← 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
9
Lines priced
138
Best bets
15
Leans
15
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Viktor Arvidsson
DET vs OTT · 6:00 PM CT · F
UNDER 2.5
Price+115
Model56.1%
Book43.4%
EV+20.7%
Fair-128
Stake4.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.90 SOG · 12.8 min (1.9 PP) L 3 SOG · -1.00u
Matthew Wood
NSH @ TOR · 6:00 PM CT · F
UNDER 1.5
Price+105
Model54.2%
Book45.5%
EV+11.0%
Fair-118
Stake2.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.27 SOG · 12.8 min (1.3 PP) W 1 SOG · +1.05u
Tomas Hertl
VGK @ SEA · 8:40 PM CT · F
UNDER 2.5
Price-150
Model65.5%
Book56.3%
EV+9.1%
Fair-190
Stake3.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.71 SOG · 14.1 min (3.1 PP) L 3 SOG · -1.00u
Fabian Zetterlund
OTT @ DET · 6:00 PM CT · F
UNDER 1.5
Price-115
Model57.9%
Book50.0%
EV+8.3%
Fair-138
Stake2.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.20 SOG · 11.2 min (1.0 PP) W 0 SOG · +0.87u
Axel Sandin-Pellikka
DET vs OTT · 6:00 PM CT · D
UNDER 1.5
Price-165
Model67.2%
Book58.4%
EV+7.9%
Fair-204
Stake3.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 0.91 SOG · 14.4 min (1.7 PP) W 1 SOG · +0.61u
Andrei Svechnikov
CAR @ MTL · 6:00 PM CT · F
UNDER 2.5
Price+100
Model53.9%
Book44.8%
EV+7.8%
Fair-117
Stake2.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.13 SOG · 16.2 min (2.8 PP) L 3 SOG · -1.00u
Dylan Holloway
STL @ CHI · 7:00 PM CT · F
UNDER 2.5
Price+110
Model51.3%
Book44.6%
EV+7.7%
Fair-105
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.32 SOG · 18.5 min (2.7 PP) W 1 SOG · +1.10u
Rasmus Andersson
VGK @ SEA · 8:40 PM CT · D
UNDER 1.5
Price+130
Model46.8%
Book40.6%
EV+7.6%
Fair+114
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.58 SOG · 21.8 min (1.1 PP) W 0 SOG · +1.30u
Pavel Dorofeyev
NYR vs NYI · 6:30 PM CT · F
UNDER 2.5
Price+115
Model49.8%
Book43.7%
EV+7.1%
Fair+101
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.42 SOG · 16.7 min (3.4 PP) W 0 SOG · +1.15u
Ross Colton
NSH @ TOR · 6:00 PM CT · F
UNDER 1.5
Price-105
Model54.7%
Book48.0%
EV+6.8%
Fair-121
