← 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
150
Best bets
3
Leans
3
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Tim Stützle
OTT vs CBJ · 6:30 PM CT · F
UNDER 2.5
Price+135
Model45.5%
Book39.8%
EV+6.9%
Fair+120
Stake1.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.60 SOG · 20.3 min (3.1 PP) W 1 SOG · +1.35u
Evander Kane
VAN @ SEA · 9:00 PM CT · F
UNDER 2.5
Price+120
Model48.5%
Book42.8%
EV+6.7%
Fair+106
Stake1.4%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.49 SOG · 16.7 min (1.6 PP) W 2 SOG · +1.20u
Jakob Chychrun
WSH @ FLA · 6:00 PM CT · D
UNDER 2.5
Price+130
Model45.9%
Book40.9%
EV+5.5%
Fair+118
Stake1.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.62 SOG · 22.3 min (3.0 PP) L 4 SOG · -1.00u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
FLA vs WSH 6:00 PM CT 1.5 -195 +145 61.8% 61.3% 2.09 15.5 (2.6) — -7.2% 3 SOG
FLA vs WSH 6:00 PM CT 1.5 -175 +130 59.4% 61.1% 2.21 18.0 (2.3) — -4.0% 3 SOG
FLA vs WSH 6:00 PM CT 1.5 -170 +125 58.6% 59.7% 2.13 16.2 (1.8) — -5.2% 1 SOG
FLA vs WSH 6:00 PM CT 1.5 -175 +130 59.4% 58.9% 2.00 24.0 (3.6) — -7.5% 1 SOG
WSH @ FLA 6:00 PM CT 1.5 -170 +125 58.6% 58.4% 2.01 17.9 (0.5) — -7.2% 3 SOG
WSH @ FLA 6:00 PM CT 1.5 -150 +115 56.3% 58.1% 2.08 19.9 (2.9) — -3.2% 6 SOG
WSH @ FLA 6:00 PM CT 1.5 -190 +140 61.1% 58.1% 1.88 14.1 (2.2) — -11.4% 1 SOG
FLA vs WSH 6:00 PM CT 2.5 -135 +100 53.5% 54.2% 2.97 18.9 (3.2) — -5.6% 3 SOG
WSH @ FLA 6:00 PM CT 2.5 -170 +130 59.2% 54.2% 2.62 22.3 (3.0) UNDER best +5.5% L 4 SOG · -1.00u
WSH @ FLA 6:00 PM CT 1.5 -110 -120 49.0% 53.0% 1.98 15.3 (1.1) — +1.1% 0 SOG
WSH @ FLA 6:00 PM CT 2.5 -125 -105 52.0% 52.0% 2.83 17.8 (4.3) — -6.5% 2 SOG
FLA vs WSH 6:00 PM CT 2.5 -105 -125 48.0% 48.4% 2.68 18.9 (3.4) — -5.6% 2 SOG
FLA vs WSH 6:00 PM CT 2.5 -105 -130 47.5% 47.2% 2.58 20.2 (3.8) — -7.9% 5 SOG
FLA vs WSH 6:00 PM CT 2.5 +120 -160 42.5% 44.1% 2.55 17.9 (2.9) — -2.9% 3 SOG
CAR vs NYR 6:00 PM CT 1.5 -190 +140 61.1% 61.6% 2.19 17.9 (3.4) — -6.0% 5 SOG
CAR vs NYR 6:00 PM CT 1.5 -190 +140 61.1% 60.7% 2.09 15.8 (1.9) — -7.4% 2 SOG
NYR @ CAR 6:00 PM CT 1.5 -160 +120 57.5% 59.5% 2.13 21.5 (2.8) — -3.4% 2 SOG
