← 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
8
Lines priced
132
Best bets
20
Leans
16
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Maxim Shabanov
MIN @ NSH · 7:00 PM CT · F
UNDER 1.5
Price+125
Model52.6%
Book41.7%
EV+18.3%
Fair-111
Stake3.7%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.22 SOG · 12.5 min (1.2 PP) W 0 SOG · +1.25u
Kent Johnson
CBJ vs BUF · 6:00 PM CT · F
UNDER 1.5
Price+120
Model53.2%
Book42.8%
EV+17.0%
Fair-113
Stake3.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.22 SOG · 11.7 min (1.6 PP) W 1 SOG · +1.20u
Vasily Podkolzin
EDM @ VAN · 9:00 PM CT · F
UNDER 2.5
Price-130
Model64.1%
Book53.1%
EV+13.4%
Fair-179
Stake4.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.71 SOG · 16.4 min (1.5 PP) L 4 SOG · -1.00u
Jack Quinn
BUF @ CBJ · 6:00 PM CT · F
UNDER 2.5
Price+100
Model56.5%
Book46.5%
EV+13.0%
Fair-130
Stake3.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.00 SOG · 15.8 min (2.7 PP) L 4 SOG · -1.00u
Mattias Ekholm
EDM @ VAN · 9:00 PM CT · D
UNDER 1.5
Price+110
Model53.0%
Book44.6%
EV+11.2%
Fair-113
Stake2.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.31 SOG · 19.4 min (0.5 PP) W 0 SOG · +1.10u
MacKenzie Weegar
UTA vs CHI · 8:30 PM CT · D
UNDER 1.5
Price+145
Model44.6%
Book38.4%
EV+9.4%
Fair+124
Stake1.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.66 SOG · 20.9 min (1.5 PP) L 2 SOG · -1.00u
Matthew Wood
NSH vs MIN · 7:00 PM CT · F
UNDER 1.5
Price+105
Model53.3%
Book45.5%
EV+9.3%
Fair-114
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.30 SOG · 12.8 min (1.4 PP) W 0 SOG · +1.05u
Noah Ostlund
BUF @ CBJ · 6:00 PM CT · F
UNDER 1.5
Price-140
Model63.5%
Book54.5%
EV+8.9%
Fair-174
Stake3.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.01 SOG · 12.4 min (1.5 PP) role change L 3 SOG · -1.00u
Jake DeBrusk
VAN vs EDM · 9:00 PM CT · F
UNDER 2.5
Price+105
Model52.8%
Book45.5%
EV+8.2%
Fair-112
Stake2.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.25 SOG · 17.2 min (3.3 PP) L 4 SOG · -1.00u
Mikhail Sergachev
UTA vs CHI · 8:30 PM CT · D
UNDER 2.5
Price-150
Model64.9%
Book56.3%
EV+8.1%
Fair-184
Stake3.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.76 SOG · 24.2 min (3.3 PP) L 3 SOG · -1.00u