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.32 SOG · 10.1 min (0.4 PP) L 2 SOG · -1.00u
Jordan Staal
CAR @ MTL · 6:00 PM CT · F
UNDER 1.5
Price+110
Model50.6%
Book43.6%
EV+6.2%
Fair-102
Stake1.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.42 SOG · 16.6 min (1.0 PP) W 1 SOG · +1.10u
Mason McTavish
STL @ CHI · 7:00 PM CT · F
UNDER 1.5
Price+115
Model49.3%
Book41.7%
EV+6.0%
Fair+103
Stake1.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.42 SOG · 11.8 min (2.0 PP) L 2 SOG · -1.00u
Bo Horvat
NYI @ NYR · 6:30 PM CT · F
UNDER 3.5
Price-155
Model64.1%
Book57.2%
EV+5.5%
Fair-179
Stake2.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.70 SOG · 19.7 min (2.9 PP) W 2 SOG · +0.65u
Sebastian Aho
CAR @ MTL · 6:00 PM CT · F
UNDER 2.5
Price-105
Model53.8%
Book44.9%
EV+5.1%
Fair-117
Stake1.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.13 SOG · 18.9 min (2.9 PP) L 3 SOG · -1.00u
Kirill Kaprizov
MIN @ BUF · 6:00 PM CT · F
UNDER 3.5
Price-145
Model62.2%
Book55.4%
EV+5.1%
Fair-164
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.79 SOG · 21.8 min (3.5 PP) W 3 SOG · +0.69u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
NSH @ TOR 6:00 PM CT 1.5 -170 +125 58.6% 58.3% 1.99 20.9 (3.1) — -7.4% 1 SOG
TOR vs NSH 6:00 PM CT 1.5 -175 +130 59.4% 55.8% 1.78 15.0 (1.6) — -12.3% 4 SOG
NSH @ TOR 6:00 PM CT 1.5 -140 -110 52.7% 54.8% 1.99 16.9 (2.9) — -6.1% 2 SOG
TOR vs NSH 6:00 PM CT 2.5 -135 -110 52.3% 49.8% 2.63 19.3 (3.4) — -13.4% 3 SOG
TOR vs NSH 6:00 PM CT 2.5 -115 -115 50.0% 49.6% 2.69 20.5 (3.1) — -7.2% 1 SOG
TOR vs NSH 6:00 PM CT 2.5 +100 -135 46.5% 48.2% 2.71 23.9 (4.0) — -3.6% 2 SOG
TOR vs NSH 6:00 PM CT 1.5 +105 -140 45.5% 46.4% 1.64 15.4 (2.1) — -4.9% 4 SOG
NSH @ TOR 6:00 PM CT 1.5 -140 +105 54.5% 45.8% 1.27 12.8 (1.3) UNDER best +11.0% W 1 SOG · +1.05u
NSH @ TOR 6:00 PM CT 1.5 -125 -105 52.0% 45.3% 1.32 10.1 (0.4) UNDER best +6.8% L 2 SOG · -1.00u
TOR vs NSH 6:00 PM CT 3.5 -120 -140 48.3% 44.9% 3.29 20.3 (2.9) — -17.7% 4 SOG
NSH @ TOR 6:00 PM CT 2.5 -105 -125 48.0% 44.8% 2.34 18.9 (3.2) — -12.6% 3 SOG
