Evolution of Data Mining in Sports Industry
Relationship between sports and data has evolved over time, leading to success stories in sports analytics. Sports industry involves vast data collection for players, teams, and clubs, enabling decision-making based on statistics and historical data. Successful implementations in baseball, football, and basketball showcase the impact of data mining on player performance, injury prevention, and team success. Explore the intersection of sports and data analytics through real-world examples and insights from industry experts.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
References Sports Data Mining- Springer by Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen http://dataminingsoccer.com/en/data-download/ - Historical Soccer Dataset. http://www.sloansportsconference.com MIT Slogan Sports Analytics Conference https://www.acmilan.com/es/club/milan_lab - AC Milan Lab http://www.clubmilan.net/?cat=2&subcat=2&details=6 AC Milan Lab Working http://www.zdnet.com/ac-milan-the-high-tech-giants-of-european- football-3040145126/ - January 2004, ZD Net 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.
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
Evolution of Relationship between Sports and Sports Data Hmm No Relationship Use of Statistics for Decision Making Domain Experts + Gut Feeling Domain Experts + Historical Data Use of Data Mining for Decision Making http://blog.zopim.com/2013/11/28/evolution-sale/
A Few Success Stories of Data Mining in Sports Billy Beane sOakland 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.
Problem with Statistics In Baseball metrics such as Batting Average, Earned Run Average (ERA). Refined Formula s by James Runs Created = ((Hits + Walks) * Bases) / (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
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
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).
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.
THANK YOU ..!!! Questions..???