Adam Larsson
SEA @ CGY · 8:00 PM CT · D
UNDER 1.5
Price-115
Model57.4%
Book50.0%
EV+7.3%
Fair-135
Stake2.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.22 SOG · 20.5 min (0.2 PP) W 1 SOG · +0.87u
Matthew Tkachuk
FLA @ SJS · 9:00 PM CT · F
UNDER 2.5
Price+110
Model51.0%
Book44.6%
EV+7.1%
Fair-104
Stake1.6%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.36 SOG · 17.5 min (3.4 PP) W 2 SOG · +1.10u
Morgan Frost
CGY vs SEA · 8:00 PM CT · F
UNDER 2.5
Price-145
Model63.3%
Book55.4%
EV+6.9%
Fair-172
Stake2.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.85 SOG · 17.0 min (2.9 PP) W 2 SOG · +0.69u
Matvei Michkov
PHI @ NJD · 6:00 PM CT · F
UNDER 1.5
Price+130
Model46.2%
Book40.6%
EV+6.3%
Fair+116
Stake1.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.62 SOG · 12.6 min (1.7 PP) W 1 SOG · +1.30u
Matvei Gridin
CGY vs SEA · 8:00 PM CT · F
UNDER 2.5
Price-120
Model57.9%
Book51.0%
EV+6.1%
Fair-137
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.07 SOG · 17.6 min (2.8 PP) W 0 SOG · +0.83u
Ross Colton
NSH vs MIN · 7:00 PM CT · F
UNDER 1.5
Price-105
Model54.2%
Book47.5%
EV+5.9%
Fair-118
Stake1.5%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.33 SOG · 10.1 min (0.4 PP) L 2 SOG · -1.00u
Brayden Point
TBL @ NYR · 6:00 PM CT · F
UNDER 2.5
Price-155
Model64.2%
Book56.7%
EV+5.7%
Fair-179
Stake2.2%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.82 SOG · 16.9 min (3.5 PP) W 1 SOG · +0.65u
Denton Mateychuk
CBJ vs BUF · 6:00 PM CT · D
UNDER 1.5
Price-140
Model61.6%
Book54.5%
EV+5.6%
Fair-160
Stake2.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.13 SOG · 18.9 min (1.0 PP) L 2 SOG · -1.00u
Vince Dunn
SEA @ CGY · 8:00 PM CT · D
UNDER 2.5
Price-145
Model62.4%
Book53.6%
EV+5.4%
Fair-166
Stake1.9%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.84 SOG · 20.2 min (2.6 PP) role change W 2 SOG · +0.69u
Valeri Nichushkin
CBJ vs BUF · 6:00 PM CT · F
UNDER 1.5
Price+135
Model44.8%
Book39.8%
EV+5.2%
Fair+123
Stake1.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.68 SOG · 14.7 min (1.0 PP) role change W 0 SOG · +1.35u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
NJD vs PHI 6:00 PM CT 1.5 -180 +135 60.2% 59.3% 2.01 24.0 (2.7) — -7.8% 5 SOG