NYR @ CAR 6:00 PM CT 2.5 -140 -110 52.7% 51.4% 2.70 20.8 (3.1) — -11.9% 1 SOG
CAR vs NYR 6:00 PM CT 1.5 -115 -115 50.0% 51.0% 1.78 14.3 (2.0) — -4.7% 0 SOG
NYR @ CAR 6:00 PM CT 1.5 -120 -110 51.0% 50.9% 1.72 17.4 (2.3) — -6.8% 2 SOG
CAR vs NYR 6:00 PM CT 2.5 -125 -105 52.0% 48.9% 2.51 16.9 (3.3) — -11.9% 3 SOG
NYR @ CAR 6:00 PM CT 1.5 -105 -130 47.5% 48.6% 1.69 17.1 (1.6) — -5.1% 2 SOG
CAR vs NYR 6:00 PM CT 2.5 -105 -125 48.0% 47.5% 2.59 16.9 (2.7) — -7.4% 2 SOG
CAR vs NYR 6:00 PM CT 2.5 +115 -150 43.7% 43.2% 2.40 19.3 (3.4) — -7.2% 2 SOG
NYR @ CAR 6:00 PM CT 2.5 +145 -195 38.2% 38.7% 2.29 20.9 (2.9) — -5.2% 1 SOG
CAR vs NYR 6:00 PM CT 2.5 +125 -170 41.4% 38.1% 2.05 21.8 (0.9) — -14.3% 3 SOG
OTT vs CBJ 6:30 PM CT 1.5 -190 +140 61.1% 64.7% 2.47 18.0 (3.0) — -1.3% 3 SOG
CBJ @ OTT 6:30 PM CT 1.5 -190 +140 61.1% 62.1% 2.26 17.3 (1.2) — -5.3% 2 SOG
OTT vs CBJ 6:30 PM CT 1.5 -160 +120 57.5% 59.6% 2.15 16.5 (1.7) — -3.2% 4 SOG
CBJ @ OTT 6:30 PM CT 1.5 -150 +115 56.3% 56.3% 1.94 17.6 (1.4) — -6.1% 1 SOG
OTT vs CBJ 6:30 PM CT 3.5 -165 +120 57.8% 56.0% 3.96 17.9 (3.2) — -10.1% 2 SOG
OTT vs CBJ 6:30 PM CT 1.5 -140 +105 54.5% 55.7% 2.00 22.2 (2.2) — -4.5% 3 SOG
OTT vs CBJ 6:30 PM CT 2.5 -180 +135 60.2% 54.5% 2.60 20.3 (3.1) UNDER best +6.9% W 1 SOG · +1.35u
CBJ @ OTT 6:30 PM CT 1.5 -110 -120 49.0% 51.6% 1.90 15.2 (2.4) — -1.5% 1 SOG
CBJ @ OTT 6:30 PM CT 2.5 -125 -105 52.0% 50.5% 2.65 19.7 (2.5) — -9.2% 3 SOG
CBJ @ OTT 6:30 PM CT 2.5 -110 -120 49.0% 47.2% 2.54 18.5 (2.6) — -9.9% 5 SOG
OTT vs CBJ 6:30 PM CT 2.5 +105 -140 45.5% 45.7% 2.56 18.9 (3.0) — -6.3% 1 SOG
CBJ @ OTT 6:30 PM CT 1.5 +110 -145 44.6% 45.3% 1.59 25.9 (1.2) — -4.8% 0 SOG
OTT vs CBJ 6:30 PM CT 2.5 +130 -170 40.9% 39.8% 2.25 24.9 (3.3) — -8.4% 1 SOG
OTT vs CBJ 6:30 PM CT 2.5 +150 -200 37.5% 34.9% 2.00 17.0 (1.7) — -12.8% 2 SOG
WPG vs EDM 6:30 PM CT 1.5 -190 +140 61.1% 64.1% 2.46 22.3 (3.2) — -2.2% 2 SOG
WPG vs EDM 6:30 PM CT 2.5 -180 +135 60.2% 61.5% 3.37 21.9 (3.1) — -4.3% 9 SOG
WPG vs EDM 6:30 PM CT 1.5 -150 +115 56.3% 60.1% 2.27 19.6 (3.2) — +0.2% 3 SOG
