← 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
10
Lines priced
146
Best bets
15
Leans
13
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Adam Jiricek
STL vs SJS · 7:00 PM CT · D
UNDER 1.5
Price+145
Model51.4%
Book38.2%
EV+25.9%
Fair-106
Stake4.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.19 SOG · 19.1 min (1.0 PP) W 1 SOG · +1.45u
Jimmy Snuggerud
STL vs SJS · 7:00 PM CT · F
UNDER 2.5
Price+120
Model50.7%
Book42.5%
EV+11.4%
Fair-103
Stake2.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.28 SOG · 17.4 min (2.9 PP) W 1 SOG · +1.20u
Shayne Gostisbehere
CAR vs VAN · 6:00 PM CT · D
UNDER 1.5
Price+125
Model49.1%
Book41.7%
EV+10.5%
Fair+104
Stake2.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.45 SOG · 16.2 min (3.0 PP) L 2 SOG · -1.00u
Andrei Svechnikov
CAR vs VAN · 6:00 PM CT · F
UNDER 2.5
Price+115
Model51.2%
Book43.4%
EV+10.0%
Fair-105
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.27 SOG · 16.4 min (3.0 PP) L 4 SOG · -1.00u
William Eklund
OTT vs PHI · 6:00 PM CT · F
UNDER 2.5
Price-135
Model62.8%
Book52.9%
EV+9.3%
Fair-169
Stake3.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.80 SOG · 17.1 min (2.4 PP) W 0 SOG · +0.74u
Cole Caufield
MTL vs NSH · 6:00 PM CT · F
UNDER 3.5
Price-120
Model59.5%
Book51.0%
EV+9.0%
Fair-147
Stake2.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.79 SOG · 18.0 min (3.4 PP) L 6 SOG · -1.00u
Mason McTavish
STL vs SJS · 7:00 PM CT · F
UNDER 2.5
Price-170
Model68.6%
Book59.2%
EV+8.9%
Fair-218
Stake3.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.58 SOG · 12.1 min (2.2 PP) L 5 SOG · -1.00u
Jeremy Lauzon
VGK vs TOR · 9:00 PM CT · D
UNDER 1.5
Price-155
Model66.2%
Book57.2%
EV+8.9%
Fair-196
Stake3.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 0.94 SOG · 15.6 min (0.1 PP) L 2 SOG · -1.00u
Sebastian Aho
CAR vs VAN · 6:00 PM CT · F
UNDER 2.5
Price+100
Model54.3%
Book46.5%
EV+8.5%
Fair-119
Stake2.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.19 SOG · 18.9 min (3.2 PP) W 1 SOG · +1.00u
JJ Peterka
BOS vs UTA · 6:00 PM CT · F
UNDER 1.5
Price+130
Model46.9%
Book40.6%
EV+7.9%
Fair+113
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.55 SOG · 13.8 min (1.7 PP) W 0 SOG · +1.30u
