← 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
141
Best bets
5
Leans
13
Updated
Oct 19, 6:03 AM CT
backtest · priced at close

Best Bets

Brad Marchand
FLA @ BOS · 6:30 PM CT · F
UNDER 2.5
Price+125
Model53.5%
Book41.7%
EV+20.4%
Fair-115
Stake4.1%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.13 SOG · 16.5 min (2.7 PP) W 1 SOG · +1.25u
Cutter Gauthier
ANA @ NSH · 7:00 PM CT · F
UNDER 2.5
Price+130
Model47.5%
Book40.6%
EV+9.3%
Fair+110
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.54 SOG · 17.2 min (1.3 PP) W 2 SOG · +1.30u
Ryan Leonard
WSH vs SEA · 6:00 PM CT · F
UNDER 1.5
Price+100
Model54.5%
Book46.9%
EV+9.0%
Fair-120
Stake2.3%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.34 SOG · 12.4 min (0.9 PP) L 3 SOG · -1.00u
Max Domi
TOR vs NJD · 6:00 PM CT · F
UNDER 1.5
Price+110
Model51.8%
Book44.6%
EV+8.7%
Fair-107
Stake2.0%
0
1
2
3
4
5
6
7
8
9
10+
Proj 1.41 SOG · 13.4 min (1.4 PP) W 1 SOG · +1.10u
Alex Ovechkin
WSH vs SEA · 6:00 PM CT · F
UNDER 3.5
Price-130
Model59.7%
Book53.1%
EV+5.6%
Fair-148
Stake1.8%
0
1
2
3
4
5
6
7
8
9
10+
Proj 2.95 SOG · 17.2 min (3.8 PP) W 1 SOG · +0.77u

Full Board

PlayerGameLineOverUnder BookModelProjTOI (PP) PickEVResult
NJD @ TOR 6:00 PM CT 1.5 -200 +145 62.0% 63.8% 2.28 18.3 (2.9) — -4.3% 2 SOG
TOR vs NJD 6:00 PM CT 1.5 -195 +145 61.8% 62.5% 2.20 20.2 (3.3) — -5.5% 3 SOG
TOR vs NJD 6:00 PM CT 1.5 -160 +120 57.5% 56.6% 1.89 14.2 (1.3) — -8.0% 1 SOG
NJD @ TOR 6:00 PM CT 2.5 -165 +120 57.8% 55.5% 2.86 18.7 (2.7) — -10.9% 1 SOG
NJD @ TOR 6:00 PM CT 1.5 -145 +110 55.4% 52.3% 1.71 21.7 (2.4) — -11.7% 2 SOG
NJD @ TOR 6:00 PM CT 1.5 -135 +100 53.5% 51.0% 1.68 18.4 (2.1) — -11.2% 4 SOG
TOR vs NJD 6:00 PM CT 1.5 -135 +100 53.5% 50.9% 1.67 21.5 (2.5) — -11.5% 1 SOG
TOR vs NJD 6:00 PM CT 2.5 -115 -115 50.0% 50.7% 2.75 19.6 (3.3) — -5.2% 1 SOG
TOR vs NJD 6:00 PM CT 3.5 -120 -110 51.0% 49.3% 3.61 21.5 (3.4) — -9.6% 3 SOG
TOR vs NJD 6:00 PM CT 1.5 -145 +110 55.4% 48.2% 1.41 13.4 (1.4) UNDER best +8.7% W 1 SOG · +1.10u
NJD @ TOR 6:00 PM CT 3.5 +100 -130 46.9% 45.7% 3.46 20.8 (3.0) — -8.5% 6 SOG