TOR vs NSH 6:00 PM CT 1.5 +120 -160 42.5% 43.9% 1.56 20.6 (2.0) — -3.4% 2 SOG
NSH @ TOR 6:00 PM CT 2.5 +110 -200 41.7% 42.6% 2.47 24.6 (3.1) — -10.5% 1 SOG
TOR vs NSH 6:00 PM CT 1.5 +125 -165 41.7% 38.9% 1.27 12.7 (1.0) — -12.5% 2 SOG
NSH @ TOR 6:00 PM CT 3.5 -110 -145 47.0% 38.8% 2.75 19.1 (3.2) UNDER lean +3.3% W 2 SOG · +0.69u
TOR vs NSH 6:00 PM CT 2.5 +125 -195 40.2% 38.3% 2.15 18.7 (3.0) — -13.9% 6 SOG
NSH @ TOR 6:00 PM CT 1.5 +135 -225 38.1% 34.1% 1.09 12.2 (0.5) — -20.0% 2 SOG
MTL vs CAR 6:00 PM CT 1.5 -175 +130 59.4% 61.6% 2.23 21.3 (3.4) — -3.2% 2 SOG
MTL vs CAR 6:00 PM CT 1.5 -150 +110 55.8% 58.7% 2.18 19.2 (3.4) — -2.2% 2 SOG
CAR @ MTL 6:00 PM CT 1.5 -140 +105 54.5% 54.5% 1.87 15.4 (1.7) — -6.7% 4 SOG
MTL vs CAR 6:00 PM CT 2.5 -160 -110 54.0% 52.0% 2.69 18.2 (3.2) — -15.5% 1 SOG
CAR @ MTL 6:00 PM CT 1.5 -115 -115 50.0% 49.6% 1.66 21.5 (0.4) — -7.3% 1 SOG
CAR @ MTL 6:00 PM CT 1.5 -160 +110 56.4% 49.4% 1.42 16.6 (1.0) UNDER best +6.2% W 1 SOG · +1.10u
MTL vs CAR 6:00 PM CT 1.5 -140 -120 51.7% 48.4% 1.53 16.4 (1.1) — -17.1% 0 SOG
CAR @ MTL 6:00 PM CT 1.5 -145 +100 54.2% 47.7% 1.37 16.0 (2.7) UNDER lean +4.7% W 1 SOG · +1.00u
CAR @ MTL 6:00 PM CT 2.5 -145 -115 52.5% 46.7% 2.28 17.3 (3.0) — -21.1% 2 SOG
MTL vs CAR 6:00 PM CT 1.5 -135 -110 52.3% 46.3% 1.36 22.8 (0.7) UNDER lean +2.6% L 2 SOG · -1.00u
CAR @ MTL 6:00 PM CT 2.5 -170 -105 55.1% 46.2% 2.13 18.9 (2.9) UNDER best +5.1% L 3 SOG · -1.00u
CAR @ MTL 6:00 PM CT 2.5 -160 +100 55.2% 46.1% 2.13 16.2 (2.8) UNDER best +7.8% L 3 SOG · -1.00u
CAR @ MTL 6:00 PM CT 1.5 -105 -130 47.5% 44.1% 1.39 15.2 (0.2) — -13.9% 3 SOG
CAR @ MTL 6:00 PM CT 2.5 -110 -140 47.3% 40.4% 1.99 16.8 (2.4) UNDER lean +2.2% W 2 SOG · +0.71u
MTL vs CAR 6:00 PM CT 1.5 +115 -155 43.4% 39.3% 1.23 12.3 (1.3) — -15.5% 0 SOG
CAR @ MTL 6:00 PM CT 2.5 +130 -175 40.6% 37.7% 2.07 16.5 (1.7) — -13.2% 1 SOG
OTT @ DET 6:00 PM CT 1.5 -200 +130 60.5% 61.4% 2.17 20.4 (3.2) — -7.9% 2 SOG
DET vs OTT 6:00 PM CT 1.5 -185 +120 58.8% 59.0% 2.07 18.4 (3.1) — -9.1% 6 SOG
DET vs OTT 6:00 PM CT 1.5 -180 +135 60.2% 58.4% 1.96 24.5 (3.2) — -9.1% 3 SOG
OTT @ DET 6:00 PM CT 1.5 -210 +115 59.3% 57.5% 1.90 25.0 (2.3) — -15.1% 5 SOG
