Elevate your Football Fantasy League with Data Science

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Elevate your Football Fantasy League with Data
Science

• https//datasportsgroup.com/

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Have you ever wondered how some people keep on
winning in their Fantasy football league while
some even after putting in time and efforts do
not do all that well? If you are playing for
money, wouldn't you like to improve your odds of
winning? The only differentiating factor in both
cases would be the decision-making
process.  Most of the decisions when it comes to
creating a fantasy team are based on intuitions.
One of the rookie mistakes almost everyone makes
is selecting the player based on our personal
preferences and biases. While it could give you a
good feeling while drafting the team, the chances
of winning with such a policy would be very
difficult. 
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Take an example suppose a running Back dropped
out of the game due to a long-term injury now you
need to quickly decide on a replacement for him,
you go through the list, scan the stats of the
player briefly and you connect with one of the
players because you like his attitude and take a
snap decision and add him to your roster. And it
could be just this one decision that could cost
you a lot of money.  An emotional decision may
even work for some but a data science-based
approach has a better chance of working and
provides a reliable method for gauging the
potential of the player in the long term. While
gut feelings would fluctuate from time to time
but Data based approach based on fantasy football
stats is tried and tested and would result in a
better roster most of the time. 
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Many league leaders have realized the value
addition provided by employing data science in
the decision-making process and the fantasy
football team has relatively performed better
over the course of the season and even amounted
to substantial winning as well with an almost
unbeatable system. 
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Here one could even argue that the knowledge you
have gained over time by tracking every sports
event and studying the stats in depth can also
result in a win, I wouldn't argue with you
because after all we are not focused on winning
once but to come up with a more upgraded system
of selection of players that would consistently
deliver results rather than having a lucky
hunch.  Now coming on to the next part of the
process, which method to adopt for selecting the
fantasy football roster, some track past player
performance but adopting a predictive approach
would be better where you would be able to rank
the players according to how they would perform
on the field. This method is called propensity
score matching. 
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Create Data Points. While the performance in the
current season could offer some insight about the
player but it would lack depth and data points
that could truly be relied upon while decision
making. We need to move beyond the current season
is the key, factor in the results of other NFL
players who were in an identical situation.
Suppose we want to know more about a veteran
player who ran 1,200 yards in his 5th season we
would not just factor in his stats but also of
other age-appropriate running backs like him.
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The main aim is to create more relevant data
points that could serve as a yardstick for his
future performance.  Suppose the player is a
rookie and has just played six to seven matches
so far, we now have a limited amount of data to
work with. Even if we compare the current season
no definitive predictions can be made in such a
case based on his data alone. Thus, here we would
compare his six to seven games to another rookie
of similar position let say our main player was a
quarterback. We will compare his stats with a
rookie quarterback that had six games in the
season and then we would see how his performance
was next year. Here you need to keep in mind the
rules of the league as well.  Relying on Data
science is just about having an edge over
opponents who are making a decision solely based
on emotions and intuitions. It would even help
you make a decision independent of your biases
and separate emotions from the game as well. 
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While such a method should give you results but
there are other methods as well that can help in
selecting a better roster- Linear Regression,
Random Forest and Neural Network  There are so
many factors that can affect players' performance
like health, weather if you include that in your
football data analysis as well, it would give you
a more robust solution. The only way to get
access to such comprehensive fantasy football
data would be to either do it manually or to get
in touch with sports data providers, who are
essentially football data companies, who can give
you access to historical and live data. Data
Sports Group has established itself in this
category by providing raw sports data services.
With fast delivery of real-time data and decades
of historical data combined with Artificial
Intelligence (AI) and automated machine learning
models improve your Football Fantasy League.
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Contact US

• Emai -sales_at_datasportsgroup.com
• Phone - 1 [phone]
• Address - 2600 Kinmere Dr
• City Gastonia
• State - North Carolina
• PIN 28056
• Country - USA