Kyle Palmieri
NYI vs CHI · 6:30 PM CT · F
UNDER 2.5
Price-115
Model57.6%
Book50.0%
EV+7.6%
Fair-136
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.07 SOG · 17.1 min (2.9 PP) W 1 SOG · +0.87u
Fabian Zetterlund
OTT vs PHI · 6:00 PM CT · F
UNDER 1.5
Price-115
Model57.5%
Book50.0%
EV+7.5%
Fair-135
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.22 SOG · 11.2 min (1.3 PP) L 3 SOG · -1.00u
William Carrier
CAR vs VAN · 6:00 PM CT · F
UNDER 1.5
Price-155
Model65.0%
Book54.3%
EV+6.9%
Fair-185
Stake2.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 0.93 SOG · 9.6 min (0.4 PP) W 1 SOG · +0.65u
Matthew Wood
NSH @ MTL · 6:00 PM CT · F
UNDER 1.5
Price-110
Model55.3%
Book48.5%
EV+5.5%
Fair-124
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.28 SOG · 12.7 min (1.4 PP) W 1 SOG · +0.91u
Sean Walker
CAR vs VAN · 6:00 PM CT · D
UNDER 2.5
Price-175
Model67.1%
Book59.4%
EV+5.5%
Fair-204
Stake2.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.71 SOG · 21.2 min (0.4 PP) W 0 SOG · +0.57u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
UTA @ BOS 6:00 PM CT 1.5 -150 +115 56.3% 57.7% 2.05 18.5 (3.2) — -3.9% 0 SOG
UTA @ BOS 6:00 PM CT 1.5 -175 +130 59.4% 57.7% 1.91 14.8 (1.8) — -9.4% 1 SOG
UTA @ BOS 6:00 PM CT 1.5 -185 +115 58.3% 55.2% 1.76 24.3 (3.3) — -14.9% 0 SOG
UTA @ BOS 6:00 PM CT 2.5 -155 +120 57.2% 54.5% 2.77 18.3 (3.4) — -10.4% 0 SOG
BOS vs UTA 6:00 PM CT 1.5 -170 +110 56.9% 54.4% 1.73 18.0 (2.7) — -13.7% 0 SOG
BOS vs UTA 6:00 PM CT 1.5 -175 +130 59.4% 53.1% 1.55 13.8 (1.7) UNDER best +7.9% W 0 SOG · +1.30u
BOS vs UTA 6:00 PM CT 1.5 -155 +115 56.7% 53.0% 1.69 17.6 (3.0) — -12.8% 1 SOG
UTA @ BOS 6:00 PM CT 1.5 -135 +100 53.5% 52.1% 1.73 19.4 (3.5) — -9.4% 3 SOG
UTA @ BOS 6:00 PM CT 2.5 +100 -135 46.5% 47.3% 2.65 19.8 (3.5) — -5.5% 4 SOG
UTA @ BOS 6:00 PM CT 1.5 +110 -145 44.6% 45.9% 1.62 20.9 (1.5) — -3.7% 2 SOG
UTA @ BOS 6:00 PM CT 2.5 -115 -115 50.0% 45.7% 2.33 20.3 (3.4) — -14.6% 3 SOG
BOS vs UTA 6:00 PM CT 1.5 +100 -135 46.5% 43.5% 1.38 15.6 (1.6) — -13.0% 4 SOG
BOS vs UTA 6:00 PM CT 1.5 -105 -130 47.5% 41.4% 1.23 21.0 (1.4) UNDER lean +3.7% W 1 SOG · +0.77u
BOS vs UTA 6:00 PM CT 1.5 +110 -145 44.6% 40.7% 1.27 13.1 (1.0) — -14.5% 0 SOG