OTT @ DET 6:00 PM CT 1.5 -150 +115 56.3% 54.9% 1.83 18.4 (2.3) — -8.6% 1 SOG
OTT @ DET 6:00 PM CT 1.5 -165 -115 53.8% 53.2% 1.81 17.0 (1.8) — -14.5% 3 SOG
DET vs OTT 6:00 PM CT 2.5 -150 -125 51.9% 53.0% 2.90 18.7 (3.1) — -11.7% 3 SOG
OTT @ DET 6:00 PM CT 1.5 -135 +105 54.1% 50.8% 1.60 16.0 (2.3) — -11.7% 0 SOG
DET vs OTT 6:00 PM CT 2.5 -120 -110 51.0% 49.1% 2.59 19.8 (3.1) — -9.9% 4 SOG
OTT @ DET 6:00 PM CT 1.5 -130 -105 52.5% 48.5% 1.49 22.5 (1.1) — -14.2% 1 SOG
DET vs OTT 6:00 PM CT 1.5 -105 -125 48.0% 47.3% 1.59 21.1 (1.7) — -7.6% 3 SOG
DET vs OTT 6:00 PM CT 2.5 -155 +115 56.7% 43.9% 1.90 12.8 (1.9) UNDER best +20.7% L 3 SOG · -1.00u
OTT @ DET 6:00 PM CT 1.5 -125 -130 49.6% 43.1% 1.24 15.9 (2.2) — -22.4% 2 SOG
OTT @ DET 6:00 PM CT 1.5 -115 -115 50.0% 42.1% 1.20 11.2 (1.0) UNDER best +8.3% W 0 SOG · +0.87u
OTT @ DET 6:00 PM CT 2.5 +120 -160 42.5% 39.8% 2.18 17.1 (2.4) — -12.4% 1 SOG
OTT @ DET 6:00 PM CT 2.5 +115 -150 43.7% 37.2% 1.92 17.2 (2.9) UNDER lean +4.7% W 2 SOG · +0.67u
DET vs OTT 6:00 PM CT 1.5 +125 -165 41.7% 32.9% 0.91 14.4 (1.7) UNDER best +7.9% W 1 SOG · +0.61u
NJD vs UTA 6:00 PM CT 1.5 -165 +125 58.4% 60.8% 2.27 19.0 (3.1) — -2.4% 2 SOG
NJD vs UTA 6:00 PM CT 1.5 -180 +135 60.2% 59.3% 2.02 24.0 (2.7) — -7.7% 3 SOG
NJD vs UTA 6:00 PM CT 1.5 -180 +135 60.2% 58.4% 1.94 15.9 (1.9) — -9.1% 2 SOG
UTA @ NJD 6:00 PM CT 1.5 -155 +115 56.7% 57.5% 2.03 18.4 (3.0) — -5.4% 1 SOG
UTA @ NJD 6:00 PM CT 1.5 -155 +115 56.7% 56.2% 1.90 14.8 (1.7) — -7.5% 2 SOG
NJD vs UTA 6:00 PM CT 1.5 -190 +125 59.6% 55.9% 1.74 14.6 (1.7) — -14.7% 0 SOG
UTA @ NJD 6:00 PM CT 1.5 -185 +125 59.4% 55.8% 1.76 24.2 (3.1) — -14.0% 2 SOG
NJD vs UTA 6:00 PM CT 1.5 -135 +100 53.5% 54.9% 1.99 15.7 (1.2) — -4.5% 2 SOG
NJD vs UTA 6:00 PM CT 2.5 -145 +100 54.2% 52.9% 2.77 17.9 (1.8) — -10.6% 8 SOG
UTA @ NJD 6:00 PM CT 2.5 -130 +100 53.1% 51.4% 2.71 18.2 (3.1) — -9.1% 5 SOG
NJD vs UTA 6:00 PM CT 1.5 +100 -135 46.5% 48.8% 1.77 18.6 (1.5) — -2.4% 2 SOG
UTA @ NJD 6:00 PM CT 1.5 +100 -135 46.5% 46.8% 1.59 20.9 (1.4) — -6.4% 3 SOG