EDM @ WPG 6:30 PM CT 2.5 -180 +135 60.2% 57.9% 2.95 20.1 (3.8) — -10.0% 2 SOG
WPG vs EDM 6:30 PM CT 1.5 -130 +100 53.1% 57.4% 2.20 24.8 (3.3) — +1.6% 2 SOG
EDM @ WPG 6:30 PM CT 1.5 -140 +105 54.5% 57.1% 2.09 19.4 (3.8) — -2.1% 0 SOG
EDM @ WPG 6:30 PM CT 1.5 -145 +110 55.4% 54.7% 1.84 21.3 (0.6) — -7.6% 1 SOG
WPG vs EDM 6:30 PM CT 1.5 -155 +105 55.5% 53.6% 1.75 22.0 (1.7) — -11.8% 1 SOG
EDM @ WPG 6:30 PM CT 2.5 -155 +120 57.2% 53.1% 2.67 22.0 (4.0) UNDER lean +3.2% W 1 SOG · +1.20u
EDM @ WPG 6:30 PM CT 2.5 +105 -140 45.5% 46.6% 2.60 25.3 (4.0) — -4.5% 4 SOG
EDM @ WPG 6:30 PM CT 3.5 +130 -175 40.6% 40.4% 3.22 22.7 (4.0) — -7.0% 1 SOG
BUF @ STL 7:00 PM CT 1.5 -185 +140 60.9% 64.3% 2.40 18.1 (2.6) — -1.0% 3 SOG
BUF @ STL 7:00 PM CT 2.5 -160 +120 57.5% 60.0% 3.34 20.5 (2.9) — -2.5% 3 SOG
STL vs BUF 7:00 PM CT 1.5 -160 +120 57.5% 59.0% 2.12 19.0 (2.5) — -4.1% 1 SOG
STL vs BUF 7:00 PM CT 1.5 -120 -110 51.0% 53.4% 1.92 19.5 (2.7) — -2.0% 1 SOG
STL vs BUF 7:00 PM CT 1.5 -130 +100 53.1% 53.2% 1.82 22.7 (2.1) — -5.9% 4 SOG
STL vs BUF 7:00 PM CT 1.5 -130 +100 53.1% 52.9% 1.82 15.4 (2.3) — -6.3% 3 SOG
BUF @ STL 7:00 PM CT 1.5 -115 -115 50.0% 52.9% 1.96 19.2 (2.5) — -1.0% 0 SOG
BUF @ STL 7:00 PM CT 1.5 -105 -130 47.5% 50.4% 1.81 15.9 (1.7) — -1.6% 4 SOG
BUF @ STL 7:00 PM CT 1.5 -105 -125 48.0% 49.5% 1.74 16.9 (2.4) — -3.3% 5 SOG
STL vs BUF 7:00 PM CT 1.5 +105 -140 45.5% 47.0% 1.68 16.2 (2.0) — -3.6% 1 SOG
BUF @ STL 7:00 PM CT 2.5 +120 -155 42.8% 46.4% 2.76 26.9 (2.9) OVER lean +2.1% W 5 SOG · +1.20u
STL vs BUF 7:00 PM CT 2.5 -110 -120 49.0% 45.6% 2.37 14.7 (2.1) — -13.0% 0 SOG
BUF @ STL 7:00 PM CT 2.5 +120 -160 42.5% 44.4% 2.59 20.8 (1.6) — -2.3% 2 SOG
COL vs LAK 8:00 PM CT 3.5 -165 +125 58.4% 58.9% 4.29 23.0 (4.0) — -5.4% 2 SOG
LAK @ COL 8:00 PM CT 1.5 -145 +105 54.8% 58.4% 2.19 19.8 (2.1) — -1.3% 2 SOG
COL vs LAK 8:00 PM CT 1.5 -155 +115 56.7% 53.0% 1.67 18.8 (0.7) — -12.8% 2 SOG
LAK @ COL 8:00 PM CT 1.5 -110 -120 49.0% 51.3% 1.82 15.5 (0.7) — -2.0% 1 SOG
COL vs LAK 8:00 PM CT 2.5 -125 -105 52.0% 51.3% 2.76 24.2 (4.1) — -7.6% 4 SOG
LAK @ COL 8:00 PM CT 1.5 -105 -125 48.0% 50.4% 1.83 14.6 (0.3) — -1.7% 3 SOG
