The Pinnacle Pulse Inside the Wagering Line
PinnacleSports.com
Simon Noble
10/18/2006
The Pinnacle Pulse, a column highlighting betting strategy and line
movement on key games. In this edition, Simon Noble of PinnacleSports.com
discusses handicapping college basketball games before discussing line
movement on a variety of betting options at PinnacleSports.com.
He then gives insight into the early line movement on this
weekend’s big games.
Understanding ‘Luck’ and Making It Work For You
Two Sundays ago, during the end of the Dallas-Philadelphia game, the
Cowboys were down 31-24 and driving into Eagle territory with about 30
seconds on the clock. Though Dallas were long shots to score a TD and
tie things up, those “wise guys” sitting on the teaser of Dallas +1.5 up
to +7.5 were already counting their winnings.
With Dallas out of timeouts, a few more incomplete passes, a touchdown,
or even getting tackled in bounds would end the game and give many of
these players a chance to cash at the window with a smile on their face…
Then the unthinkable happened!!! A Dallas pass in the end zone was
intercepted and returned 102 yards for a Philadelphia touchdown. Whether
you call this a highly improbable occurrence, or just plain bad luck,
either way all those Dallas teasers bit the dust and those wise guys
lost out.
While a bad-beat like that may leave a horrible taste in the mouth, it’s
surprising how quickly players forget about the impact of luck on a
team’s performance. Players might later review Dallas’s schedule and
note the Cowboy’s win/loss record, or the points for/against, but miss
the subtle nuances of outrageous misfortune – like the 102 yard TD
interception.
In a very long season – such as the NBA or MLB - the good and bad breaks
tend to balance each other out. After 30-40 games, you get a fair
measure of a team’s ability. It’s more dangerous to ignore luck’s
affects on an NFL team due to the short season; most successful bettors
appreciate how luck adds another dimension to a team’s win/loss record.
There are several occasions each NFL season where the better football
team does not win because of a lucky or unlucky play that defies reason.
We’ve all seen miracles and disasters cause small fortunes to change
hands between bookies and bettors, but still many players ignore this
factor when evaluating teams.
In the same way that players perceive a pattern at the roulette table
when the ball lands on black for six consecutive spins (there’s actually
no pattern, just a sequence of random events), many players try to
deduce a “pattern” in lucky or unlucky teams. However, the results are
better explained by chance.
How do handicappers decide if a result is due solely to luck or from the
quality of a team that finds a way to win? Many professional players do
extensive statistical testing of a single factor that might be heavily
affected by luck. This approach determines whether a team that has shown
a certain tendency in the past (such as throwing many interceptions) is
likely to continue in the future.
The “bean counters” do this with correlation tests, trying to validate
(or refute) the idea that “bad teams throw more interceptions” by
looking at the results of teams in prior seasons. Do bad teams throw
more interceptions, or are there simply unlucky events that make a team
“look bad”? This question can be answered even if you have no idea what
a “correlation test” is.
First off, identify the factor you want to test for luck – in this case,
interceptions. Look at league-wide statistics for the first eight weeks
of the prior season, to see which teams had the most, and least
interceptions. Divide all NFL teams between “good” and “bad” based on
interceptions thrown. If they threw more than average, put them in the
“bad” group, and otherwise in the “good” stack.
Then utilize the same process while examining the last eight or nine
weeks. If the same 16 teams are bad in both halves, it would suggest a
very high correlation, meaning that a team that throws picks will
probably keep doing so. If exactly half of the “bad teams” from the
first half of the season are bad in the second half (regarding
interceptions), it would suggest the event is purely random (since a
“bad” team in the first half of the season is equally likely to be good
or bad in the second).
Practicing this test on NFL teams, will show that interceptions thrown
by a team are almost completely random. In fact, you’d also find similar
results for all forms of giveaways and takeaways – there’s less than a
20% correlation. So how do bettors turn this knowledge into money?
Simply recognize when teams are overrated or underrated because of the
impact on perception of good or bad luck.
A team with a high turnover differential looks good in a box-score, but
it’s just as likely to be positive as negative on turnovers going
forward. Historical scores do not reflect that, and make these teams
(like St. Louis) look much stronger than they actually are. Similarly,
teams with negative turnover differentials (like Oakland and Cleveland)
tend to outperform the public’s expectations (and hence, the spread).
There are other calculations bettors can do that will give a statistical
edge in sports betting. Identifying results that are unusual due to luck
will put you in position to evaluate teams better than the market as a
whole. With any statistic you can isolate and analyze – from the Colts’
3rd-down conversion rate to anomalies in field goal kicking – if you can
recognize luck, you can make money off it.
Real statistics geeks can go further with the luck factors identified.
Advanced correlation can tell you how much difference a lucky turnover
change makes to an NFL game (it’s actually about 3.5 points). Or, a hit
batter in baseball, which accounts for about 0.5 runs. If you can
quantify how much these lucky/unlucky instances change the event
outcomes, you can “adjust” your statistics accordingly and gain a better
measure of what truly happened. If your assessment is more accurate than
the market, you will profit.
What are our players betting?
Miami -17.5 -109 at Duke
In Miami’s game against FIU last week, a brawl broke out resulting in
the suspension of 13 Miami players. We thought the opener of Miami -20.5
accurately reflected these suspensions, but the sharps disagreed. The
wise guys fired away on Duke at +20.5 with some buying it up to +21.5.
Despite the sharp action on Duke, we are seeing many more players
backing Miami.
Texas -6.5 -105 at Nebraska
The initial opener of Texas -8 drew a flurry of sharp activity, all of
which was on Nebraska. Most of the public is on Texas and there are
three times as many wagers on the Longhorns, including most of our
larger Asian players. This game has been heavily traded, with the sharps
refusing to allow the line to drift to Texas -7.
San Diego Chargers -5 -103 at Kansas City Chiefs
The sharps were split evenly on the opener of Chargers -4.5 with some
sharps buying the Chargers down to -3.5. When we see this type of
activity, one of two things must be true – our push percentages are
wrong or their numbers are wrong. Although there’s fairly balanced
action in terms of volume, the public clearly favors the Chargers as
we’ve taken nearly 20 times as many bets on San Diego as Kansas City.
Carolina Panthers +3 +105 at Cincinnati Bengals
We opened the Panthers at +3.5 (-112) and saw a fairly rare event – the
sharps AND the public backing the same side. With nearly three times as
many bets on Carolina as Cincinnati, this price has drifted down.
Similar to the San Diego game, we’re seeing some of our sharper players
buy through the “4”.
About PinnacleSports.com
PinnacleSports.com is the Internet’s largest sports betting site serving
customers in more than 80 countries worldwide. Founded in 1998,
PinnacleSports.com was the first sports book to introduce reduced margin
wagering using a -105 pricing model that gives bettors up to 50% better
value on wagers than traditional bookmakers. With low minimum bet
requirements and the highest maximum limits on the Web,
PinnacleSports.com has earned an industry leading reputation for
providing consistent value to the player, professional customer service
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