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College Basketball Betting Strategies,
Betting Against the Public and Competitive Games (November 2008)
BettingCharts.com is a
sister company of SportsInsights.com, focused on researching sports
investing strategies. The 2008-09 College Basketball season has just
gotten underway and the staff at BettingCharts worked with the team at
SportsInsights.com to put together some interesting information for our
members. What kinds of systems and strategies work well for college
basketball and "stay true" to SportsInsights' philosophy of seeking out
sports investing values? Check our latest article out for some new tidbits of sports betting information!
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.
Thoughts on College Basketball
College basketball is a
unique sport for sports bettors and sportsbooks. What kinds of
problems and opportunities does this present to sports bettors? Let's
take a look:
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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 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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In hockey, "betting against the Public" works on games expected to be "more competitive."
Betting System Ideas
Over the years, SportsInsights has shown that "Betting Against the Public" can help give you an edge. SportsInsights has also put together tools for its Members that 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.
College basketball has
been underperforming slightly over the recent past -- so we thought we
would look at various methods that could help improve results. One
thought we had was to take a look at a method that worked well for the
NHL (hockey). In particular, we have learned that in the NHL, a filter that helps "fading the public" results is to take a narrower range of odds. 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:
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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.
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By looking at games
with a smaller point spread, we get a better sampling of the "more
exciting" games that the public may be following.
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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.
Betting Against the Public -- NCAA Basketball
"Betting Against the Public"
has traditionally worked in college basketball. SportsInsights.com's
Square Plays had averaged about 55% up until the past two seasons. The
past two seasons have been around 50%, bringing overall results since
inception down to about 53%. The overall data set results in slightly
sub-par results compared to SIs Square Plays. What is the difference
between Square Plays and pure "betting against the public?"
- With such a large selection of games, SportsInsights.com is able to
focus not only on games that the Public loves, but also games that
indicate the existence of Smart money and Sharps.
- Focus on games that have a higher number of bets and a national audience.
- Industry contacts are helpful in finding "circled games," "trap
lines," and "Sharp money" -- especially on super-busy college sport
Saturdays!
Betting Against the Public -- Competitive Games
In the NHL, we saw that we could improve results by fading the Public
in games that are expected to be more competitive. The researchers at
BettingCharts analyzed this factor -- and interestingly found the same to be true on college basketball. More specifically, we found that in games where the "opening
line" was -3.1 to -8.1 (small home favorites), "betting against the
Public" resulted in a 56% winning percentage and +50 units over the past two seasons.
The interesting thing is that this point spread range is almost
centered around the average point spread. (The average college
basketball team favored by around -4 or -5 points). We're pleased that a
method that worked in one sport (hockey) works in another sport. We
don't "love" using an additional parameter in our approach to
researching betting systems -- but this approach seems to make sense and
is another contrarian approach that can help investors identify "value."
Table 1: NCAA BB and Betting Against the Public (-8.1 to -3.1 Pt Spread)
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Betting % on
Home Team
|
Opening Pt Spread (Home Team Spread) |
Play |
Win %
(2 Seasons, 2006-08)
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Win %
(4 Seasons, 2004-08)
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|
< = 30%
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-8.1 to -3.1 (Small Home Favorite) |
Take Home favorite |
59.8% (+18 units)
|
55.2% (+12 units) |
| > = 70% |
-8.1 to -3.1 (Small Home Favorite) |
Take Visiting dog |
54% (+32 units) |
52.5% (+24 units) |
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 make the NHL, NBA, and College
Basketball Seasons -- as well as NFL and College Football Seasons -- "profitable Sports Investing campaigns."
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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