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Favorites covering
in the NFL once
again
Simon Noble of
PinnacleSports.com
discusses the recent
trend of favorites
covering in the NFL
and gives players a
tactic to evaluate
teams based on their
offensive and
defensive yards per
play.
Until recently,
sharp players
routinely turned a
profit using very
little handicapping
and simply playing
underdogs. Blindly
betting every home
dog of +7.5 or more
during NFL season
became a staple that
regularly cashed at
the window. Then
this traditional
handicapping
technique stopped
working to the point
that these “bread
and butter” plays no
longer brought home
the bacon. In 2005,
the “Sharps 101
playbook” was
rewritten as
favorites covered
58% of the time.
Although it’s only
the fourth week of
the season, at
Pinnacle Sportsbook
we’ve noticed that
this trend may
reestablish itself
as good teams
dominate. Teams that
are 2-1 or 3-0 are a
combined 32-12
(72.73%) against the
spread. With
underdogs of 10 or
more points only
covering 1/3 of
games this season it
certainly brings
league parity into
question.
There’s always been
a gap between the
“haves” and “have
nots” in the NFL.
Prior to the 2002
season, this gap was
bridged by
scheduling four
games for each team
based on the
previous year’s
performance. If a
team finished last
in its division, the
“crème puff” factor
dictated that it
would get four games
against equally bad
teams.
Since 2002, new NFL
scheduling rules
dictate that only
two games per year
would be based on a
team’s record from
the preceding year.
As a result, today’s
NFL schedule now
contains more games
between mismatched
teams than before.
Consequently, bad
teams lose more
games while good
teams win more
often.
This was extremely
evident last year
when only 1 of 32
teams finished with
an 8-8 record. With
the ever-growing
number of underdog
players and more
mismatches, there
are now profitable
opportunities to do
what was previously
unthinkable - back
quality teams as
large favorites.
Since there are
several underdog
players at Pinnacle
Sportsbetting, which
also offers up to
60% better odds on
NFL sides, there’s
often great value to
be found betting
favorites.
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One way to evaluate
a team is to look at
its offensive yards
per play and the
defensive yards
allowed per play. As
one would expect,
teams that gain more
yards than they
allow tend to win.
While this isn’t
exclusively
accurate, this
measure is at least
as good a predictor
of future
performance as past
game scores. Using
the Internet and
Excel, you can
easily evaluate the
entire league in
just a few minutes.
Scraping data and
analyzing it in
Excel is a mandatory
skill for successful
handicappers, so
it’s worthwhile to
provide a brief
example of how
simple it is.
Under the “Stats”
section on NFL.com
simply select “2005
regular season”. At
the bottom of the
page under “Sortable
team rankings”,
there are “Offense”
and “Defense”
options. Simply
clicking the “Find
stats” button after
selecting total
offense or defense,
will give a number
of statistics for
every NFL team
including
offensive/defensive
yards per play
(Y/P).
Copy the offensive
and defensive yards
per play into an
Excel spreadsheet
sorted for each
team’s individual
stats. Then simply
subtract the
defensive yards per
play from the
offensive yards per
play. If the “A”
column is the team,
and “B and C” are
offensive and
defensive yardages
respectively, use
the formula “=b1-c1”
in column D. This
will give a “yardage
differential” for
each team, which if
positive, indicates
a team that gains
more yardage on
offense than it
surrenders. If done
correctly, the
spreadsheet should
look like this:
|
Team |
Y/P |
Y/P |
Net Yard Differential |
|
Team |
Y/P |
Y/P |
Net Yard Differential |
|
San Francisco |
4.1 |
5.7 |
-1.6 |
|
Philadelphia |
5 |
5 |
0 |
|
Houston |
4.2 |
5.8 |
-1.6 |
|
Tampa
Bay |
4.8 |
4.7 |
0.1 |
|
Buffalo |
4.4 |
5.3 |
-0.9 |
|
Arizona |
5.2 |
5.1 |
0.1 |
|
Detroit |
4.5 |
5.1 |
-0.6 |
|
Green Bay |
4.9 |
4.8 |
0.1 |
|
New Orleans |
4.9 |
5.3 |
-0.4 |
|
Washington |
5.1 |
4.9 |
0.2 |
|
New York (NYJ) |
4.4 |
4.7 |
-0.3 |
|
Jacksonville |
5 |
4.8 |
0.2 |
|
Tennessee |
5 |
5.3 |
-0.3 |
|
New England |
5.5 |
5.3 |
0.2 |
|
Baltimore |
4.4 |
4.6 |
-0.2 |
|
Kansas City |
5.8 |
5.4 |
0.4 |
|
Dallas |
4.9 |
5.1 |
-0.2 |
|
Miami |
5.1 |
4.7 |
0.4 |
|
St. Louis |
5.4 |
5.6 |
-0.2 |
|
San Diego |
5.4 |
5 |
0.4 |
|
Atlanta |
5.1 |
5.2 |
-0.1 |
|
Carolina |
5.1 |
4.6 |
0.5 |
|
Cleveland |
4.9 |
5 |
-0.1 |
|
Denver |
5.6 |
5.1 |
0.5 |
|
Minnesota |
4.9 |
5 |
-0.1 |
|
New York (NYG) |
5.5 |
5 |
0.5 |
|
Oakland |
5 |
5.1 |
-0.1 |
|
Indianapolis |
5.8 |
5.2 |
0.6 |
|
Chicago |
4.4 |
4.4 |
0 |
|
Pittsburgh |
5.4 |
4.6 |
0.8 |
|
Cincinnati |
5.6 |
5.6 |
0 |
|
Seattle |
5.8 |
4.9 |
0.9 |
|
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The four worst teams
in terms of yardage
per play
differential in 2005
were San Francisco,
Houston, Buffalo and
Detroit, while the
four best were the
New York Giants,
Indianapolis,
Pittsburgh and
Seattle. Betting
lines often fail to
adequately reflect
the difference
between the elite
teams compared to
the dregs. The top
four were 6-2-1
against the spread
and 9-0 straight up
in 2005 against the
bottom four.
While these results
aren’t surprising, a
yardage differential
can also be used to
analyze match-ups
between nearly any
two teams. There’s a
“quick and dirty”
rule for setting a
spread using NFL
yardage
differential: each
0.15 yards per play
is worth 1 point. As
an example, let’s
examine Monday’s
game of Green Bay at
Philadelphia.
According to NFL.com,
the Eagles are
gaining 6.7 yards
per play this
season, while
allowing 5.0 yards
per play – a
differential of
+1.7. The Packers
are gaining 5.4 Y/P,
while allowing 5.9
Y/P, for a net
differential of
-0.5. The Eagles’
net differential is
2.2 better; dividing
by 0.15 suggests the
Eagles should be
about a 14.5 point
favorite on a
neutral field.
As with all tools
for evaluating
teams, this
calculation is best
used in conjunction
with other
handicapping methods
and using common
sense. Many
statistical methods
become far more
viable after 4-6
games so the current
season’s data can be
analyzed. However,
even at this early
stage, these types
of statistical
methods can be a
good way to look for
new winning angles –
like identifying
under-priced big
favorites.
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Simon Noble,
www.pinnaclesports.com
Originally published
September 27, 2006
8:55 pm ET
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