PHI @ NJD 6:00 PM CT 1.5 -140 +105 54.5% 55.2% 1.93 17.8 (2.8) — -5.3% 1 SOG
NJD vs PHI 6:00 PM CT 1.5 -140 -120 51.7% 54.1% 1.97 15.7 (1.2) — -7.3% 2 SOG
PHI @ NJD 6:00 PM CT 1.5 -175 +130 59.4% 53.8% 1.62 12.6 (1.7) UNDER best +6.3% W 1 SOG · +1.30u
NJD vs PHI 6:00 PM CT 2.5 -140 +105 54.5% 53.0% 2.79 17.9 (1.8) — -9.1% 4 SOG
PHI @ NJD 6:00 PM CT 1.5 -135 +105 54.1% 52.4% 1.72 16.8 (2.5) — -8.9% 2 SOG
PHI @ NJD 6:00 PM CT 1.5 -120 -125 49.5% 50.4% 1.76 17.8 (2.8) — -7.6% 1 SOG
NJD vs PHI 6:00 PM CT 1.5 -115 -135 48.2% 49.7% 1.77 14.5 (1.7) — -7.1% 1 SOG
NJD vs PHI 6:00 PM CT 3.5 -105 -130 47.5% 47.0% 3.54 22.2 (3.4) — -8.2% 5 SOG
NJD vs PHI 6:00 PM CT 1.5 +105 -140 45.5% 44.9% 1.53 13.9 (1.9) — -8.0% 1 SOG
PHI @ NJD 6:00 PM CT 1.5 +140 -190 38.9% 42.1% 1.57 17.1 (2.0) — +0.9% 1 SOG
PHI @ NJD 6:00 PM CT 1.5 -105 -145 46.4% 42.1% 1.29 13.3 (0.5) — -17.9% 0 SOG
PHI @ NJD 6:00 PM CT 1.5 -105 -155 45.7% 41.9% 1.30 21.5 (2.4) — -18.2% 1 SOG
PHI @ NJD 6:00 PM CT 2.5 +115 -155 43.4% 41.5% 2.26 16.9 (1.8) — -10.9% 2 SOG
NJD vs PHI 6:00 PM CT 2.5 +115 -180 42.0% 40.9% 2.31 20.6 (3.3) — -12.1% 2 SOG
NJD vs PHI 6:00 PM CT 2.5 +125 -170 41.4% 39.1% 2.16 20.7 (2.1) — -11.9% 6 SOG
NJD vs PHI 6:00 PM CT 2.5 +135 -180 39.8% 39.0% 2.21 19.0 (3.1) — -8.4% 6 SOG
NJD vs PHI 6:00 PM CT 1.5 +110 -150 44.3% 38.3% 1.16 20.3 (0.3) UNDER lean +2.8% W 0 SOG · +0.67u
PHI @ NJD 6:00 PM CT 2.5 +135 -185 39.6% 34.8% 1.91 16.2 (2.3) — -18.2% 1 SOG
NJD vs PHI 6:00 PM CT 2.5 +135 -185 39.6% 34.6% 1.88 15.9 (1.9) — -18.8% 4 SOG
NYR vs TBL 6:00 PM CT 1.5 -155 +120 57.2% 58.8% 2.09 18.9 (3.4) — -3.2% 3 SOG
NYR vs TBL 6:00 PM CT 1.5 -150 +115 56.3% 56.1% 1.91 18.2 (3.1) — -6.5% 1 SOG
TBL @ NYR 6:00 PM CT 2.5 -155 +120 57.2% 54.7% 2.83 20.0 (3.8) — -9.9% 1 SOG
TBL @ NYR 6:00 PM CT 2.5 -150 +115 56.3% 53.9% 2.77 21.9 (2.9) — -10.3% 3 SOG
NYR vs TBL 6:00 PM CT 1.5 -120 -110 51.0% 50.7% 1.70 23.2 (3.6) — -7.1% 0 SOG
TBL @ NYR 6:00 PM CT 2.5 -135 +100 53.5% 49.0% 2.43 19.5 (3.7) UNDER lean +2.1% L 3 SOG · -1.00u
NYR vs TBL 6:00 PM CT 1.5 +100 -130 46.9% 48.0% 1.70 15.6 (1.2) — -4.1% 3 SOG
TBL @ NYR 6:00 PM CT 1.5 -105 -125 48.0% 47.1% 1.57 17.9 (0.4) — -8.0% 0 SOG