BOS vs UTA 6:00 PM CT 1.5 +100 -135 46.5% 39.8% 1.16 20.1 (0.4) UNDER lean +4.9% W 1 SOG · +0.74u
BOS vs UTA 6:00 PM CT 3.5 +130 -170 40.9% 38.9% 3.08 20.6 (3.6) — -10.6% 4 SOG
BOS vs UTA 6:00 PM CT 2.5 +120 -160 42.5% 37.8% 2.02 18.2 (3.2) — -16.9% 1 SOG
DAL @ BUF 6:00 PM CT 1.5 -165 +125 58.4% 57.7% 1.97 25.1 (4.1) — -7.3% 1 SOG
DAL @ BUF 6:00 PM CT 1.5 -175 +130 59.4% 57.6% 1.93 16.1 (3.3) — -9.6% 6 SOG
BUF vs DAL 6:00 PM CT 2.5 -160 +120 57.5% 55.6% 2.92 19.6 (3.9) — -9.7% 6 SOG
BUF vs DAL 6:00 PM CT 1.5 -135 +100 53.5% 54.0% 1.87 18.0 (2.4) — -6.0% 4 SOG
DAL @ BUF 6:00 PM CT 1.5 -110 -120 49.0% 48.8% 1.65 23.0 (1.7) — -6.8% 0 SOG
DAL @ BUF 6:00 PM CT 1.5 +100 -135 46.5% 44.9% 1.49 14.4 (2.1) — -10.1% 0 SOG
DAL @ BUF 6:00 PM CT 2.5 +105 -140 45.5% 43.3% 2.35 20.8 (4.1) — -11.3% 1 SOG
BUF vs DAL 6:00 PM CT 2.5 +130 -175 40.6% 41.3% 2.38 24.7 (4.0) — -4.9% 1 SOG
DAL @ BUF 6:00 PM CT 3.5 +130 -170 40.9% 40.0% 3.17 20.8 (4.3) — -8.1% 4 SOG
BUF vs DAL 6:00 PM CT 2.5 +110 -145 44.6% 40.0% 2.10 16.2 (3.4) — -16.1% 1 SOG
DAL @ BUF 6:00 PM CT 2.5 +135 -180 39.8% 38.1% 2.17 19.9 (4.4) — -10.4% 2 SOG
NSH @ MTL 6:00 PM CT 1.5 -140 +105 54.5% 57.0% 2.07 21.2 (3.5) — -2.3% 2 SOG
NSH @ MTL 6:00 PM CT 2.5 -145 +110 55.4% 54.1% 2.84 19.3 (3.6) — -8.6% 3 SOG
NSH @ MTL 6:00 PM CT 1.5 +105 -140 45.5% 51.1% 2.03 16.9 (3.2) OVER lean +4.8% L 0 SOG · -1.00u
MTL vs NSH 6:00 PM CT 1.5 -105 -125 48.0% 47.9% 1.63 16.3 (1.2) — -6.4% 1 SOG
NSH @ MTL 6:00 PM CT 1.5 +105 -140 45.5% 47.9% 1.76 16.2 (1.0) — -1.8% 0 SOG
NSH @ MTL 6:00 PM CT 2.5 -110 -120 49.0% 45.6% 2.35 19.0 (3.6) — -12.9% 2 SOG
NSH @ MTL 6:00 PM CT 2.5 +100 -135 46.5% 45.4% 2.47 24.6 (3.5) — -9.3% 2 SOG
NSH @ MTL 6:00 PM CT 1.5 -125 -110 51.5% 44.7% 1.28 12.7 (1.4) UNDER best +5.5% W 1 SOG · +0.91u
MTL vs NSH 6:00 PM CT 2.5 +100 -130 46.9% 43.5% 2.28 21.3 (3.6) — -12.9% 1 SOG
MTL vs NSH 6:00 PM CT 3.5 -110 -120 49.0% 40.5% 2.79 18.0 (3.4) UNDER best +9.0% L 6 SOG · -1.00u
MTL vs NSH 6:00 PM CT 1.5 +120 -160 42.5% 38.6% 1.23 12.2 (1.4) — -15.0% 1 SOG
NSH @ MTL 6:00 PM CT 1.5 +135 -185 39.6% 34.7% 1.10 12.1 (0.5) — -18.6% 1 SOG