NJD @ TOR 6:00 PM CT 2.5 +110 -145 44.6% 43.6% 2.38 21.0 (2.3) — -8.5% 6 SOG
NJD @ TOR 6:00 PM CT 2.5 +130 -175 40.6% 40.3% 2.33 20.0 (3.0) — -7.4% 2 SOG
TOR vs NJD 6:00 PM CT 2.5 +135 -180 39.8% 39.5% 2.27 17.7 (3.1) — -7.3% 5 SOG
OTT vs EDM 6:00 PM CT 1.5 -195 +145 61.8% 60.3% 2.02 17.2 (3.1) — -8.8% 1 SOG
EDM @ OTT 6:00 PM CT 1.5 -180 +135 60.2% 59.3% 2.03 18.4 (3.5) — -7.8% 0 SOG
OTT vs EDM 6:00 PM CT 1.5 -140 +105 54.5% 54.6% 1.88 21.8 (2.1) — -6.4% 2 SOG
EDM @ OTT 6:00 PM CT 2.5 -125 -110 51.5% 54.1% 3.05 22.6 (3.7) — -2.6% 3 SOG
EDM @ OTT 6:00 PM CT 1.5 -140 +105 54.5% 53.6% 1.80 21.1 (0.5) — -8.2% 2 SOG
EDM @ OTT 6:00 PM CT 1.5 -150 +110 55.8% 52.2% 1.67 19.1 (1.0) — -13.0% 2 SOG
EDM @ OTT 6:00 PM CT 2.5 -140 +105 54.5% 52.0% 2.73 21.5 (3.8) — -10.9% 2 SOG
EDM @ OTT 6:00 PM CT 1.5 -130 +100 53.1% 51.2% 1.71 20.7 (0.9) — -9.4% 1 SOG
EDM @ OTT 6:00 PM CT 2.5 -130 -105 52.5% 51.0% 2.72 24.0 (3.7) — -9.7% 4 SOG
OTT vs EDM 6:00 PM CT 2.5 +120 -160 42.5% 40.2% 2.20 17.3 (2.9) — -11.7% 2 SOG
OTT vs EDM 6:00 PM CT 2.5 +140 -190 38.9% 38.4% 2.24 19.8 (3.5) — -7.9% 0 SOG
OTT vs EDM 6:00 PM CT 2.5 +120 -160 42.5% 36.7% 1.94 23.9 (3.3) UNDER lean +2.9% W 1 SOG · +0.63u
OTT vs EDM 6:00 PM CT 2.5 +135 -180 39.8% 32.7% 1.78 17.3 (1.7) UNDER lean +4.8% W 1 SOG · +0.56u
NYI vs SJS 6:00 PM CT 1.5 -195 +145 61.8% 62.1% 2.17 21.2 (2.7) — -6.0% 3 SOG
NYI vs SJS 6:00 PM CT 1.5 -195 +145 61.8% 59.6% 1.97 21.6 (2.6) — -9.8% 4 SOG
SJS @ NYI 6:00 PM CT 1.5 -190 +140 61.1% 59.2% 1.96 19.0 (2.3) — -9.7% 4 SOG
SJS @ NYI 6:00 PM CT 1.5 -155 +115 56.7% 54.9% 1.84 13.2 (1.3) — -9.6% 6 SOG
NYI vs SJS 6:00 PM CT 2.5 -140 +105 54.5% 53.9% 2.88 20.9 (3.8) — -7.7% 1 SOG
SJS @ NYI 6:00 PM CT 1.5 -135 +100 53.5% 52.7% 1.77 15.4 (2.2) — -8.2% 4 SOG
NYI vs SJS 6:00 PM CT 1.5 -125 -105 52.0% 50.7% 1.68 15.7 (1.5) — -8.8% 2 SOG
SJS @ NYI 6:00 PM CT 2.5 -120 -110 51.0% 49.2% 2.62 19.2 (2.4) — -9.8% 6 SOG
NYI vs SJS 6:00 PM CT 1.5 -120 -110 51.0% 48.8% 1.62 15.8 (3.0) — -10.6% 0 SOG
SJS @ NYI 6:00 PM CT 2.5 -115 -115 50.0% 47.9% 2.52 16.7 (2.2) — -10.5% 2 SOG
NYI vs SJS 6:00 PM CT 2.5 -115 -115 50.0% 46.8% 2.44 19.2 (3.4) — -12.6% 2 SOG