NJD vs UTA 6:00 PM CT 1.5 -110 -120 49.0% 46.7% 1.51 14.0 (1.9) — -10.9% 2 SOG
UTA @ NJD 6:00 PM CT 2.5 +110 -175 42.8% 46.1% 2.71 19.7 (3.3) — -3.1% 3 SOG
NJD vs UTA 6:00 PM CT 3.5 +110 -145 44.6% 45.4% 3.52 22.2 (3.4) — -4.7% 5 SOG
NJD vs UTA 6:00 PM CT 2.5 +130 -170 40.9% 40.3% 2.30 20.6 (3.3) — -7.3% 0 SOG
UTA @ NJD 6:00 PM CT 2.5 +140 -190 38.9% 39.7% 2.31 20.1 (3.2) — -4.7% 4 SOG
NJD vs UTA 6:00 PM CT 2.5 +135 -180 39.8% 38.8% 2.22 20.7 (2.2) — -8.8% 1 SOG
BUF vs MIN 6:00 PM CT 0.5 -155 +115 56.7% 63.1% 1.26 16.7 (1.7) OVER lean +3.8% W 1 SOG · +0.65u
MIN @ BUF 6:00 PM CT 1.5 -145 -120 52.0% 57.4% 2.24 17.6 (1.8) — -3.0% 0 SOG
BUF vs MIN 6:00 PM CT 1.5 -160 +110 56.4% 56.8% 1.97 16.0 (2.2) — -7.8% 0 SOG
BUF vs MIN 6:00 PM CT 1.5 -155 +115 56.7% 56.6% 1.93 18.1 (2.0) — -6.8% 2 SOG
BUF vs MIN 6:00 PM CT 1.5 -110 -120 49.0% 49.5% 1.71 17.4 (2.4) — -5.6% 0 SOG
MIN @ BUF 6:00 PM CT 2.5 -115 -115 50.0% 49.4% 2.67 19.3 (3.2) — -7.6% 0 SOG
BUF vs MIN 6:00 PM CT 2.5 -110 -120 49.0% 45.4% 2.38 24.6 (3.4) — -13.3% 3 SOG
MIN @ BUF 6:00 PM CT 2.5 +100 -130 46.9% 45.0% 2.41 29.1 (3.6) — -9.9% 1 SOG
BUF vs MIN 6:00 PM CT 2.5 -110 -120 49.0% 43.2% 2.15 16.1 (2.9) UNDER lean +4.1% W 2 SOG · +0.83u
MIN @ BUF 6:00 PM CT 2.5 +120 -180 41.4% 41.1% 2.36 18.1 (1.8) — -9.5% 1 SOG
MIN @ BUF 6:00 PM CT 3.5 +115 -155 43.4% 40.9% 3.11 21.7 (3.5) — -12.0% 7 SOG
MIN @ BUF 6:00 PM CT 1.5 +100 -135 46.5% 40.7% 1.23 12.5 (1.2) UNDER lean +3.2% L 2 SOG · -1.00u
BUF vs MIN 6:00 PM CT 3.5 +110 -145 44.6% 40.3% 3.01 19.4 (3.2) — -15.3% 9 SOG
MIN @ BUF 6:00 PM CT 3.5 +110 -145 44.6% 37.8% 2.79 21.8 (3.5) UNDER best +5.1% W 3 SOG · +0.69u
MIN @ BUF 6:00 PM CT 1.5 +120 -160 42.5% 35.5% 1.05 13.0 (0.2) UNDER lean +4.8% W 0 SOG · +0.63u
NYR vs NYI 6:30 PM CT 1.5 -170 +125 58.6% 57.0% 1.92 18.2 (3.1) — -9.5% 3 SOG
NYR vs NYI 6:30 PM CT 1.5 -150 -115 52.9% 51.3% 1.67 23.1 (3.5) — -14.6% 0 SOG
NYR vs NYI 6:30 PM CT 2.5 -150 +115 56.3% 50.2% 2.42 16.7 (3.4) UNDER best +7.1% W 0 SOG · +1.15u
NYR vs NYI 6:30 PM CT 1.5 -120 -110 51.0% 48.5% 1.55 15.1 (1.4) — -11.1% 0 SOG
NYI @ NYR 6:30 PM CT 1.5 -130 -140 49.2% 47.3% 1.54 16.9 (2.6) — -16.4% 2 SOG