LAK @ COL 8:00 PM CT 1.5 -105 -125 48.0% 49.3% 1.72 18.4 (1.9) — -3.8% 0 SOG
LAK @ COL 8:00 PM CT 2.5 -105 -125 48.0% 48.8% 2.74 19.1 (2.9) — -4.7% 5 SOG
COL vs LAK 8:00 PM CT 1.5 -105 -125 48.0% 48.0% 1.62 21.8 (1.5) — -6.3% 0 SOG
COL vs LAK 8:00 PM CT 2.5 +100 -130 46.9% 47.4% 2.62 19.1 (3.3) — -5.2% 1 SOG
LAK @ COL 8:00 PM CT 2.5 +105 -140 45.5% 47.0% 2.67 18.1 (2.9) — -3.7% 3 SOG
COL vs LAK 8:00 PM CT 2.5 +120 -155 42.8% 43.6% 2.46 18.3 (2.1) — -4.0% 2 SOG
COL vs LAK 8:00 PM CT 2.5 +130 -175 40.6% 42.3% 2.49 19.9 (3.8) — -2.8% 4 SOG
COL vs LAK 8:00 PM CT 2.5 +145 -195 38.2% 40.2% 2.39 18.9 (2.2) — -1.6% 3 SOG
LAK @ COL 8:00 PM CT 2.5 +140 -185 39.1% 39.9% 2.34 17.0 (1.6) — -4.4% 3 SOG
COL vs LAK 8:00 PM CT 2.5 +150 -200 37.5% 38.1% 2.27 18.9 (3.0) — -4.7% 1 SOG
UTA vs NSH 8:00 PM CT 1.5 -195 +145 61.8% 65.4% 2.49 17.9 (2.9) — -1.1% 3 SOG
NSH @ UTA 8:00 PM CT 1.5 -195 +145 61.8% 63.8% 2.34 17.1 (2.5) — -3.6% 3 SOG
UTA vs NSH 8:00 PM CT 1.5 -185 +135 60.4% 57.9% 1.88 13.5 (1.6) — -10.9% 2 SOG
UTA vs NSH 8:00 PM CT 1.5 -145 +110 55.4% 56.6% 2.00 23.6 (3.1) — -4.4% 3 SOG
NSH @ UTA 8:00 PM CT 2.5 -145 +110 55.4% 56.2% 3.03 18.5 (2.8) — -5.0% 1 SOG
NSH @ UTA 8:00 PM CT 1.5 -130 +100 53.1% 53.9% 1.90 15.5 (2.0) — -4.7% 2 SOG
UTA vs NSH 8:00 PM CT 1.5 -135 +100 53.5% 53.2% 1.79 16.1 (1.6) — -7.5% 2 SOG
UTA vs NSH 8:00 PM CT 1.5 -115 -115 50.0% 52.1% 1.85 15.6 (2.0) — -2.6% 3 SOG
UTA vs NSH 8:00 PM CT 2.5 -110 -120 49.0% 51.6% 2.92 19.5 (3.3) — -1.6% 1 SOG
NSH @ UTA 8:00 PM CT 1.5 +100 -130 46.9% 51.4% 1.95 19.5 (2.8) OVER lean +2.8% L 1 SOG · -1.00u
UTA vs NSH 8:00 PM CT 1.5 +105 -140 45.5% 46.8% 1.66 21.0 (2.0) — -4.1% 1 SOG
NSH @ UTA 8:00 PM CT 2.5 +115 -155 43.4% 44.3% 2.53 23.2 (3.1) — -4.8% 3 SOG
UTA vs NSH 8:00 PM CT 2.5 +135 -180 39.8% 40.5% 2.36 19.4 (3.2) — -4.9% 2 SOG
NSH @ UTA 8:00 PM CT 2.5 +135 -185 39.6% 38.6% 2.19 17.2 (3.0) — -9.2% 3 SOG
UTA vs NSH 8:00 PM CT 3.5 +125 -165 41.7% 38.4% 2.94 17.6 (3.3) — -13.6% 6 SOG
CGY vs BOS 8:00 PM CT 1.5 -200 +150 62.5% 63.1% 2.26 16.9 (1.8) — -5.3% 4 SOG
CGY vs BOS 8:00 PM CT 2.5 -180 +135 60.2% 60.6% 3.29 19.3 (3.5) — -5.7% 2 SOG
