SportsInsights.com Article
An Early Look at “Betting Against the Public” and the New NHL
Although hockey is one
of the least popular major sports – both in terms of fans and dollars
bet – some consider it a “money sport” because of the large number of
games played. For example, the NFL is super-popular, but the regular
season and playoffs generate a total of about 240 games a year. On the
other hand – in just over one-third of the NHL season – hockey has
produced about 400 games. This leads to many more potential “profit
opportunities.”
We’ve recently had some
chatter on our SportsInsights forums about the “New NHL” – so we thought
we would take a peak at how the hockey season was shaping up. We DO
read the forums – so please keep the ideas flowing and help to improve
our community (and our bottom lines!). In this article, we’ll take a
look at how this year’s moneylines have been working out – as well as
study how “Betting Against the Public” is faring. The information on
this site is for entertainment and educational purposes only. Use of
this information in violation of any federal, state, or local laws is
prohibited.
NHL Data
Due to all of the changes introduced by the NHL after the strike – we
used data only for the current hockey season. Although this represents
only a little over one-third of the season (less data that
SportsInsights.com would normally like to include in a study), it DOES
include 400 games – which is a reasonable amount of data.
- Did not use data if Public % was 0% or 100%
- NHL data from 10/1/05 – 12/10/05 (about 400
games)
The NHL is a different animal because it uses a “money line” for betting
purposes (as opposed to a “point spread”). As a result, we show the
actual number of “units won or lost” over the period we studied. We
also computed a “return on investment” or ROI (return for each dollar
put at risk), as we have discussed on our forums.
Results for
Various NHL Moneylines
Some of our members have discussed hockey and results for betting on
dogs and favorites. We thought it would be interesting to take a look
at what’s been going on. Table 1 shows the results of betting on the
Home team at various moneylines.
Table 1: Betting on Home Teams at
Various Moneylines
|
Moneyline Range |
Units Won/Lost |
ROI |
Win % |
Avg Odds |
Notes |
|
-999 to +999 |
-1.7 |
-0.4% |
57% |
-127 |
All home teams |
|
-999 to -100 |
-1.5 |
-0.5% |
62% |
-162 |
All home favorites |
|
-999 to -300 |
-0.0 |
-0.3% |
77% |
-359 |
Huge home favs |
|
-350 to -250 |
+1.4 |
5.2% |
78% |
-284 |
Big home favs |
|
-300 to -200 |
+4.7 |
8.1% |
76% |
-234 |
|
|
-250 to -150 |
+4.9 |
3.5% |
67% |
-182 |
|
|
-200 to -100 |
-7.0 |
-2.9% |
57% |
-143 |
Smaller home favs |
|
-150 to -100 |
-7.0 |
-5.1% |
53% |
-127 |
Smaller range; home favs |
|
+100 to +999 |
-0.3 |
-0.3% |
44% |
+133 |
All home dogs |
|
+100 to +150 |
-4.7 |
-6.4% |
43% |
+119 |
Small home dogs |
|
+150 to +200 |
+3.4 |
13.8% |
44% |
+167 |
Larger home dogs |
|
+200 to +999 |
+1.0 |
51.0% |
50% |
+211 |
Not too meaningful (not enough data) |
Some interesting points
to note:
-
As expected, the broad ranges,
highlighted in yellow, show flat to slightly negative
results. In fact, most of the narrower ranges don’t show any
edge one way or the other.
-
As some of our members have discussed – and based on the limited
data that we have – there DOES seem to be some edge to betting on
heavy (home) favorites, as shown by the
green highlight. We
would stress that this is based on limited data.
(SportsInsights notes that in this sample size, you would have needed
a winning percentage of 76%-78% to earn a profit. We’ll re-visit
this in the future.)
-
Interestingly, heavy home dogs
(highlighted in blue) show a solid gain. We have seen this
trend, profits for large home dogs, in other sports.
Betting Against the Public
SportsInsights also took a look at how “Betting Against the Public” was
faring in the 2006 “New NHL” season. Table 2 presents the results for
the range of moneylines between –170 and +170, where we had the most
data – and where the data seemed most “robust.” (Based on the
“smoothness” of data, the data seemed the most reliable for this
range.) As more data becomes available, we’ll study the more complete
picture.
Even for this relatively
small sample size, the results are starting to tell a story: that
“Betting Against the Public” DOES indeed work in hockey. Note
that due to the relatively small sample size, we don’t have enough data
for the larger extremes of Public Betting % (less than 35%).
Table 2: Public Betting Percentage and NHL
(Within
–170 to +170 range)
|
Public % (lower than X%) |
Units |
ROI |
Win % |
Avg Odds |
|
50% |
+27.8 |
10.1% |
52% |
+117 |
|
45% |
+26.4 |
12.8% |
52% |
+120 |
|
40% |
+24.7 |
16.8% |
53% |
+123 |
|
35% |
+13.2 |
17.3% |
53% |
+125 |
Disclaimer
We do not guarantee that the trends and biases
we’ve found will continue to exist. It is impossible to predict the
future. Any serious academic research in the field of “market
efficiencies” recognizes that inefficiencies may disappear over time.
Once inefficiencies are discovered, it is only a matter of time before
the market corrects itself. We do not guarantee our data is
error-free. However, we’ve tried our best to make sure every score and
percentage is correct.
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