NYI vs SJS 6:00 PM CT 2.5 +115 -150 43.7% 42.7% 2.38 15.4 (1.8) — -8.1% 5 SOG
NYI vs SJS 6:00 PM CT 3.5 +115 -155 43.4% 37.8% 2.88 19.1 (3.5) UNDER lean +2.4% W 1 SOG · +0.65u
PIT vs VAN 6:00 PM CT 1.5 -170 +125 58.6% 57.2% 1.93 17.5 (2.7) — -9.2% 4 SOG
PIT vs VAN 6:00 PM CT 1.5 -155 +115 56.7% 56.8% 1.96 21.3 (2.5) — -6.5% 0 SOG
VAN @ PIT 6:00 PM CT 1.5 -175 +130 59.4% 54.7% 1.72 15.7 (1.2) UNDER lean +4.2% W 1 SOG · +1.30u
VAN @ PIT 6:00 PM CT 1.5 -150 +110 55.8% 53.0% 1.73 17.3 (2.9) — -11.7% 2 SOG
PIT vs VAN 6:00 PM CT 1.5 -110 -120 49.0% 50.7% 1.79 22.5 (1.7) — -3.2% 2 SOG
PIT vs VAN 6:00 PM CT 2.5 -105 -125 48.0% 49.7% 2.77 20.3 (2.8) — -2.9% 3 SOG
VAN @ PIT 6:00 PM CT 2.5 +100 -130 46.9% 45.7% 2.49 26.2 (3.5) — -8.7% 2 SOG
PIT vs VAN 6:00 PM CT 2.5 +120 -160 42.5% 44.2% 2.54 19.5 (3.1) — -2.9% 1 SOG
VAN @ PIT 6:00 PM CT 2.5 +100 -135 46.5% 42.8% 2.27 16.2 (1.2) — -14.4% 3 SOG
PIT vs VAN 6:00 PM CT 2.5 +115 -155 43.4% 42.3% 2.37 18.4 (2.8) — -9.0% 1 SOG
VAN @ PIT 6:00 PM CT 2.5 +105 -140 45.5% 42.2% 2.26 18.3 (2.7) — -13.5% 2 SOG
VAN @ PIT 6:00 PM CT 2.5 +120 -165 42.2% 37.1% 2.00 16.5 (3.0) — -18.3% 1 SOG
WSH vs SEA 6:00 PM CT 1.5 -175 +130 59.4% 59.5% 2.05 17.7 (2.9) — -6.5% 1 SOG
WSH vs SEA 6:00 PM CT 1.5 -190 +140 61.1% 59.3% 2.00 18.8 (2.8) — -9.6% 5 SOG
WSH vs SEA 6:00 PM CT 1.5 -200 +150 62.5% 58.9% 1.89 17.6 (1.0) UNDER lean +2.8% L 2 SOG · -1.00u
SEA @ WSH 6:00 PM CT 1.5 -170 +125 58.6% 57.8% 1.95 16.4 (1.7) — -8.3% 4 SOG
WSH vs SEA 6:00 PM CT 1.5 -175 +130 59.4% 56.9% 1.83 15.1 (1.5) — -10.6% 2 SOG
SEA @ WSH 6:00 PM CT 1.5 -160 +120 57.5% 56.6% 1.92 17.6 (2.5) — -8.0% 3 SOG
SEA @ WSH 6:00 PM CT 1.5 -150 +115 56.3% 54.4% 1.79 18.7 (2.5) — -9.4% 2 SOG
WSH vs SEA 6:00 PM CT 1.5 -140 +105 54.5% 53.1% 1.77 14.2 (0.2) — -9.1% 2 SOG
WSH vs SEA 6:00 PM CT 1.5 -130 +100 53.1% 45.5% 1.34 12.4 (0.9) UNDER best +9.0% L 3 SOG · -1.00u
WSH vs SEA 6:00 PM CT 2.5 -105 -125 48.0% 43.1% 2.24 22.7 (2.4) UNDER lean +2.5% L 4 SOG · -1.00u
WSH vs SEA 6:00 PM CT 3.5 +100 -130 46.9% 40.3% 2.95 17.2 (3.8) UNDER best +5.6% W 1 SOG · +0.77u