OTT vs PHI 6:00 PM CT 1.5 -190 +140 61.1% 60.1% 2.03 17.7 (3.9) — -8.3% 3 SOG
OTT vs PHI 6:00 PM CT 1.5 -225 +140 62.4% 58.8% 1.88 18.7 (3.0) — -15.1% 2 SOG
PHI @ OTT 6:00 PM CT 1.5 -140 +105 54.5% 53.9% 1.84 16.0 (2.4) — -7.6% 0 SOG
PHI @ OTT 6:00 PM CT 1.5 -140 -105 53.3% 53.1% 1.83 17.7 (2.9) — -8.9% 2 SOG
PHI @ OTT 6:00 PM CT 1.5 -110 -120 49.0% 48.7% 1.67 16.9 (2.6) — -7.0% 3 SOG
PHI @ OTT 6:00 PM CT 1.5 -125 -140 48.8% 48.5% 1.67 17.6 (2.9) — -12.7% 3 SOG
PHI @ OTT 6:00 PM CT 1.5 -115 -120 49.5% 47.0% 1.52 12.5 (1.8) — -12.2% 1 SOG
PHI @ OTT 6:00 PM CT 1.5 -105 -125 48.0% 45.6% 1.49 17.2 (2.0) — -11.1% 0 SOG
PHI @ OTT 6:00 PM CT 1.5 -110 -120 49.0% 45.2% 1.43 16.5 (0.7) — -13.7% 4 SOG
OTT vs PHI 6:00 PM CT 2.5 +105 -135 45.9% 42.5% 2.24 17.4 (3.2) — -12.9% 1 SOG
OTT vs PHI 6:00 PM CT 1.5 -115 -115 50.0% 42.5% 1.22 11.2 (1.3) UNDER best +7.5% L 3 SOG · -1.00u
PHI @ OTT 6:00 PM CT 2.5 -105 -125 48.0% 42.4% 2.12 16.7 (1.8) UNDER lean +3.6% L 4 SOG · -1.00u
OTT vs PHI 6:00 PM CT 1.5 +100 -130 46.9% 41.1% 1.24 16.2 (2.8) UNDER lean +4.2% L 2 SOG · -1.00u
OTT vs PHI 6:00 PM CT 2.5 +130 -170 40.9% 39.7% 2.22 21.0 (4.2) — -8.7% 0 SOG
OTT vs PHI 6:00 PM CT 2.5 -105 -135 47.1% 37.2% 1.80 17.1 (2.4) UNDER best +9.3% W 0 SOG · +0.74u
MIN @ TBL 6:00 PM CT 1.5 -165 +120 57.8% 60.0% 2.22 18.2 (2.0) — -3.6% 6 SOG
TBL vs MIN 6:00 PM CT 2.5 -145 +110 55.4% 56.2% 3.05 22.0 (3.5) — -5.0% 3 SOG
MIN @ TBL 6:00 PM CT 1.5 -120 -110 51.0% 56.2% 2.17 17.6 (1.9) OVER lean +3.0% L 0 SOG · -1.00u
MIN @ TBL 6:00 PM CT 2.5 -155 +105 55.5% 55.8% 3.01 21.9 (3.8) — -8.2% 3 SOG
TBL vs MIN 6:00 PM CT 2.5 -140 +100 53.9% 55.5% 3.14 20.3 (4.5) — -4.8% 1 SOG
MIN @ TBL 6:00 PM CT 2.5 -170 +130 59.2% 54.6% 2.69 21.9 (3.9) UNDER lean +4.4% W 0 SOG · +1.30u
TBL vs MIN 6:00 PM CT 2.5 -105 -125 48.0% 49.1% 2.74 19.9 (4.4) — -4.2% 1 SOG
TBL vs MIN 6:00 PM CT 1.5 -105 -125 48.0% 48.7% 1.69 18.3 (0.8) — -5.0% 4 SOG
MIN @ TBL 6:00 PM CT 2.5 +110 -150 44.3% 45.1% 2.57 19.6 (3.5) — -5.3% 6 SOG
MIN @ TBL 6:00 PM CT 2.5 +110 -150 44.3% 42.6% 2.32 29.2 (4.0) — -10.6% 4 SOG
TBL vs MIN 6:00 PM CT 2.5 +110 -145 44.6% 40.6% 2.14 17.4 (4.1) — -14.8% 2 SOG
TBL vs MIN 6:00 PM CT 2.5 +145 -195 38.2% 36.3% 2.07 24.2 (2.6) — -11.0% 9 SOG