TBL @ NYR 6:00 PM CT 1.5 +100 -130 46.9% 46.8% 1.59 18.7 (0.7) — -6.4% 3 SOG
NYR vs TBL 6:00 PM CT 2.5 -105 -125 48.0% 46.1% 2.46 16.7 (3.5) — -10.0% 5 SOG
NYR vs TBL 6:00 PM CT 1.5 -130 -155 48.2% 45.9% 1.46 13.3 (1.3) — -18.8% 1 SOG
NYR vs TBL 6:00 PM CT 2.5 +105 -145 45.2% 44.2% 2.44 20.6 (3.6) — -9.3% 3 SOG
NYR vs TBL 6:00 PM CT 1.5 +115 -150 43.7% 44.1% 1.55 15.0 (1.4) — -5.2% 1 SOG
TBL @ NYR 6:00 PM CT 1.5 +105 -140 45.5% 40.3% 1.21 16.3 (1.5) UNDER lean +2.4% L 2 SOG · -1.00u
TBL @ NYR 6:00 PM CT 2.5 +120 -180 41.4% 36.6% 1.96 24.3 (2.2) — -19.4% 4 SOG
TBL @ NYR 6:00 PM CT 2.5 +115 -155 43.4% 35.8% 1.82 16.9 (3.5) UNDER best +5.7% W 1 SOG · +0.65u
BUF @ CBJ 6:00 PM CT 1.5 -175 +130 59.4% 58.0% 1.92 18.0 (1.9) — -8.9% 1 SOG
CBJ vs BUF 6:00 PM CT 1.5 -180 +135 60.2% 55.2% 1.68 14.7 (1.0) UNDER best +5.2% W 0 SOG · +1.35u
CBJ vs BUF 6:00 PM CT 1.5 -165 +125 58.4% 54.4% 1.67 17.8 (3.1) UNDER lean +2.7% L 4 SOG · -1.00u
CBJ vs BUF 6:00 PM CT 1.5 -125 -105 52.0% 52.4% 1.82 19.0 (3.3) — -5.7% 0 SOG
BUF @ CBJ 6:00 PM CT 1.5 -125 -110 51.5% 49.6% 1.64 17.2 (2.3) — -10.7% 1 SOG
CBJ vs BUF 6:00 PM CT 2.5 -125 -110 51.5% 47.6% 2.46 19.7 (3.2) — -14.4% 2 SOG
CBJ vs BUF 6:00 PM CT 1.5 -130 -120 50.9% 47.4% 1.50 14.1 (1.4) — -16.1% 0 SOG
BUF @ CBJ 6:00 PM CT 2.5 -160 -110 54.0% 47.2% 2.27 24.4 (3.1) — -23.3% 4 SOG
CBJ vs BUF 6:00 PM CT 1.5 -155 +120 57.2% 46.8% 1.22 11.7 (1.6) UNDER best +17.0% W 1 SOG · +1.20u
CBJ vs BUF 6:00 PM CT 1.5 +100 -135 46.5% 46.8% 1.61 15.6 (1.6) — -6.5% 1 SOG
CBJ vs BUF 6:00 PM CT 3.5 +100 -135 46.5% 45.1% 3.39 27.8 (3.8) — -9.8% 3 SOG
BUF @ CBJ 6:00 PM CT 2.5 -135 +100 53.5% 43.5% 2.00 15.8 (2.7) UNDER best +13.0% L 4 SOG · -1.00u
BUF @ CBJ 6:00 PM CT 1.5 -105 -125 48.0% 43.2% 1.33 12.5 (0.1) UNDER lean +2.2% L 2 SOG · -1.00u
CBJ vs BUF 6:00 PM CT 1.5 +120 -155 42.8% 38.8% 1.23 12.4 (0.2) — -14.6% 3 SOG
BUF @ CBJ 6:00 PM CT 3.5 +100 -160 44.8% 38.7% 2.84 19.2 (3.0) — -22.5% 4 SOG
CBJ vs BUF 6:00 PM CT 1.5 +105 -140 45.5% 38.4% 1.13 18.9 (1.0) UNDER best +5.6% L 2 SOG · -1.00u
BUF @ CBJ 6:00 PM CT 1.5 +105 -140 45.5% 36.5% 1.01 12.4 (1.5) UNDER best +8.9% L 3 SOG · -1.00u
BUF @ CBJ 6:00 PM CT 2.5 +120 -160 42.5% 36.3% 1.87 16.0 (2.1) UNDER lean +3.5% L 3 SOG · -1.00u
