The important role of Data Analytics in Football Club signings - PowerPoint PPT Presentation

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The important role of Data Analytics in Football Club signings

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Football is not just a game about running on the pitch with a ball and tossing it in the nets, it is also about how the team is being managed, the players are being recruited and what tactics will be used on the pitch. Earlier, all of these things were done by pure intuition and gut feeling, until football was introduced with data analytics. Data analytics in football has revolutionized the way things run in the sport. It was said that football is a fluid game and all the data cannot be calculated or be jotted down. But the advancements in football data analytics have changed the way a player is analyzed. There are many of these aspects that help teams make a better decision on signing a new player. Let’s dive into the ways in which data analysis has helped in football. – PowerPoint PPT presentation

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Title: The important role of Data Analytics in Football Club signings


1
The important role of Data Analytics in Football
Club signings
  • https//datasportsgroup.com/

2
Football is not just a game about running on the
pitch with a ball and tossing it in the nets, it
is also about how the team is being managed, the
players are being recruited and what tactics will
be used on the pitch. Earlier, all of these
things were done by pure intuition and gut
feeling, until football was introduced with data
analytics. Data analytics in football has
revolutionized the way things run in the sport.
It was said that football is a fluid game and all
the data cannot be calculated or be jotted down.
But the advancements in football data analytics
have changed the way a player is analyzed. There
are many of these aspects that help teams make a
better decision on signing a new player. Lets
dive into the ways in which data analysis has
helped in football.
3
Shortlisting of players If a club thinks that
they need a new signing, they will have a list of
qualities that they lack right now, and might
need in their new signing. With the help of data,
the teams can directly get a list of in-game
videos and stats of the players matching their
requirements. This will give the team manager a
wider aspect and stats to judge the quality of a
player. The players are given rating on the basis
of their overall performances by many recruitment
fields. The clubs can have the chance to see
whether the player will increase the strength of
the whole team or he wouldnt fit the squad. This
thing also helps players from lower-level clubs
to be highlighted by their performance.
4
New techniques used in the field The most
important skill in the game of football is
passing, but there were no tools in football data
analytics earlier which can give stats about this
skill. After a lot of advancements, this new tool
has helped many teams get valuable players. If we
look at Manchester Citys last few signings for
an example, they have not failed to get an
attacker that will shoot the ball behind the
bars. Kevin De Bryune, Raheem Sterling and Leroy
Sané are some examples. Even Liverpool has
benefitted from this tool that evaluates the
passing techniques.
5
In furtherance of that, FC Barcelonas lead data
scientist, Javier Fernandez, said that there was
also a need to find which players gave more space
to pass, and how. So, the data scientists started
their work and found a way to tackle this problem
with new tools. For instance, they found out that
Barcelonas star player Lionel Messi manages to
create more space simply by standing and jogging.
These tools will help teams prepare a better
strategy for their games.
6
Machine learning Machine learning has made some
really impeccable ways to help a team sign a
player according to the teams needs. It is one
of the most important part of data analytics in
football. With the help of machine learning, it
is not possible to track player movements in the
field and the area a certain player covers while
playing. It has a great value in recruiting new
players. It can help the managers to see if the
players in-game pattern matches with your own
team strategy, and if he will be compatible with
the teams tactics. 
7
Ghosting In addition to that, AI in football has
made a tool, or a technique named as ghosting.
The algorithms, used in the ghosting feature,
calculate what kind of action a player will take
in a certain situation. There are certain
situations when the opponent is in his weak spot,
and that is the perfect time for you to strike
your chance. In training sessions, these are the
chances data analytics in football will let you
know, and you can then figure out a strategy for
the next time you are up against that specific
team or player. 
8
Ghosting can be used when a team is preparing to
sign a new player. It can pick the targeted
player and place it in the team, and then give
statistics like points added per season, change
in teams ability or how the team will perform
with that player in specific situations.
Everything that sounds so complicated, has come
true with the help of soccer football
analytics. Football data analytics has made
things really easy for teams to sign a new
player. These stats when mixed with the
experience and gut feeling of an experienced
manager can lead to a successful and powerhouse
of a team. We at Data Sports Group provide
statistics of each and every game of different
sports. We provide data of 50 different sports,
which is verified and quality data. Visit our
website to know more about data analytics of
different sports.
9
Contact US
  • Emai -sales_at_datasportsgroup.com
  • Phone - 1 (704) 964-6859
  • Address - 2600 Kinmere Dr
  • City Gastonia
  • State - North Carolina
  • PIN 28056
  • Country - USA
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