SEA @ WSH 6:00 PM CT 2.5 +140 -190 38.9% 35.1% 1.97 22.2 (2.6) — -15.9% 1 SOG
WSH vs SEA 6:00 PM CT 2.5 +150 -200 37.5% 33.9% 1.94 23.0 (2.8) — -15.4% 3 SOG
BOS vs FLA 6:30 PM CT 1.5 -155 +120 57.2% 58.9% 2.07 19.2 (3.4) — -3.1% 1 SOG
FLA @ BOS 6:30 PM CT 1.5 -180 +135 60.2% 57.1% 1.84 16.2 (1.7) — -11.1% 2 SOG
BOS vs FLA 6:30 PM CT 1.5 -170 +130 59.2% 56.1% 1.81 13.1 (1.3) — -10.9% 1 SOG
FLA @ BOS 6:30 PM CT 1.5 -150 +115 56.3% 54.9% 1.81 15.8 (1.8) — -8.5% 1 SOG
BOS vs FLA 6:30 PM CT 1.5 -125 -110 51.5% 54.7% 1.97 18.7 (3.4) — -1.6% 2 SOG
FLA @ BOS 6:30 PM CT 1.5 -145 +110 55.4% 53.6% 1.76 23.8 (3.4) — -9.4% 0 SOG
FLA @ BOS 6:30 PM CT 1.5 -120 -110 51.0% 51.2% 1.77 23.2 (3.0) — -6.1% 0 SOG
FLA @ BOS 6:30 PM CT 1.5 -130 -105 52.5% 51.2% 1.69 23.0 (0.5) — -9.5% 0 SOG
FLA @ BOS 6:30 PM CT 2.5 -125 -110 51.5% 49.4% 2.65 20.8 (3.6) — -11.0% 1 SOG
FLA @ BOS 6:30 PM CT 2.5 -115 -115 50.0% 48.9% 2.60 17.5 (2.8) — -8.6% 2 SOG
FLA @ BOS 6:30 PM CT 2.5 -165 +125 58.4% 46.5% 2.13 16.5 (2.7) UNDER best +20.4% W 1 SOG · +1.25u
FLA @ BOS 6:30 PM CT 2.5 -115 -115 50.0% 45.8% 2.37 17.8 (2.2) — -14.3% 2 SOG
BOS vs FLA 6:30 PM CT 3.5 +100 -135 46.5% 45.8% 3.49 20.1 (4.1) — -8.4% 4 SOG
FLA @ BOS 6:30 PM CT 2.5 +145 -190 38.4% 32.3% 1.77 14.3 (2.4) UNDER lean +3.3% L 4 SOG · -1.00u
LAK @ STL 7:00 PM CT 1.5 -160 +120 57.5% 58.3% 2.03 19.1 (2.3) — -5.3% 3 SOG
LAK @ STL 7:00 PM CT 1.5 -145 +110 55.4% 57.9% 2.09 16.0 (0.8) — -2.3% 1 SOG
STL vs LAK 7:00 PM CT 1.5 -155 +115 56.7% 56.3% 1.92 17.9 (2.5) — -7.4% 0 SOG
LAK @ STL 7:00 PM CT 1.5 -160 +120 57.5% 54.1% 1.75 14.7 (0.9) — -12.1% 2 SOG
STL vs LAK 7:00 PM CT 1.5 -125 -105 52.0% 52.6% 1.83 19.5 (2.7) — -5.3% 1 SOG
STL vs LAK 7:00 PM CT 1.5 -135 +100 53.5% 52.6% 1.79 15.4 (2.4) — -8.4% 0 SOG
LAK @ STL 7:00 PM CT 2.5 -155 +120 57.2% 52.3% 2.61 18.5 (2.7) UNDER lean +4.9% L 3 SOG · -1.00u
STL vs LAK 7:00 PM CT 1.5 -130 +100 53.1% 51.8% 1.72 17.6 (2.2) — -8.3% 1 SOG
LAK @ STL 7:00 PM CT 2.5 -125 -105 52.0% 50.7% 2.67 19.4 (2.6) — -8.7% 2 SOG
STL vs LAK 7:00 PM CT 1.5 -110 -120 49.0% 50.4% 1.74 23.2 (0.6) — -3.8% 1 SOG
