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NHL weekly betting guide: Evaluating the ghosts of pre-Christmas games past

Patrick Smith / Getty Images Sport / Getty

Whether it's at the end of the regular season or during some obvious break in the schedule, you'll hear about the most, and least, profitable teams in a given league. But it's largely irrelevant.

What is worth a quick investigation - during this hiatus in the hockey season - is how the best and worst teams in the NHL have done for their bettors, who were either willing to lay a price to back the good teams or were able to hold their nose and bet on the bad ones.

We were given a hint before the season as to who would be good this season. The Hurricanes, Devils, Avalanche, and Maple Leafs were all expected to push for more than 106 points, or 1.3 points per game, in the standings.

We were also given a hint as to who might be bad this season. The Blackhawks, Ducks, and Sharks were lined at 71 points or worse (0.86 points per game).

Here's how blindly betting on those six teams has fared this season.

TEAM (RSP Total) ML RECORD PROFIT (+) / LOSS (-)
Hurricanes (107.5) 17-17 -10.2
Devils (107) 17-15 -11.4
Avalanche (106.5) 21-13 +2.0
Maple Leafs (106.5) 17-14 -6.8
-
Blackhawks (71) 10-23 -3.8
Ducks (67.5) 12-21 -0.9
Sharks (66.5) 9-25 -3.9

Why is hockey so difficult to bet on? Blindly betting on both the good and bad teams can be a losing proposition.

With a high rating coming into the season, the Avalanche have needed to win 62% of their games to be marginally profitable.

At the other end, getting big underdog moneyline prices on the low-rated teams hasn't guaranteed profits, either.

The Sharks lost their first 11 games, making them profitable at +7.1 units since a disastrous start. What's even wilder is that, before heading into the Christmas break with a five-game losing streak, San Jose had an 18-game stretch of winning 12.1 units for their bettors.

The cheat sheet

The dirty little secret in the betting world is that, while there are no bad bets at the right price, the discovery process of what a good price looks like is hidden.

Each week, we balance market information from regular-season point totals and in-season advanced metrics - with an even-strength focus - to determine the win probability for each team and the moneyline needed to bet on either side. The idea is to remove the cognitive bias of win-loss records, which can be skewed by outliers like special-team results, poor goaltending performances, and other unreliable events.

You can use whatever parameters you like to decide how much of an edge you need to trigger a bet, but here are mine:

  • True line favorite of -111 or longer: 1%
  • True line between -110 and +110: 2.5%
  • True line underdog of +111 or longer: 4%

I also have a 5% win probability consideration for a team playing in the second game of a back-to-back with travel and a 3% consideration for the second leg of a home back-to-back. When it comes to injured players, an estimation is made on the player's impact on their team's win probability.

When the betting markets open up the night before, you can compare those prices with our "price to bet" column to see if you're getting any value with either side's moneyline. There's a possibility that a moneyline moves into a bet-friendly range at some point between the market opening and puck drop.

DATE GAME WIN PROB. (%) PRICE TO BET
Dec. 27 CBJ@NJD 38.2/61.8 CBJ +192/NJD -155
OTT@TOR 37.3/62.7 OTT +201/TOR -161
WSH@NYR 41.0/59.0 WSH +170/NYR -138
FLA@TB 48.9/51.1 FLA +116/TBL +106
PIT@NYI 52.6/47.4 PIT -107/NYI +131
BOS@BUF 48.0/52.0 BOS +120/BUF +102
DAL@STL 52.5/47.5 DAL -106/STL +130
DET@MIN 42.9/57.1 DET +157/MIN -128
CAR@NSH 54.0/46.0 CAR -113/NSH +138
WPG@CHI 55.9/44.1 WPG -122/CHI +149
COL@ARI 55.0/45.0 COL -118/ARI +144
SEA@CGY 45.0/55.0 SEA +144/CGY -117
VGK@ANA 55.4/44.6 VGK -119/ANA +146
SJS@LAK 36.9/63.1 SJS +204/LAK -164
Dec. 28 MTL@CAR 39.8/60.2 MTL +179/CAR -145
PHI@VAN 43.0/57.0 PHI +156/VAN -127
LAK@VGK 49.0/51.0 LAK +115/VGK +106
EDM@SJS 57.7/42.3 EDM -131/SJS +161
Dec. 29 NYR@FLA 46.8/53.2 NYR +134/FLA -109
NSH@DET 44.6/55.4 NSH +146/DET -119
NJD@OTT 49.1/50.9 NJD +115/OTT +107
TOR@CBJ 59.4/40.6 TOR -141/CBJ +173
WSH@NYI 47.8/52.2 WSH +121/NYI +101
COL@STL 53.1/46.9 COL -109/STL +133
CHI@DAL 31.4/68.6 CHI +265/DAL -208
ARI@ANA 51.3/48.7 ARI +105/ANA +116
PHI@SEA 36.3/63.7 PHI +209/SEA -168
Dec. 30 MIN@WPG 48.3/51.7 MIN +119/WPG +103
CBJ@BUF 32.0/68.0 CBJ +257/BUF -203
NSH@WSH 45.3/54.7 NSH +142/WSH -116
MTL@FLA 43.0/57.0 MTL +157/FLA -127
CAR@TOR 50.8/49.2 CAR +107/TOR +114
STL@PIT 36.0/64.0 STL +213/PIT -171
NJD@BOS 37.7/62.3 NJD +196/BOS -158
NYR@TBL 44.7/55.3 NYR +146/TBL -119
EDM@LAK 48.6/51.4 EDM +117/LAK +105
Dec. 31 WPG@MIN 43.7/56.3 WPG +152/MIN -123
BOS@DET 45.4/54.6 BOS +141/DET -115
BUF@OTT 45.3/54.7 BUF +142/OTT -116
NYI@PIT 42.4/57.6 NYI +161/PIT -131
MTL@TBL 37.9/62.1 MTL +195/TBL -157
PHI@CGY 40.4/59.6 PHI +175/CGY -142
EDM@ANA 58.0/42.0 EDM -133/ANA +163
CHI@DAL 31.4/68.6 CHI +265/DAL -208
SJS@COL 35.0/65.0 SJS +222/COL -178
Jan. 1 VGK@SEA 49.5/50.5 VGK +113/SEA +108

Matt Russell is the lead betting analyst for theScore. If there's a bad beat to be had, Matt will find it. Find him on social media @mrussauthentic.

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