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SportsInsights.com
Article -- College Basketball and Betting Against the
Public (November 2009)
We are pleased
to bring you this year's College Basketball article on
"Betting Against the Public." SportsInsights'
research analysts took a closer look at several parameters and
ideas that we have mentioned previously. For example, in
our College
Football "Bet Against the Public" article, we
studied why results may have been better for SIs
Square Plays versus plain vanilla "betting
percentages." Below, we show that a
simple method of using "Number of Bets" can help to
"key in on Public games" and improve contrarian
results.
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.
College Basketball Data
The SportsInsights NCAA Basketball database now includes six complete
season's worth of data:
- Data for the past six seasons (November 2003 through
April 2009)
- Includes data from conference championships and March
Madness
- Includes data on almost 20,000 games!
Note that for the purposes of this article, we used data for
only the 2008-2009 season because we wanted the cleanest data
for the "Number of Bets." The results for this
article are based on almost 3,500
games.
You can purchase SportsInsights' historical database to perform
your own research by visiting the link below. Data is available for seven major US sports -- and may be
purchased as a group -- or for individual sports.
http://www.sportsinsights.com/historical-betting-odds-result-download.aspx
Thoughts
on College Basketball
College
basketball is a unique sport and presents both problems and opportunities
for sports bettors and sportsbooks. For instance:
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There are
tons of games on Saturday. With so many games
concentrated in just a few hours on Saturday's (especially
with college football going on), there is a lot of
risk for sportsbooks to manage. This also means that
there are also many potential opportunities for sports
investors. Just remember to limit your plays because
it's hard to beat the "vig" that sportsbooks
collect.
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To manage
risk, sportsbooks will need to move "point
spreads" to balance their book.
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"Smart
money" methods work fairly well in College hoops. That
is, follow line moves -- especially when they are opposite
the direction of the Public's betting.
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Using the
"Number of Bets" can help you to hone in on the
games that are most "heavily-bet" and can
potentially yield more value for contrarian sports
investors.
SportsInsights'
Sports Investing Research and Tools
Over the years, SportsInsights has shown
that "Betting Against the Public" can help give
you an edge. SportsInsights has also created innovative tools
for its Members to track "Smart Money" as well as
"Steam
Moves." With so many games concentrated
in such a short amount of time (Saturday's!), it is good to use
all the tools at your disposal to narrow the number of potential
sports investing values down. Please visit our recap of academic
studies on sports betting on the NHL and other sports as well as
on
football. Here are some other thoughts on betting
system development:
-
Historically,
games with a national "focus" or
"audience" draws more interest from the general
betting public -- and provides more of an edge for
"value" sports investors.
-
Fewer
parameters are better than more parameters. However,
if there is a logical reason behind a method, it could improve the information in your systems and ultimately, its
results in the future.
The overriding
theme of SportsInsights' philosophy is to find contrarian
value. If we can focus on "Public games" where we can
"Bet Against the Public," research shows that we can
improve our contrarian results.
Betting Against the Public -- Public Games
In order to focus on games that interest the
Public more, we used SportsInsights' "Number of
Bets." More specifically, we used only games that were
"more heavily-bet" than average -- so we filtered out
about half of the games. We split the results up by Home
and Visiting selections.
Table 1: NCAA BB and
Betting Against the Public (Home
Team is Contrarian Pick)
| Betting % on Home Team |
Pick Home Team
based on Betting % Only |
Pick Home Team
based on Betting % and Number of Bets |
Pick Home Dog of 3
Pts or more based on Betting %, Number of Bets |
| < 40% |
47.8% |
49.7% |
48.6% |
| < 35% |
48.3% |
50.3% |
49.2% |
| < 30% |
48.1% |
50.0% |
51.8% |
| < 25% |
49.5% |
51.9% |
53.9% |
Some Notes on the Results
- As you can see, using the "Number of
Bets," as a filter, helps to improve results for our
"Betting Percentages."
- In addition, betting only
on underdogs of +3 or better improved results further.
- At the 25% "bet against" level for home teams,
using these parameters yielded 53.9%
last year.
Table 2: NCAA BB and
Betting Against the Public (Visiting
Team is Contrarian Pick)
| Betting % on Home Team |
Pick Visiting Team
based on Betting % Only |
Pick Visiting Team
based on Betting % and Number of Bets |
Pick Visiting Dog
of 3 Pts or more based on Betting %, Number of Bets |
| > 60% |
50.2% |
52.6% |
51.9% |
| > 65% |
49.1% |
52.0% |
51.6% |
| > 70% |
48.7% |
52.2% |
52.5% |
| > 75% |
51.7% |
55.6% |
56.0% |
Visiting Team Undervalued, Again
Again, results improve with the use of "Number of
Bets" and selecting dogs > 3 points. Interestingly, Visiting teams
seem undervalued as compared to Home teams. This
has been the case in several sports (for
example, the NBA) we have studied -- where we have broken
out results for Home and Visiting teams.
We hope you
will use this information and other
SportsInsights tools to help you invest in the sports
marketplace. Our
Premium and
Premium Pro Members can access even more tools to help
improve your sports investing performance.
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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