Football is a very dynamic and high paced game in which minutest detail may be the reason for a win or a loose, but the human eye sometimes fails to capture these small details. That’s where Artificial Intelligence (AI) comes into the picture. The study explores the unknown side of AI in the game of Football. The work is based on an exploratory study on the applications of AI in the game of Football.

1. Applications of Artificial
Intelligence in the Game
of Football: The Global
Perspective

2. Presented By
S. K. M Shadekul Islam - 191-15-12836
2
Presented To
Nasrin Akter
Lecturer
Department of CSE
Daffodil International University

3. Table of Contents
3
I. Abstract
II. Introduction
a) Objectives
b) Research Goal
c) Research Questions
III. Literature Review
IV. Research Methods
V. Main work of the paper
VI. Results/Findings
VII. Conclusion
VIII. Motivation after study of this paper

4. 4
Abstract
Football is a very dynamic and high paced game in which minutest detail may be
the reason for a win or a loose, but the human eye sometimes fails to capture
these small details.
That’s where Artificial Intelligence (AI) comes into the picture. The study explores
the unknown side of AI in the game of Football. The work is based on exploratory
study on the applications of AI in the game of Football.

5. 5
Introduction
Association football, more commonly known as simply football or soccer, is a
team sport played with a spherical ball between two teams of 11 players. It is
played by approximately 250 million players in over 200 countries and
dependencies, making it the world's most popular sport.
The game is played on a rectangular field called a pitch with a goal at each end.
The object of the game is to score more goals than the opposition by moving the
ball beyond the goal line into the opposing goal, usually within a time frame of 90
or more minutes.

6. 6
Literature Review
 A.C. Lapham & R.M. Bartlett (1995) found the important role that computer played in
development of experimental and theoretical sports biomechanics.
 McCabe, A., & Trevathan, J. (2008) pointed about the use of artificial intelligence for
prediction of sporting outcomes
 Novatchkov, H., & Baca, A (2013) have illustrated the potential of artificial
intelligence (AI) techniques in sports on the example of weight training.
 Xu, B. (2012) have investigated in prediction of Sports Performance based on Genetic
Algorithm and Artificial Neural Network.
 Rodriguez, J (2019) discussed the new environment released by the google brain
team known as the Google Research Football which is based on reinforcement
learning in which the agents learn to play the game by simply playing it.
 Kelly et.al (2017) investigated the recent FIFA announcement directing each team in
the tournament could bring two computer tablets to collect data, assess decisions,
and react to interactions on the field.
 Rematas et.al (2018) highlighted that using deep learning systems, researchers from
the University of Washington, Facebook, and Google created a system that can take
a YouTube soccer video and display it in three dimensions using Augmented Reality
(AR) devices or 3D viewers using AI and Hologram technologies.

7. 7
Research Methods
The work is based on exploratory study on the applications of AI in the game of
Football. The study tried to explore the various ways in which AI is applied in
present and can be applied in future in the game of football. The study has also
explored the limitations of using AI or any kind of machine interference in this
beautiful game. Finally, the study identified the scope of further study under this
topic.

8. 8
Main work of the paper
The current implementation of AI in football is at a very primary stage and football
perceives to be area of a very high potential for the development of AI. Our study
focuses on the current use of Artificial Intelligence in football which are mainly
unilateral in nature i.e. focuses on only one side for e.g. refereeing, management,
etc. Further studies may explore other many applications of AI in game of Football
that we all love and cherish.

9. 9
Results/Findings
 Findings: Overall, the study found that with the help of AI and other
varied technologies, teams are able to discover new potential and
achieve goals which were thought to be impossible before especially in
enhancing team competitiveness, decision making and better customer
experience. The technology is still immature and needs significant
improvement.
 Implications: The study implies AI has been highly beneficial to the game
of Football as a whole, but at the same time AI has not been completely
utilized as per its capabilities.
 Originality: The study talks about some unprecedented applications of
AI in football, and also talks about some unfamiliar limitations of AI.

10. 10
Motivation after study of this paper
Further studies may explore applications of AI in areas that combine two or more
sides simultaneously such as the application of AI to predict the best possible
playing 11 based on the physical as well as tactical attributes of the players and
the fixture difficulty of a match. In this way, AI can be used to predict the most
suitable lineup for the team and safeguarding the players against possible injuries
at the same time based on the need of the match and the qualities of the
opposition. Further studies may also involve other applications of technology and
not just AI such as Big Data, Game Theory, etc for the benefit of the game as a
whole.

11. Thanks!
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