CGY vs BOS 8:00 PM CT 1.5 -190 +140 61.1% 59.6% 1.98 17.4 (2.3) — -9.0% 1 SOG
BOS @ CGY 8:00 PM CT 1.5 -160 +120 57.5% 57.8% 2.03 18.4 (2.8) — -6.1% 1 SOG
CGY vs BOS 8:00 PM CT 1.5 -120 -110 51.0% 54.3% 1.99 16.0 (0.9) — -0.4% 2 SOG
CGY vs BOS 8:00 PM CT 1.5 -115 -115 50.0% 53.7% 2.01 18.7 (3.5) — +0.5% 1 SOG
CGY vs BOS 8:00 PM CT 1.5 -105 -125 48.0% 52.0% 1.96 15.3 (3.2) — +1.4% 3 SOG
BOS @ CGY 8:00 PM CT 1.5 -105 -125 48.0% 50.1% 1.79 23.1 (2.8) — -2.3% 2 SOG
BOS @ CGY 8:00 PM CT 3.5 +125 -165 41.7% 44.1% 3.57 20.6 (3.2) — -0.7% 4 SOG
CGY vs BOS 8:00 PM CT 2.5 +140 -185 39.1% 40.4% 2.37 24.4 (3.2) — -3.1% 1 SOG
CGY vs BOS 8:00 PM CT 2.5 +150 -200 37.5% 39.7% 2.42 16.0 (3.0) — -0.7% 0 SOG
BOS @ CGY 8:00 PM CT 2.5 +140 -190 38.9% 39.3% 2.31 18.1 (3.0) — -5.6% 1 SOG
CGY vs BOS 8:00 PM CT 2.5 +140 -185 39.1% 39.2% 2.24 17.8 (1.0) — -6.0% 2 SOG
BOS @ CGY 8:00 PM CT 2.5 +145 -195 38.2% 38.9% 2.31 14.4 (2.4) — -4.6% 4 SOG
CGY vs BOS 8:00 PM CT 2.5 +150 -200 37.5% 37.0% 2.18 22.1 (2.0) — -7.4% 2 SOG
VGK vs MIN 9:00 PM CT 1.5 -185 +140 60.9% 61.6% 2.19 19.1 (3.4) — -5.1% 1 SOG
MIN @ VGK 9:00 PM CT 1.5 -150 +115 56.3% 57.2% 2.00 16.7 (1.5) — -4.7% 1 SOG
VGK vs MIN 9:00 PM CT 2.5 -160 +120 57.5% 56.6% 2.99 17.7 (3.2) — -8.0% 3 SOG
MIN @ VGK 9:00 PM CT 1.5 -150 +115 56.3% 54.4% 1.78 17.4 (2.5) — -9.4% 3 SOG
MIN @ VGK 9:00 PM CT 2.5 -150 +115 56.3% 53.4% 2.72 19.4 (2.7) — -11.0% 2 SOG
VGK vs MIN 9:00 PM CT 2.5 -135 +100 53.5% 52.3% 2.76 18.2 (3.4) — -8.9% 0 SOG
MIN @ VGK 9:00 PM CT 1.5 +105 -140 45.5% 47.7% 1.71 25.1 (1.4) — -2.3% 1 SOG
VGK vs MIN 9:00 PM CT 1.5 -105 -130 47.5% 47.0% 1.61 15.0 (0.9) — -8.3% 1 SOG
MIN @ VGK 9:00 PM CT 2.5 -110 -120 49.0% 46.8% 2.48 18.4 (2.5) — -10.7% 2 SOG
MIN @ VGK 9:00 PM CT 1.5 +125 -170 41.4% 44.1% 1.61 14.7 (1.7) — -0.8% 2 SOG
MIN @ VGK 9:00 PM CT 2.5 +115 -155 43.4% 43.6% 2.47 27.4 (3.0) — -6.2% 2 SOG
VGK vs MIN 9:00 PM CT 2.5 +110 -145 44.6% 42.2% 2.26 22.3 (2.1) — -11.4% 0 SOG
VGK vs MIN 9:00 PM CT 2.5 +130 -175 40.6% 42.1% 2.49 18.7 (3.4) — -3.1% 3 SOG
MIN @ VGK 9:00 PM CT 3.5 +130 -175 40.6% 38.4% 3.00 21.6 (2.7) — -11.7% 3 SOG