CAR vs VAN 6:00 PM CT 1.5 -170 +130 59.2% 58.7% 2.00 15.6 (1.9) — -6.8% 2 SOG
VAN @ CAR 6:00 PM CT 1.5 -190 +145 61.6% 57.9% 1.81 16.8 (2.9) UNDER lean +3.2% L 4 SOG · -1.00u
VAN @ CAR 6:00 PM CT 1.5 -130 -105 52.5% 51.1% 1.72 19.1 (3.2) — -9.6% 1 SOG
CAR vs VAN 6:00 PM CT 1.5 -165 +125 58.4% 50.9% 1.45 16.2 (3.0) UNDER best +10.5% L 2 SOG · -1.00u
CAR vs VAN 6:00 PM CT 1.5 -165 -110 54.3% 49.2% 1.50 16.5 (1.1) — -20.9% 0 SOG
CAR vs VAN 6:00 PM CT 2.5 -155 +115 56.7% 48.9% 2.27 16.4 (3.0) UNDER best +10.0% L 4 SOG · -1.00u
VAN @ CAR 6:00 PM CT 1.5 -135 +100 53.5% 48.8% 1.50 18.3 (3.1) UNDER lean +2.4% W 1 SOG · +1.00u
CAR vs VAN 6:00 PM CT 2.5 -130 +100 53.1% 48.2% 2.40 17.4 (3.3) UNDER lean +3.6% W 1 SOG · +1.00u
CAR vs VAN 6:00 PM CT 1.5 -155 -105 54.3% 48.0% 1.44 15.1 (0.2) — -21.1% 2 SOG
VAN @ CAR 6:00 PM CT 1.5 -110 -120 49.0% 45.9% 1.47 25.8 (2.8) — -12.5% 1 SOG
CAR vs VAN 6:00 PM CT 2.5 -135 +100 53.5% 45.8% 2.19 18.9 (3.2) UNDER best +8.5% W 1 SOG · +1.00u
CAR vs VAN 6:00 PM CT 1.5 -115 -120 49.5% 45.6% 1.44 22.0 (0.3) — -14.8% 0 SOG
CAR vs VAN 6:00 PM CT 2.5 +115 -155 43.4% 40.5% 2.19 16.6 (1.9) — -13.0% 5 SOG
CAR vs VAN 6:00 PM CT 2.5 +110 -170 43.1% 39.1% 2.09 17.0 (2.6) — -17.9% 5 SOG
CAR vs VAN 6:00 PM CT 1.5 -105 -155 45.7% 35.1% 0.93 9.6 (0.4) UNDER best +6.9% W 1 SOG · +0.65u
CAR vs VAN 6:00 PM CT 2.5 +130 -175 40.6% 32.9% 1.71 21.2 (0.4) UNDER best +5.5% W 0 SOG · +0.57u
CHI @ NYI 6:30 PM CT 1.5 -185 +135 60.4% 57.5% 1.85 17.1 (2.2) — -11.4% 2 SOG
NYI vs CHI 6:30 PM CT 2.5 -155 +120 57.2% 56.0% 2.94 19.7 (3.0) — -7.9% 4 SOG
CHI @ NYI 6:30 PM CT 1.5 -155 +120 57.2% 55.3% 1.82 16.8 (2.6) — -9.0% 1 SOG
CHI @ NYI 6:30 PM CT 1.5 -145 +110 55.4% 54.6% 1.86 17.8 (2.6) — -7.8% 1 SOG
NYI vs CHI 6:30 PM CT 2.5 -170 +120 58.1% 54.5% 2.72 25.4 (3.3) — -13.4% 4 SOG
NYI vs CHI 6:30 PM CT 1.5 -155 +115 56.7% 53.3% 1.68 17.0 (2.7) — -12.3% 1 SOG
NYI vs CHI 6:30 PM CT 1.5 -110 -120 49.0% 53.0% 2.01 20.3 (1.5) — +1.2% 0 SOG
NYI vs CHI 6:30 PM CT 1.5 -125 -105 52.0% 52.6% 1.81 15.6 (2.1) — -5.4% 0 SOG
NYI vs CHI 6:30 PM CT 1.5 +100 -135 46.5% 45.7% 1.54 14.6 (1.9) — -8.7% 2 SOG
NYI vs CHI 6:30 PM CT 1.5 +100 -130 46.9% 45.7% 1.55 15.7 (2.7) — -8.7% 0 SOG
