Application of big data analytics in Sports

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Application of big data analytics in Sports

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Half of the fun in watching sports is in the
commentary and the insightful information that we
hear during the entire course of the match. It is
the reason why sports are so entertaining for the
viewers no matter who is playing and who wins!
These broadcasters have come a long way too in
terms of their analysis which was once just a
simple description of the events on the field has
now turned into data analytics-driven insights
which is what makes the games unique and builds
the interest of the audience  Off-field, big
data has become an important part of sports
almost inseparable because of the synergy both
create together. It has become the hook for the
audiences and the reason why some of the
broadcasters are competitively achieving better
results in the same market. 
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While the application of sports data analytics is
relatively new, the term itself has coined in the
1990s its popularity grew multifold as industries
across the world realized the true potential of
data analytics and the role it can play for
companies.  Since it was successfully adopted in
the sports industry as well athletes have relied
on it to enhance their performance, sports data
analytics companies use it to find innovative
ways to engage audiences and even use it to
evolve new ways of marketing and branding
strategies and guide sports organizations in a
better manner. 
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But what is the reason for big data analytics'
sudden growth and popularity across the sports
industry? What is its impact on the future of the
sports industry? Let's look at a few reasons
that have driven the importance of sports
analytics! Coaches have evolved the recruitment
process through data analytics 
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The players that join any professional sporting
team play an important role in defining the
future of the team, whether they would build the
image of the team, help them bring trophies home,
or be an icon, fans can relate to. This helps the
teams win championships as well as brings in the
right talent and sponsorship as well. With the
use of analytics athletes' performance could be
carefully scrutinized and a prediction model
could also be created which would tell the
coaches the real value of the player. 
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The real reason this is done is to weed out
overvalued players from the herd and hire the
right talent at the right cost to the team as was
done in the movie Moneyball which exposed the way
data analytics could be applied to baseball and
even help the teams win championships.  Later
soccer, cricket, football, and basketball all
adopted the techniques and tried to perfect them
as per the specific rules. Now while recruiting
the use of data analytics has become almost
indispensable. 
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Elevating the viewing experience True sports
fans would know how broadcasting has undergone a
revolution over a few decades. As we discussed in
the article above, Sports commentary has matured
from just calling out the names of the players to
offering compelling information about their past
performance and other relevant facts to the
game.  Broadcasters have been known to add
stats gurus behind the mike in the hopes that
viewers would enjoy the fact-rich experience.
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Next came graphical elements  While viewing
sports events just stating the numbers on the
screen became less and less appealing to the
audience so, with the use of big data analytics,
graphical elements were added to the screen to
break down complex stats for the end users in a
digestible and attractive manner.  A new way to
boost fan engagement Broadcasters and other
sports organizations are aware of the effect of
fan engagement and to improve it Big data became
the new tool at their disposal to increase
revenue. 
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Fantasy sports and Online Sports Betting have
become a profitable and easiest way to involve
fans outside of the field. With the use of
advanced technologies, Fantasy football is
carving a niche for itself it alone has 25
million active participants most of which are
based in the US. 
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Big data-driven gameplay strategies  For the
success of any sports team, strategizing has
become an important part of the preparation
process before any game. Using big data
analytics, the performance of athletes and teams
could be mapped out and studied in detail which
would reveal the weak areas of rival teams that
could be used to develop strategies accordingly.
This approach was actively applied by Liverpool
FC during their Premier League winning campaign a
few years back, with the use of data science they
devised strategies that would help them overcome
their opponents on the field.
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It is clear the applications of data analytics in
the field of sports are limitless and it is time
to be part of the big data analytics revolution
so that we can unlock the next phase of
development as well.  Data analytics could be
used to revolutionize sporting events and it is
clear with the way we measure an athlete's
performance by driving invaluable insights. You
can too do it all and more with Data Sports
Group, Get in touch for more details and get
access to live sports scores today.
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