STL vs LAK 7:00 PM CT 2.5 +100 -130 46.9% 46.6% 2.55 17.2 (2.4) — -6.8% 1 SOG
STL vs LAK 7:00 PM CT 2.5 +140 -190 38.9% 38.9% 2.27 18.5 (2.4) — -6.6% 1 SOG
LAK @ STL 7:00 PM CT 2.5 +140 -190 38.9% 35.4% 1.96 16.9 (0.9) — -15.1% 0 SOG
NSH vs ANA 7:00 PM CT 1.5 -170 +125 58.6% 57.9% 2.01 19.3 (3.0) — -8.0% 0 SOG
ANA @ NSH 7:00 PM CT 1.5 -170 +125 58.6% 57.8% 1.96 16.3 (2.8) — -8.3% 3 SOG
ANA @ NSH 7:00 PM CT 1.5 -135 +105 54.1% 56.7% 2.06 15.0 (1.0) — -1.3% 2 SOG
NSH vs ANA 7:00 PM CT 1.5 -155 +115 56.7% 56.5% 1.92 21.5 (2.2) — -7.1% 1 SOG
ANA @ NSH 7:00 PM CT 1.5 -175 +130 59.4% 56.3% 1.78 17.1 (2.6) — -11.6% 3 SOG
ANA @ NSH 7:00 PM CT 1.5 -135 +100 53.5% 55.6% 2.03 18.6 (1.4) — -3.2% 2 SOG
ANA @ NSH 7:00 PM CT 1.5 -175 +130 59.4% 55.0% 1.71 18.3 (1.6) UNDER lean +3.6% L 3 SOG · -1.00u
NSH vs ANA 7:00 PM CT 2.5 -140 +105 54.5% 53.5% 2.82 24.4 (3.5) — -8.3% 2 SOG
ANA @ NSH 7:00 PM CT 2.5 -175 +130 59.4% 52.5% 2.54 17.2 (1.3) UNDER best +9.3% W 2 SOG · +1.30u
ANA @ NSH 7:00 PM CT 1.5 +100 -135 46.5% 48.8% 1.73 16.5 (1.6) — -2.4% 1 SOG
NSH vs ANA 7:00 PM CT 1.5 -110 -120 49.0% 48.5% 1.64 15.2 (0.9) — -7.4% 2 SOG
ANA @ NSH 7:00 PM CT 1.5 -120 -110 51.0% 48.1% 1.56 23.9 (2.8) — -11.8% 1 SOG
ANA @ NSH 7:00 PM CT 1.5 +100 -130 46.9% 46.9% 1.60 17.2 (2.5) — -6.3% 3 SOG
NSH vs ANA 7:00 PM CT 3.5 -110 -125 48.5% 45.3% 3.33 19.2 (3.3) — -13.5% 3 SOG
ANA @ NSH 7:00 PM CT 2.5 +115 -150 43.7% 41.0% 2.26 19.1 (1.9) — -11.8% 1 SOG
NSH vs ANA 7:00 PM CT 2.5 +115 -150 43.7% 40.6% 2.23 17.6 (3.3) — -12.7% 1 SOG
NSH vs ANA 7:00 PM CT 2.5 +140 -190 38.9% 37.1% 2.13 15.1 (2.0) — -10.9% 2 SOG
NSH vs ANA 7:00 PM CT 2.5 +135 -180 39.8% 36.7% 2.05 16.2 (2.2) — -13.9% 0 SOG
CBJ @ DAL 7:00 PM CT 1.5 -175 +130 59.4% 61.2% 2.16 18.9 (2.4) — -3.9% 1 SOG
DAL vs CBJ 7:00 PM CT 1.5 -175 +130 59.4% 58.3% 1.96 23.7 (2.5) — -8.4% 0 SOG
CBJ @ DAL 7:00 PM CT 1.5 -150 +115 56.3% 55.5% 1.85 15.5 (1.7) — -7.5% 3 SOG
DAL vs CBJ 7:00 PM CT 2.5 -145 +110 55.4% 54.6% 2.85 21.9 (3.3) — -7.7% 1 SOG
CBJ @ DAL 7:00 PM CT 1.5 -145 +110 55.4% 53.2% 1.74 16.1 (2.4) — -10.2% 1 SOG
CBJ @ DAL 7:00 PM CT 2.5 -145 +110 55.4% 51.1% 2.60 18.6 (2.5) UNDER lean +2.7% L 3 SOG · -1.00u