NYR vs NYI 6:30 PM CT 1.5 +100 -130 46.9% 46.8% 1.61 15.5 (1.2) — -6.5% 4 SOG
NYR vs NYI 6:30 PM CT 1.5 -105 -130 47.5% 45.9% 1.52 16.2 (1.5) — -10.5% 1 SOG
NYI @ NYR 6:30 PM CT 2.5 +100 -130 46.9% 45.5% 2.45 25.2 (3.1) — -9.0% 2 SOG
NYR vs NYI 6:30 PM CT 2.5 -105 -130 47.5% 44.9% 2.36 20.5 (3.5) — -12.3% 3 SOG
NYI @ NYR 6:30 PM CT 2.5 -125 -155 47.8% 40.0% 1.95 17.1 (2.7) — -27.9% 2 SOG
NYR vs NYI 6:30 PM CT 2.5 +145 -195 38.2% 36.3% 2.06 18.8 (3.4) — -11.1% 3 SOG
NYI @ NYR 6:30 PM CT 3.5 +120 -155 42.8% 35.9% 2.70 19.7 (2.9) UNDER best +5.5% W 2 SOG · +0.65u
CHI vs STL 7:00 PM CT 1.5 -195 +145 61.8% 61.9% 2.19 17.3 (3.1) — -6.3% 1 SOG
CHI vs STL 7:00 PM CT 1.5 -180 +135 60.2% 57.4% 1.84 18.2 (3.1) — -10.7% 0 SOG
CHI vs STL 7:00 PM CT 1.5 -195 +120 59.3% 56.6% 1.83 17.0 (3.0) — -14.3% 3 SOG
STL @ CHI 7:00 PM CT 1.5 -135 +100 53.5% 51.9% 1.69 19.3 (2.7) — -9.6% 3 SOG
STL @ CHI 7:00 PM CT 1.5 -185 +115 58.3% 50.7% 1.42 11.8 (2.0) UNDER best +6.0% L 2 SOG · -1.00u
STL @ CHI 7:00 PM CT 2.5 -145 +110 55.4% 48.7% 2.32 18.5 (2.7) UNDER best +7.7% W 1 SOG · +1.10u
CHI vs STL 7:00 PM CT 2.5 -120 -110 51.0% 46.7% 2.39 18.9 (3.1) — -14.4% 2 SOG
STL @ CHI 7:00 PM CT 1.5 -125 -160 47.5% 46.2% 1.55 16.4 (1.4) — -16.8% 5 SOG
CHI vs STL 7:00 PM CT 1.5 -115 -120 49.5% 45.6% 1.42 23.5 (1.9) — -14.8% 2 SOG
STL @ CHI 7:00 PM CT 2.5 -175 -120 53.9% 44.9% 2.09 17.1 (2.6) — -29.4% 3 SOG
CHI vs STL 7:00 PM CT 2.5 +105 -165 43.9% 36.7% 1.83 17.4 (2.6) — -24.8% 2 SOG
STL @ CHI 7:00 PM CT 1.5 +110 -180 42.6% 34.0% 0.94 19.7 (0.7) UNDER lean +2.7% L 2 SOG · -1.00u
VGK @ SEA 8:40 PM CT 1.5 -185 +140 60.9% 58.8% 1.92 19.1 (3.2) — -9.4% 4 SOG
SEA vs VGK 8:40 PM CT 1.5 -140 +105 54.5% 56.1% 2.02 15.7 (2.8) — -3.8% 3 SOG
SEA vs VGK 8:40 PM CT 1.5 -185 +105 57.1% 56.0% 1.90 20.5 (2.8) — -13.7% 1 SOG
SEA vs VGK 8:40 PM CT 1.5 -140 +105 54.5% 55.5% 1.96 15.9 (2.9) — -4.8% 7 SOG
VGK @ SEA 8:40 PM CT 1.5 -145 +110 55.4% 53.7% 1.76 16.7 (1.1) — -9.3% 1 SOG
VGK @ SEA 8:40 PM CT 1.5 -175 +130 59.4% 53.2% 1.58 21.8 (1.1) UNDER best +7.6% W 0 SOG · +1.30u