ANA vs SJS 9:00 PM CT 1.5 -165 +125 58.4% 60.8% 2.19 18.2 (3.4) — -2.4% 2 SOG
ANA vs SJS 9:00 PM CT 1.5 -165 +125 58.4% 59.4% 2.13 24.7 (3.6) — -4.6% 1 SOG
ANA vs SJS 9:00 PM CT 1.5 -160 +120 57.5% 59.2% 2.16 16.4 (2.2) — -3.8% 1 SOG
SJS @ ANA 9:00 PM CT 1.5 -160 +120 57.5% 57.1% 2.00 15.8 (1.6) — -7.3% 2 SOG
ANA vs SJS 9:00 PM CT 1.5 -130 +100 53.1% 51.8% 1.73 17.2 (1.7) — -8.3% 1 SOG
SJS @ ANA 9:00 PM CT 1.5 -130 +100 53.1% 51.1% 1.68 21.7 (3.1) — -9.5% 1 SOG
ANA vs SJS 9:00 PM CT 1.5 -125 -105 52.0% 51.0% 1.68 21.4 (0.7) — -8.3% 2 SOG
SJS @ ANA 9:00 PM CT 1.5 -105 -125 48.0% 49.2% 1.72 12.0 (1.7) — -3.9% 0 SOG
SJS @ ANA 9:00 PM CT 2.5 -105 -130 47.5% 46.1% 2.49 16.1 (3.0) — -10.1% 0 SOG
SJS @ ANA 9:00 PM CT 2.5 +105 -140 45.5% 45.8% 2.56 20.1 (3.3) — -6.2% 1 SOG
ANA vs SJS 9:00 PM CT 2.5 +115 -150 43.7% 45.1% 2.57 18.2 (3.4) — -3.0% 3 SOG
ANA vs SJS 9:00 PM CT 2.5 +125 -165 41.7% 42.5% 2.45 18.9 (3.4) — -4.3% 3 SOG
SJS @ ANA 9:00 PM CT 3.5 +110 -150 44.3% 42.0% 3.20 21.1 (3.7) — -11.8% 1 SOG
ANA vs SJS 9:00 PM CT 2.5 +145 -195 38.2% 39.8% 2.39 17.9 (3.5) — -2.4% 3 SOG
ANA vs SJS 9:00 PM CT 3.5 +120 -165 42.2% 39.5% 3.05 16.8 (2.5) — -13.1% 9 SOG
ANA vs SJS 9:00 PM CT 2.5 +135 -180 39.8% 39.3% 2.25 16.2 (2.2) — -7.8% 5 SOG
VAN @ SEA 9:00 PM CT 1.5 -195 +145 61.8% 63.3% 2.29 18.4 (3.5) — -4.3% 1 SOG
SEA vs VAN 9:00 PM CT 1.5 -190 +145 61.6% 63.3% 2.34 18.9 (3.1) — -3.5% 4 SOG
VAN @ SEA 9:00 PM CT 1.5 -195 +145 61.8% 62.9% 2.23 18.2 (2.8) — -4.8% 2 SOG
VAN @ SEA 9:00 PM CT 1.5 -195 +145 61.8% 61.6% 2.14 20.1 (3.3) — -6.8% 2 SOG
SEA vs VAN 9:00 PM CT 1.5 -165 +125 58.4% 60.1% 2.19 21.6 (3.1) — -3.5% 3 SOG
SEA vs VAN 9:00 PM CT 1.5 -165 +120 57.8% 57.5% 1.95 17.6 (2.4) — -7.7% 6 SOG
SEA vs VAN 9:00 PM CT 1.5 -145 +110 55.4% 57.0% 2.07 19.7 (3.1) — -3.6% 0 SOG
VAN @ SEA 9:00 PM CT 2.5 -155 +120 57.2% 51.5% 2.49 16.7 (1.6) UNDER best +6.7% W 2 SOG · +1.20u
SEA vs VAN 9:00 PM CT 2.5 +125 -165 41.7% 42.2% 2.43 17.5 (2.8) — -5.1% 3 SOG
VAN @ SEA 9:00 PM CT 2.5 +145 -190 38.4% 37.0% 2.13 16.9 (1.7) — -9.5% 4 SOG

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