DAL vs CBJ 7:00 PM CT 2.5 -110 -120 49.0% 48.6% 2.60 20.3 (2.8) — -7.2% 3 SOG
CBJ @ DAL 7:00 PM CT 3.5 +105 -140 45.5% 43.1% 3.24 26.3 (2.6) — -11.6% 0 SOG
DAL vs CBJ 7:00 PM CT 2.5 +100 -135 46.5% 42.8% 2.25 18.6 (2.7) — -14.4% 2 SOG
DAL vs CBJ 7:00 PM CT 2.5 +115 -155 43.4% 40.3% 2.20 16.5 (1.8) — -13.4% 2 SOG
DAL vs CBJ 7:00 PM CT 2.5 +115 -155 43.4% 39.7% 2.13 24.1 (2.9) — -14.6% 4 SOG
CBJ @ DAL 7:00 PM CT 2.5 +145 -195 38.2% 39.1% 2.31 18.5 (2.2) — -4.1% 2 SOG
CBJ @ DAL 7:00 PM CT 2.5 +150 -200 37.5% 36.4% 2.12 16.9 (1.7) — -9.0% 3 SOG
DAL vs CBJ 7:00 PM CT 3.5 +125 -165 41.7% 35.1% 2.72 18.8 (2.8) UNDER lean +4.3% W 3 SOG · +0.61u
UTA vs COL 9:00 PM CT 1.5 -165 +120 57.8% 59.6% 2.14 17.1 (2.4) — -4.3% 1 SOG
COL @ UTA 9:00 PM CT 1.5 -155 +115 56.7% 58.3% 2.06 18.6 (3.0) — -4.2% 1 SOG
UTA vs COL 9:00 PM CT 1.5 -145 +110 55.4% 57.4% 2.05 18.3 (3.3) — -3.0% 2 SOG
COL @ UTA 9:00 PM CT 1.5 -150 +115 56.3% 56.1% 1.93 17.5 (2.9) — -6.5% 1 SOG
COL @ UTA 9:00 PM CT 1.5 -115 -115 50.0% 53.2% 1.94 16.3 (2.7) — -0.6% 1 SOG
COL @ UTA 9:00 PM CT 1.5 -145 +110 55.4% 53.1% 1.74 21.3 (1.5) — -10.4% 3 SOG
COL @ UTA 9:00 PM CT 1.5 -155 +115 56.7% 51.2% 1.55 13.3 (2.1) UNDER lean +4.9% W 1 SOG · +1.15u
UTA vs COL 9:00 PM CT 2.5 -135 +105 54.1% 51.1% 2.65 18.0 (3.7) — -11.1% 3 SOG
UTA vs COL 9:00 PM CT 1.5 -115 -115 50.0% 50.8% 1.74 24.5 (3.6) — -5.0% 4 SOG
UTA vs COL 9:00 PM CT 1.5 +100 -130 46.9% 49.6% 1.78 16.7 (2.2) — -0.7% 1 SOG
COL @ UTA 9:00 PM CT 2.5 -130 +100 53.1% 48.9% 2.50 24.4 (4.0) UNDER lean +2.2% W 2 SOG · +1.00u
COL @ UTA 9:00 PM CT 3.5 -125 -105 52.0% 48.8% 3.52 20.8 (4.3) — -12.3% 8 SOG
UTA vs COL 9:00 PM CT 2.5 +105 -140 45.5% 45.9% 2.55 19.3 (3.8) — -5.9% 4 SOG
COL @ UTA 9:00 PM CT 1.5 +105 -135 45.9% 43.3% 1.43 23.3 (1.3) — -11.3% 2 SOG
COL @ UTA 9:00 PM CT 2.5 +120 -160 42.5% 43.1% 2.46 19.7 (4.0) — -5.1% 2 SOG
UTA vs COL 9:00 PM CT 2.5 +120 -165 42.2% 40.6% 2.23 18.6 (3.6) — -10.7% 4 SOG
COL @ UTA 9:00 PM CT 2.5 +145 -200 38.0% 36.0% 2.07 17.4 (2.1) — -11.8% 1 SOG

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