BUF @ CBJ 6:00 PM CT 1.5 +180 -240 33.6% 34.1% 1.21 18.8 (0.4) — -4.6% 1 SOG
NSH vs MIN 7:00 PM CT 1.5 -155 +115 56.7% 57.9% 2.04 21.1 (3.3) — -4.7% 4 SOG
NSH vs MIN 7:00 PM CT 2.5 -180 +135 60.2% 57.0% 2.86 19.4 (3.4) — -11.4% 2 SOG
NSH vs MIN 7:00 PM CT 1.5 -130 +100 53.1% 56.1% 2.08 17.1 (3.1) — -0.8% 0 SOG
NSH vs MIN 7:00 PM CT 2.5 -125 -105 52.0% 48.2% 2.45 24.6 (3.4) — -13.2% 3 SOG
MIN @ NSH 7:00 PM CT 1.5 -165 +125 58.4% 47.4% 1.22 12.5 (1.2) UNDER best +18.3% W 0 SOG · +1.25u
NSH vs MIN 7:00 PM CT 1.5 -140 +105 54.5% 46.7% 1.30 12.8 (1.4) UNDER best +9.3% W 0 SOG · +1.05u
NSH vs MIN 7:00 PM CT 2.5 -115 -115 50.0% 46.4% 2.41 19.3 (3.5) — -13.3% 1 SOG
MIN @ NSH 7:00 PM CT 2.5 +105 -145 45.2% 45.9% 2.60 19.4 (3.2) — -6.0% 3 SOG
NSH vs MIN 7:00 PM CT 1.5 -130 -105 52.5% 45.8% 1.33 10.1 (0.4) UNDER best +5.9% L 2 SOG · -1.00u
MIN @ NSH 7:00 PM CT 2.5 -105 -125 48.0% 44.9% 2.33 29.2 (3.6) — -12.3% 5 SOG
MIN @ NSH 7:00 PM CT 2.5 +140 -185 39.1% 39.5% 2.32 18.2 (1.9) — -5.2% 2 SOG
MIN @ NSH 7:00 PM CT 3.5 +125 -165 41.7% 39.1% 3.04 21.8 (3.5) — -12.1% 5 SOG
MIN @ NSH 7:00 PM CT 3.5 +115 -150 43.7% 37.3% 2.74 21.9 (3.6) UNDER lean +4.5% W 3 SOG · +0.67u
CGY vs SEA 8:00 PM CT 1.5 -190 +140 61.1% 60.7% 2.05 18.2 (1.2) — -7.4% 1 SOG
SEA @ CGY 8:00 PM CT 1.5 -190 +140 61.1% 58.2% 1.88 15.8 (2.8) — -11.2% 4 SOG
SEA @ CGY 8:00 PM CT 1.5 -165 +125 58.4% 56.6% 1.87 17.7 (2.6) — -9.1% 4 SOG
CGY vs SEA 8:00 PM CT 1.5 -160 +120 57.5% 54.9% 1.77 17.3 (1.1) — -10.7% 1 SOG
SEA @ CGY 8:00 PM CT 1.5 -165 +125 58.4% 54.7% 1.73 18.4 (2.7) — -12.2% 1 SOG
CGY vs SEA 8:00 PM CT 1.5 -155 +115 56.7% 51.2% 1.52 14.6 (1.2) UNDER lean +4.9% W 1 SOG · +1.15u
CGY vs SEA 8:00 PM CT 1.5 -125 -105 52.0% 49.1% 1.58 20.9 (3.0) — -11.7% 1 SOG
CGY vs SEA 8:00 PM CT 1.5 -125 -105 52.0% 48.4% 1.51 14.2 (1.7) — -13.0% 1 SOG
SEA @ CGY 8:00 PM CT 2.5 -140 -105 53.3% 47.6% 2.34 22.2 (2.2) UNDER lean +2.3% L 4 SOG · -1.00u
CGY vs SEA 8:00 PM CT 2.5 -125 -125 50.0% 46.6% 2.43 17.7 (2.9) — -16.1% 1 SOG
SEA @ CGY 8:00 PM CT 2.5 -140 -120 51.7% 46.0% 2.26 16.8 (1.6) — -21.1% 3 SOG
CGY vs SEA 8:00 PM CT 1.5 -120 -110 51.0% 45.5% 1.37 20.5 (1.9) UNDER lean +4.1% L 4 SOG · -1.00u
