Big Data and AI Moulding Premier Leagues future

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Big Data and AI Moulding Premier League's future

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The English Premier League is considered as the
most competitive top tier league. The matches are
so neck to neck, that the teams are looking for
the slightest chance the opponent gives that
would give them the upper hand.  This slight
chance can be created by teams, by shaking hands
with the scientific advancement of Premier League
data analysis. The exemplary innovations in the
field have led to so many upgrades in the Premier
League, with respect to player signings, team
building, performance analysis and most
importantly, strategy generation. Big data and AI
are two key areas which can help in formation of
new tactics for a team. But there was a time when
we did not have these technologies.
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Time before big data and AI tech Before the age
of computers and mobiles began, there was no
other way to do the Premier League analytics,
other than a pen and paper. The team coaches and
managers used to be on the side lines, noting
each and every key step taken by the opponent,
scribbling through pages and crunching numbers.
These handwritten pointers were then discussed in
the training sessions and players were given
advice accordingly. But an upgrade to this, came
the era of DVDs and match recordings. This made
things quite easier for the managers and players
to work on themselves look clearly at the
mistakes they are making on the pitch and rectify
them. Still, these things werent enough to get
proper information if a team wanted to sign a new
player. The decision-makers gut feeling was the
only direction the team had. This led to some of
the greatest signings, but many disastrous ones
as well.
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Shaping the EPL with Big Data and AIThe teams
are using Premier League data to help them
understand their opponents better, and
accordingly make adjustments in their squad. An
example of the use of big data and AI is done by
Croatias data analyst, Marc Rochon. He analyzed
each and every set piece England had taken, with
the type of shots every baller prefers, and
marked all the danger zones while the set pieces
were taken. This thing helped Croatia to block
Englands set pieces and managed to hold them
back from scoring.
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These programming wonders have helped the
Premier League teams to prepare a strategy by
giving those data about how a team makes a
counter-attack, how many crosses are being made,
whether they prefer high passes or grounded ones
and the areas where the opponents are weak. These
software programs use spatial and optical Premier
League data from the past matches to deduce these
numbers.
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Use of spatial data Spatial data is an important
part which is deduced by the AI software
programs. It is a helping hand to the Premier
League teams. According to Aaron Briggs, the
performance data analyst of Manchester City, an
individuals involvement in the game is very
less, around 2 of the total time, and spatial
data is the key, as it helps us to see the rest
98 of the players performance, that no one is
aware of. In addition to Manchester City, The
Reds also use big data and AI for Premier League
analytics, which indicates that the future of the
sport will go hand in hand with science.
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Big data and AI in fantasy EPL There are many
people who play fantasy EPL, not just as a game,
but as a source to earn big prizes and money.
Data analysis helps them in the same way it helps
the teams. Fantasy Premier League data analysis
helps players select the best players for their
team, and they can eventually win. One can easily
note down stats from the fantasy Premier League
API, and you can also run analysis on all the
English teams. In addition to this, a bit of
programming can help you pick the team that can
give you optimum performance as well as the best
results.
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AI and Big Data have brought about a
revolutionary shift in the Premier League over
the years. The pen paper model is now long
forgotten, as coaches and teams now are highly
dependent on big data and data analytics for
decision making. Thus, creating a need for
reliable and trustworthy sports data providers
like Data Sports Group. With in depth player and
team statistics readily available at one place,
no need to rely on multiple vendors to fulfill
your data needs. With a single API, engage your
Premier League fan base with minute-by-minute
data and even keep the option of expansion in
mind and check out the complete range of
offerings by Data Sports Group.
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