SEA vs VGK 8:40 PM CT 1.5 -110 -120 49.0% 51.7% 1.89 17.8 (2.8) — -1.3% 0 SOG
SEA vs VGK 8:40 PM CT 1.5 -110 -120 49.0% 50.3% 1.79 18.6 (2.8) — -4.1% 0 SOG
VGK @ SEA 8:40 PM CT 1.5 -170 -105 55.1% 49.6% 1.47 13.4 (1.5) — -21.2% 2 SOG
VGK @ SEA 8:40 PM CT 1.5 -125 -105 52.0% 48.0% 1.48 15.4 (1.0) — -13.5% 2 SOG
SEA vs VGK 8:40 PM CT 2.5 -135 -165 48.0% 43.7% 2.26 16.8 (1.6) — -23.9% 3 SOG
VGK @ SEA 8:40 PM CT 1.5 -105 -125 48.0% 42.5% 1.30 12.3 (1.3) UNDER lean +3.4% W 0 SOG · +0.80u
SEA vs VGK 8:40 PM CT 1.5 -105 -125 48.0% 42.2% 1.26 13.1 (1.1) UNDER lean +4.0% L 3 SOG · -1.00u
SEA vs VGK 8:40 PM CT 2.5 +140 -185 39.1% 40.6% 2.41 22.3 (2.3) — -2.6% 0 SOG
VGK @ SEA 8:40 PM CT 2.5 +130 -175 40.6% 39.5% 2.23 21.0 (3.3) — -9.1% 2 SOG
VGK @ SEA 8:40 PM CT 2.5 +115 -150 43.7% 34.5% 1.71 14.1 (3.1) UNDER best +9.1% L 3 SOG · -1.00u
VGK @ SEA 8:40 PM CT 3.5 +120 -190 41.0% 34.5% 2.62 20.9 (3.3) — -24.2% 2 SOG
VGK @ SEA 8:40 PM CT 2.5 +140 -190 38.9% 31.7% 1.69 23.9 (1.8) UNDER lean +4.2% L 4 SOG · -1.00u
LAK vs FLA 9:00 PM CT 1.5 -145 +110 55.4% 60.9% 2.43 18.7 (1.5) OVER lean +3.0% W 2 SOG · +0.69u
LAK vs FLA 9:00 PM CT 1.5 -150 +115 56.3% 57.7% 2.06 18.7 (3.5) — -3.9% 0 SOG
FLA @ LAK 9:00 PM CT 2.5 -165 +120 57.8% 56.4% 2.93 17.0 (2.7) — -9.5% 2 SOG
FLA @ LAK 9:00 PM CT 1.5 -115 -115 50.0% 53.7% 2.01 18.2 (2.3) — +0.4% 3 SOG
LAK vs FLA 9:00 PM CT 1.5 +100 -160 44.8% 47.8% 1.75 19.3 (2.9) — -4.4% 0 SOG
FLA @ LAK 9:00 PM CT 1.5 -105 -125 48.0% 47.2% 1.60 24.2 (2.9) — -7.8% 2 SOG
LAK vs FLA 9:00 PM CT 2.5 -105 -130 47.5% 47.2% 2.60 20.5 (3.8) — -7.9% 4 SOG
FLA @ LAK 9:00 PM CT 2.5 -125 -105 52.0% 47.0% 2.34 17.6 (3.4) UNDER lean +3.4% W 2 SOG · +0.95u
LAK vs FLA 9:00 PM CT 2.5 +110 -150 44.3% 46.4% 2.71 21.0 (2.8) — -2.5% 3 SOG
FLA @ LAK 9:00 PM CT 2.5 +105 -135 45.9% 45.6% 2.53 18.6 (3.1) — -6.5% 1 SOG
FLA @ LAK 9:00 PM CT 2.5 +100 -135 46.5% 43.1% 2.26 20.5 (3.2) — -13.9% 3 SOG
FLA @ LAK 9:00 PM CT 2.5 +145 -195 38.2% 39.5% 2.35 18.5 (2.9) — -3.2% 3 SOG
FLA @ LAK 9:00 PM CT 2.5 +145 -200 38.0% 34.1% 1.91 14.9 (2.8) — -16.5% 2 SOG

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