CHI @ NYI 6:30 PM CT 1.5 +105 -140 45.5% 44.0% 1.45 23.5 (1.6) — -9.7% 2 SOG
CHI @ NYI 6:30 PM CT 2.5 +120 -160 42.5% 42.8% 2.41 18.6 (2.6) — -5.9% 0 SOG
NYI vs CHI 6:30 PM CT 2.5 -115 -115 50.0% 42.4% 2.07 17.1 (2.9) UNDER best +7.6% W 1 SOG · +0.87u
CHI @ NYI 6:30 PM CT 2.5 +105 -155 44.5% 41.3% 2.19 16.9 (2.6) — -15.4% 3 SOG
SJS @ STL 7:00 PM CT 1.5 -165 +125 58.4% 57.8% 1.97 16.9 (1.3) — -7.1% 1 SOG
STL vs SJS 7:00 PM CT 1.5 -145 +110 55.4% 54.8% 1.83 19.4 (3.1) — -7.4% 2 SOG
SJS @ STL 7:00 PM CT 1.5 -140 +105 54.5% 53.3% 1.79 17.1 (2.9) — -8.7% 3 SOG
SJS @ STL 7:00 PM CT 1.5 -120 -110 51.0% 50.9% 1.75 22.4 (0.3) — -6.7% 2 SOG
SJS @ STL 7:00 PM CT 1.5 -105 -125 48.0% 50.3% 1.85 13.7 (2.8) — -1.8% 4 SOG
STL vs SJS 7:00 PM CT 1.5 -125 -110 51.5% 50.0% 1.67 16.8 (2.3) — -10.1% 1 SOG
STL vs SJS 7:00 PM CT 2.5 -135 -105 52.9% 49.9% 2.57 18.7 (3.0) — -13.2% 2 SOG
STL vs SJS 7:00 PM CT 2.5 -160 +120 57.5% 49.4% 2.28 17.4 (2.9) UNDER best +11.4% W 1 SOG · +1.20u
STL vs SJS 7:00 PM CT 1.5 -195 +145 61.8% 48.6% 1.19 19.1 (1.0) UNDER best +25.9% W 1 SOG · +1.45u
SJS @ STL 7:00 PM CT 1.5 +110 -145 44.6% 47.7% 1.76 24.4 (0.4) — +0.1% 4 SOG
STL vs SJS 7:00 PM CT 1.5 +100 -145 45.8% 47.6% 1.67 16.4 (1.6) — -4.9% 2 SOG
SJS @ STL 7:00 PM CT 1.5 -110 -120 49.0% 46.1% 1.48 14.9 (1.2) — -12.0% 0 SOG
SJS @ STL 7:00 PM CT 1.5 -105 -125 48.0% 45.9% 1.50 18.5 (2.6) — -10.3% 2 SOG
STL vs SJS 7:00 PM CT 1.5 +105 -135 45.9% 43.1% 1.37 14.3 (1.9) — -11.8% 2 SOG
SJS @ STL 7:00 PM CT 2.5 +135 -180 39.8% 37.7% 2.11 17.7 (2.9) — -11.4% 1 SOG
STL vs SJS 7:00 PM CT 2.5 +130 -170 40.9% 31.4% 1.58 12.1 (2.2) UNDER best +8.9% L 5 SOG · -1.00u
COL @ CGY 8:00 PM CT 1.5 -175 +130 59.4% 64.1% 2.51 18.9 (3.1) — +0.7% 1 SOG
CGY vs COL 8:00 PM CT 1.5 -175 +130 59.4% 58.0% 1.94 17.6 (2.7) — -8.9% 2 SOG
COL @ CGY 8:00 PM CT 1.5 -165 +125 58.4% 57.6% 1.95 18.0 (1.6) — -7.5% 1 SOG
CGY vs COL 8:00 PM CT 1.5 -160 +120 57.5% 57.2% 1.93 18.0 (1.2) — -7.1% 8 SOG
COL @ CGY 8:00 PM CT 1.5 -165 +125 58.4% 55.8% 1.82 17.6 (1.2) — -10.4% 1 SOG
CGY vs COL 8:00 PM CT 1.5 -135 +100 53.5% 52.4% 1.76 17.0 (2.8) — -8.8% 1 SOG
COL @ CGY 8:00 PM CT 1.5 -140 +105 54.5% 51.2% 1.63 18.2 (0.6) — -12.2% 2 SOG
