1. -- Mohammed Ayub

2. References Sports Data Mining- Springer by Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen http://dataminingsoccer.com/en/data-download/ - Historical Soccer Dataset. http://dataminingsoccer.com/en/data-download/ http://www.sloansportsconference.com – MIT Slogan Sports Analytics Conference http://www.sloansportsconference.com https://www.acmilan.com/es/club/milan_lab - AC Milan Lab https://www.acmilan.com/es/club/milan_lab http://www.clubmilan.net/?cat=2&subcat=2&details=6 – AC Milan Lab Working http://www.clubmilan.net/?cat=2&subcat=2&details=6 http://www.zdnet.com/ac-milan-the-high-tech-giants-of-european- football-3040145126/ - January 2004, ZD Nethttp://www.zdnet.com/ac-milan-the-high-tech-giants-of-european- football-3040145126/ https://www.youtube.com/watch?v=F8TtbVpZVYE&hd=1 - Demonstrating the working of Milan Lab http://users.cis.fiu.edu/~chens/PDF/ICDE05.pdf - Paper on SoccerQ video retrival software. https://www.youtube.com/watch?v=F8TtbVpZVYE&hd=1 http://users.cis.fiu.edu/~chens/PDF/ICDE05.pdf

3. Why Focus on Sports Industry..?? Vast amount of data collected over time for Players, Teams, Club. Very less Preprocessing required. Maintain Competitive environment. Multi Billion dollar Industry. http://www.wildkingdumb.com/2013/09/blog-post.html

4. Evolution of Relationship between Sports and Sports Data No Relationship Domain Experts + Gut Feeling Domain Experts + Historical Data Use of Statistics for Decision Making Use of Data Mining for Decision Making Hmm http://blog.zopim.com/2013/11/28/evolution-sale/

5. A Few Success Stories of Data Mining in Sports Billy Beane’s Oakland Athletics (A’s) – nearly defeats New york Yankees in 2001 –using “Sabermetrics” Boston Red sox Wining two World Champions(2004 and 2007) after a 86 year gap. Ukraine’s Kiev Dynamo wins Union of European Football Associations (UEFA) Cup in 1975 and 1986. AC Milan reduces player injuries.

6. Problem with Statistics In Baseball – metrics such as Batting Average, Earned Run Average (ERA). – Refined Formula’s by James – Runs Created = ((Hits + Walks) * ΣBases) / (At-Bats + Walks) – ERA = (Earned Runs Allowed * 9) / IP In American Football –No of Receptions, Yards per carry. Basket ball – Rebound Statistic, Field goals Percentage

7. Prediction Player Injury to increase Player Downtime AC Milan’s success story behind a healthy team. Jean-Pierre Meersseman AC Milan Lab www.acmilan.com http://www.theguardian.com/football/2013/feb/16/milan-lab-premier-league

8. Computer Associates (Brightstor, CleverPath and eTrust software) developed an analysis software. Supervised Classification method- Neural Networks is used to predict the Injuries. Unisys system - gathers physical and mental player state with help of AMD Hardware. Information is fed into an analysis software developed by CA and analyzed using PAS(Predictive analysis Server).

9. Data set consists of Injury and Recovery History, Diet, Performance, Biochemical and Skeletal statistics. 91% reduction in player injury rates. Reduced 41 muscle injuries to just 2-3 for three consecutive years. Helps in player selection, organization, and player trade during transfer season.

10. https://www.acmilan.com/it/news/show_photo/923/30734

11. THANK YOU..!!! Questions..???