Uploaded on May 20, 2021
Data analytics has emerged as an unconventional weapon in the NFL. This has revolutionized the game. Given the enormous benefits of data analytics, NFL teams have begun to adopt analytics in decision making.
Adoption of data analytics in NFL and how it revolutionized the sports
ADOPTION OF DATA
ANALYTICS IN NFL AND
HOW IT REVOLUTIONIZED
THE SPORTS
https://datasportsgroup.com/
Data analytics has revolutionized the sports industry for some time now. The
decision-making process has seen a shift, ever since the Oakland Athletics
baseball team put data analytics into action in 2002, proving to the world how
data analytics could contribute to the success of a team.
Moneyball also set a great example for the world to see in practice how Billy
Beane took advantage of analytics and led the team to a win. Looking at the huge
benefits of data analytics NFL teams adopted analytics in decision making as well
as have seen some tremendous results. While some coaches have remained
reluctant at trying their hand with new technology and giving up on the
conventional method as they see technology as more of a threat to decision-
making power.
Advanced tech has become a way
of life nowadays as humans move
towards a more machine-based
world. We are taking advantage
of the growth to make efficient
and effective decisions daily for
example companies rely on AI
for screening candidates,
evaluating job skills, and shaping
hiring practices all around the
world.
AI is mostly popular for giving an unbiased opinion. Hence the use of AI, data
analytics, and computer vision has been applied to sports as well where NFL
statistics databases could be used to make complex algorithms to assess a player’s
skill level, their talent, and their performance before they decide on investing in
the player. First to adopt analytic in NFL was Philadelphia Eagles in the mid-
1990s which was mostly used at a very basic level until its effect and advantages
could be realized and put into play by coaching staff. C
urrently, analytics has given Baltimore Ravens and San Francisco 49ers a huge
thrust forward in securing the playoff seeds in their respective conferences. While
even the most conservative teams have now realized the competitive advantage
data analytic could offer them. New York Giants General Manager Dave Gettleman
relied on modern tech for scouting, picking the best talent for the team. New
Dallas Cowboys coach Mike McCarthy was also seen revamping their football
technology department to offer more support.
Later we also saw Boston Red
Sox employ DataRobot to track
player’s activity on and off field,
with the combined power of AI
and data analytics in football,
club’s could analyze what the
player is doing wrong in
positions, improve their
defensive stance and roster
setup which could ultimately
result in more wins.
Though we need to steer clear of complete reliance on analytics for everything as
an overdependence would also not result in a win but a blunder. A careful
combination of data and human intelligence is necessary to create changes that
could lead to a win. Ravens, Baltimore Titans have paid the price of heavy reliance
and saw their season end early as well with flawed confidence gained by the use
of just analytics. What analytics has done to the field of finance, marketing, and
other industries though paints a picture of a better future in the NFL and how
football stats analysis would undergo transformation but even these fields have
suffered certain setbacks with non-optimal use of analytics.
Making data-driven insights creates a need for high quality and consistent data of
players and team to be made available at all times this is where data providers
come in handy, Data Sports Group have excelled in this field with a trustworthy
and complete set of data from over 50 sports and 5000 competitions including
not just NFL stats data but Soccer, Tennis, Rugby, and others as well has made it
easy for decision-makers to shift to data analytics and derive decisions after
careful analysis. Artificial Intelligence (AI) and automated machine learning
models as well as live coverage offer the ability to quick decision-making backed
by predictive and analytical models based on historical data that could help with
new insights and bring in a different chain of thought overall. While analytics is
here to stay, all that is needed is for you to get on the bandwagon and give it a real
shot by trying out DSG’s services and register for a free trial.
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