COL @ CGY 8:00 PM CT 2.5 -170 +100 55.7% 51.1% 2.53 21.1 (3.6) — -18.9% 2 SOG
COL @ CGY 8:00 PM CT 3.5 -135 +105 54.1% 50.2% 3.50 21.2 (3.6) UNDER lean +2.1% W 2 SOG · +1.05u
COL @ CGY 8:00 PM CT 1.5 -120 -110 51.0% 49.8% 1.66 24.2 (1.8) — -8.8% 3 SOG
CGY vs COL 8:00 PM CT 1.5 -115 -115 50.0% 49.7% 1.70 17.2 (1.1) — -7.1% 2 SOG
COL @ CGY 8:00 PM CT 2.5 -125 -110 51.5% 49.7% 2.61 25.7 (3.5) — -10.6% 2 SOG
COL @ CGY 8:00 PM CT 1.5 -170 +100 55.7% 48.7% 1.42 13.4 (2.4) UNDER lean +2.6% L 6 SOG · -1.00u
CGY vs COL 8:00 PM CT 1.5 -115 -115 50.0% 46.5% 1.49 20.7 (2.8) — -13.1% 1 SOG
COL @ CGY 8:00 PM CT 2.5 +120 -155 42.8% 44.5% 2.56 17.8 (3.3) — -2.1% 2 SOG
CGY vs COL 8:00 PM CT 2.5 -105 -145 46.4% 43.0% 2.26 17.6 (2.8) — -16.1% 0 SOG
VGK vs TOR 9:00 PM CT 1.5 -160 +120 57.5% 60.1% 2.20 19.3 (3.6) — -2.3% 5 SOG
VGK vs TOR 9:00 PM CT 1.5 -180 +135 60.2% 59.2% 2.00 16.6 (1.3) — -7.9% 1 SOG
TOR @ VGK 9:00 PM CT 1.5 -160 +120 57.5% 57.7% 1.98 18.4 (2.5) — -6.3% 0 SOG
TOR @ VGK 9:00 PM CT 2.5 -170 +130 59.2% 57.5% 2.98 20.1 (2.3) — -8.6% 2 SOG
VGK vs TOR 9:00 PM CT 1.5 -145 +110 55.4% 56.8% 2.04 14.6 (3.5) — -4.0% 3 SOG
VGK vs TOR 9:00 PM CT 1.5 -110 -120 49.0% 49.3% 1.72 15.6 (1.2) — -5.8% 4 SOG
VGK vs TOR 9:00 PM CT 1.5 -140 -120 51.7% 48.1% 1.50 12.6 (1.5) — -17.6% 3 SOG
TOR @ VGK 9:00 PM CT 1.5 +100 -130 46.9% 46.5% 1.60 14.8 (1.3) — -7.1% 3 SOG
TOR @ VGK 9:00 PM CT 1.5 -110 -120 49.0% 46.3% 1.50 15.2 (1.8) — -11.7% 1 SOG
VGK vs TOR 9:00 PM CT 2.5 +100 -145 45.8% 45.9% 2.56 21.2 (3.7) — -8.2% 5 SOG
VGK vs TOR 9:00 PM CT 1.5 +100 -135 46.5% 44.8% 1.47 20.3 (0.6) — -10.5% 1 SOG
TOR @ VGK 9:00 PM CT 2.5 +110 -150 44.3% 44.1% 2.48 23.3 (3.3) — -7.4% 1 SOG
TOR @ VGK 9:00 PM CT 2.5 +120 -155 42.8% 42.0% 2.35 18.9 (2.8) — -7.7% 3 SOG
TOR @ VGK 9:00 PM CT 2.5 +130 -190 39.9% 41.4% 2.43 20.1 (2.5) — -4.8% 5 SOG
VGK vs TOR 9:00 PM CT 3.5 +100 -170 44.3% 40.7% 3.08 21.2 (3.8) — -18.6% 6 SOG
VGK vs TOR 9:00 PM CT 1.5 +105 -140 45.5% 39.7% 1.18 19.5 (0.2) UNDER lean +3.4% W 1 SOG · +0.71u
VGK vs TOR 9:00 PM CT 1.5 +120 -155 42.8% 33.8% 0.94 15.6 (0.1) UNDER best +8.9% L 2 SOG · -1.00u

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