.1 (2.7) — -5.1% 5 SOG
PIT @ LAK 9:00 PM CT 2.5 +115 -155 43.4% 40.9% 2.24 18.3 (2.7) — -12.0% 1 SOG

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