SEA @ CGY 8:00 PM CT 1.5 -115 -115 50.0% 42.6% 1.22 20.5 (0.2) UNDER best +7.3% W 1 SOG · +0.87u
SEA @ CGY 8:00 PM CT 1.5 +100 -130 46.9% 42.6% 1.32 13.2 (0.4) — -14.9% 3 SOG
CGY vs SEA 8:00 PM CT 2.5 -110 -120 49.0% 42.1% 2.07 17.6 (2.8) UNDER best +6.1% W 0 SOG · +0.83u
SEA @ CGY 8:00 PM CT 2.5 -105 -145 46.4% 37.7% 1.84 20.2 (2.6) UNDER best +5.4% W 2 SOG · +0.69u
CGY vs SEA 8:00 PM CT 2.5 +110 -145 44.6% 36.7% 1.85 17.0 (2.9) UNDER best +6.9% W 2 SOG · +0.69u
UTA vs CHI 8:30 PM CT 1.5 -165 +120 57.8% 57.5% 1.95 14.8 (1.8) — -7.7% 4 SOG
CHI @ UTA 8:30 PM CT 1.5 -150 +115 56.3% 56.0% 1.91 18.0 (3.0) — -6.7% 2 SOG
UTA vs CHI 8:30 PM CT 1.5 -170 +125 58.6% 55.4% 1.79 19.2 (3.5) — -12.1% 1 SOG
UTA vs CHI 8:30 PM CT 1.5 -190 +145 61.6% 55.4% 1.66 20.9 (1.5) UNDER best +9.4% L 2 SOG · -1.00u
CHI @ UTA 8:30 PM CT 1.5 -135 -130 50.4% 53.1% 1.95 17.5 (2.5) — -7.5% 0 SOG
UTA vs CHI 8:30 PM CT 2.5 -150 -105 54.0% 52.6% 2.78 19.8 (3.5) — -12.3% 4 SOG
CHI @ UTA 8:30 PM CT 1.5 -120 -125 49.5% 52.4% 1.91 16.9 (2.9) — -3.9% 0 SOG
CHI @ UTA 8:30 PM CT 1.5 -110 -120 49.0% 46.1% 1.49 23.5 (1.8) — -12.1% 0 SOG
UTA vs CHI 8:30 PM CT 2.5 -120 -135 48.7% 45.7% 2.36 20.2 (3.4) — -16.3% 2 SOG
CHI @ UTA 8:30 PM CT 2.5 -120 -110 51.0% 45.5% 2.25 17.1 (2.9) UNDER lean +4.1% L 3 SOG · -1.00u
UTA vs CHI 8:30 PM CT 1.5 +110 -150 44.3% 43.7% 1.47 12.5 (2.2) — -8.2% 4 SOG
CHI @ UTA 8:30 PM CT 2.5 +120 -160 42.5% 43.2% 2.47 18.7 (2.9) — -5.1% 0 SOG
UTA vs CHI 8:30 PM CT 2.5 +130 -175 40.6% 37.9% 2.09 18.6 (3.2) — -12.9% 0 SOG
UTA vs CHI 8:30 PM CT 1.5 -105 -160 45.4% 36.9% 1.03 19.0 (0.3) UNDER lean +2.5% W 0 SOG · +0.63u
UTA vs CHI 8:30 PM CT 3.5 +140 -170 39.8% 36.0% 2.82 18.3 (3.4) — -13.5% 5 SOG
UTA vs CHI 8:30 PM CT 2.5 +115 -150 43.7% 35.2% 1.76 24.2 (3.3) UNDER best +8.1% L 3 SOG · -1.00u
VAN vs EDM 9:00 PM CT 1.5 -190 +145 61.6% 57.7% 1.81 18.6 (3.5) UNDER lean +3.7% L 2 SOG · -1.00u
VAN vs EDM 9:00 PM CT 1.5 -110 -120 49.0% 49.2% 1.69 15.6 (1.1) — -6.1% 0 SOG
EDM @ VAN 9:00 PM CT 1.5 -115 -115 50.0% 48.4% 1.60 16.7 (0.6) — -9.6% 1 SOG
VAN vs EDM 9:00 PM CT 2.5 -140 +105 54.5% 47.2% 2.25 17.2 (3.3) UNDER best +8.2% L 4 SOG · -1.00u
EDM @ VAN 9:00 PM CT 1.5 -145 +110 55.4% 47.0% 1.31 19.4 (0.5) UNDER best +11.2% W 0 SOG · +1.10u
