Presentation about Role of Data Analytics & AI in Football AI & Data Analytics have enabled faster & better decision making in the world of sports such as football. AI-powered algorithms can derive actionable insights that add even greater value to the players & coaching staff. They have unlocked many use cases that will be paramount for everyone involved in this beautiful game.

1. ROLE OF DATA ANALYTICS
& AI IN FOOTBALL
Under The Guidance Of:
Dr. Bam Bahadur Sinha &
Dr. Uma Sheshadri
Submitted By:
TERMINALX 1.0

2. MINIMIZES INJURY
& PREDICTING &
IMPROVING
RECOVERY TIME
01
IMPROVING &
BOOSTING
PLAYING SKILLS OF
PLAYER BY GAME
AWARENESS
02
BETTERVIEWING
EXPERIENCE FOR
FANS
ETC.
03

3. DECIDING THE PRESSURE INSIDE THE FOOTBALL &
ALL IT’S MANUFACTURING TO IMPROVE PLAYER’S
GAME

4. MOVEMENT OF BODY IS SUCH A WAY TO
REDUCE AIR RESISTANCE AND MINIMIZE
LEVEL OF INJURY

5. THE ANGLE WITH WHICH BALL SHOULD BE
KICKED IN ORDER TO PROVIDE MAX. SPEED
AND CORRECT DIRECTION

6. GAME WINNING STRATEGIES ARE
MADE WITH THE HELP OF DATA
ANALYTICS & AI

7. WHICH POSITION PLAYERS HAVE HOW MANY
PASSING OPTIONS ARE CHECKED WITH THE HELP
OF AI TO IMPROVE TEAMS GAMES

8. HERE IS THE DATA OF PLAYERS OF TEAM BARCELONA
WHICH SHOWS THE ABILITIES OF PLAYERS AT WHICH
THEY CAN GIVE THEIR BEST

9. SPORTS FRANCHISE ARE INCREASINGLY
USING CUSTOMER DATA TO TARGET PROFIT

10. RISE OF AI & DATA ANALYTICS
•In recent years,AI & Machine Learning have seen a lot of
traction in the footballing world.
•Both of them came to be associated with football for predicting
outcomes of matches
•By analyzing big data, machine learning & algorithms have the
capability to predict the success & failure of football games

11. SELECTION OF RIGHT TEAM
• Let us go with an example---
• A German based AI company help a Bundesliga team win matches by
selecting right players.The company achieved this by building an AI tool
that extracted insights from unstructured data & putting them in a single
dashboard.IBM’s WATSON AI was leveraged by the company for
providing a deep perspective on players.Watson was trained to
understand scouting reports & draw out the most relevant details.

12. CONCLUSION
• AI & Data Analytics have enabled faster & better decision making in the
world of sports such as football.AI-powered algorithms can derive
actionable insights that add even greater value to the players & coaching
staff.They have unlocked many use cases that will be paramount for
everyone involved in this beautiful game.
• The future seems bright for both of them along with machine learning in
football. It will be exciting to see the extent to which it is leveraged by
teams to devise match winning scenarios.

13. •TERMINALX 1.0 MEMBERS-
ABHISHEK DUBEY(20BCS002) HARSH RAWAT(20BCS50)
ANMOL SINGH(20BCS018) HARSHIT SAXENA(20BCS053)
ARYAN TEJIYAN(20BCS021) SHUBH BINDAL(20BCS121)
GAURAV AGGARWAL(20BCS47) SIDDHANT DIXIT(20BCS123)