EDM @ VAN 9:00 PM CT 2.5 -120 -115 50.5% 46.4% 2.39 25.1 (3.9) — -15.0% 4 SOG
VAN vs EDM 9:00 PM CT 1.5 +115 -150 43.7% 43.3% 1.49 14.5 (1.3) — -7.0% 1 SOG
EDM @ VAN 9:00 PM CT 3.5 +105 -140 45.5% 42.1% 3.10 23.0 (3.7) — -13.8% 3 SOG
VAN vs EDM 9:00 PM CT 1.5 +100 -140 46.2% 41.0% 1.24 12.5 (1.9) — -18.0% 1 SOG
VAN vs EDM 9:00 PM CT 2.5 +105 -140 45.5% 40.7% 2.11 19.3 (3.6) — -16.6% 2 SOG
VAN vs EDM 9:00 PM CT 1.5 +110 -145 44.6% 38.1% 1.12 21.5 (1.7) UNDER lean +4.6% L 3 SOG · -1.00u
EDM @ VAN 9:00 PM CT 2.5 +100 -130 46.9% 35.9% 1.71 16.4 (1.5) UNDER best +13.4% L 4 SOG · -1.00u
EDM @ VAN 9:00 PM CT 3.5 +120 -180 41.4% 33.5% 2.50 21.0 (3.5) UNDER lean +3.4% L 5 SOG · -1.00u
VAN vs EDM 9:00 PM CT 2.5 +140 -225 37.6% 32.8% 1.79 25.9 (3.2) — -21.4% 1 SOG
FLA @ SJS 9:00 PM CT 2.5 -175 +130 59.4% 57.3% 2.99 17.0 (2.7) — -9.9% 4 SOG
SJS vs FLA 9:00 PM CT 1.5 -150 +115 56.3% 57.0% 1.99 17.4 (3.3) — -5.1% 4 SOG
SJS vs FLA 9:00 PM CT 1.5 -140 +105 54.5% 55.0% 1.89 22.3 (0.3) — -5.8% 0 SOG
SJS vs FLA 9:00 PM CT 1.5 -150 +100 54.6% 54.9% 1.94 13.9 (3.1) — -8.5% 1 SOG
FLA @ SJS 9:00 PM CT 1.5 -160 +105 55.8% 51.2% 1.59 24.3 (2.9) — -16.7% 2 SOG
SJS vs FLA 9:00 PM CT 1.5 +100 -130 46.9% 50.6% 1.90 24.2 (0.4) — +1.2% 2 SOG
FLA @ SJS 9:00 PM CT 2.5 -145 +110 55.4% 49.0% 2.36 17.5 (3.4) UNDER best +7.1% W 2 SOG · +1.10u
SJS vs FLA 9:00 PM CT 1.5 -130 -135 49.6% 47.4% 1.54 15.1 (1.6) — -16.2% 0 SOG
SJS vs FLA 9:00 PM CT 1.5 -120 -135 48.7% 47.3% 1.57 18.7 (3.0) — -13.3% 3 SOG
FLA @ SJS 9:00 PM CT 2.5 -135 -115 51.8% 46.0% 2.28 20.6 (3.1) — -20.0% 2 SOG
FLA @ SJS 9:00 PM CT 2.5 +105 -140 45.5% 45.0% 2.51 18.5 (3.1) — -7.7% 1 SOG
FLA @ SJS 9:00 PM CT 2.5 -105 -150 46.1% 43.2% 2.32 18.4 (2.9) — -15.7% 0 SOG
SJS vs FLA 9:00 PM CT 1.5 +110 -145 44.6% 42.4% 1.37 20.5 (2.7) — -11.0% 1 SOG
FLA @ SJS 9:00 PM CT 1.5 +105 -140 45.5% 41.9% 1.31 21.2 (2.0) — -14.2% 0 SOG
SJS vs FLA 9:00 PM CT 2.5 +115 -150 43.7% 41.5% 2.28 18.0 (3.3) — -10.8% 3 SOG
SJS vs FLA 9:00 PM CT 3.5 +115 -150 43.7% 41.3% 3.15 20.6 (3.5) — -11.3% 7 SOG
FLA @ SJS 9:00 PM CT 2.5 +115 -155 43.4% 37.4% 1.94 19.4 (2.7) UNDER lean +3.0% W 1 SOG · +0.65u

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