Data Mining Applied to Sports -- Mohammed Ayub References Sports Data Mining- Springer by Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen http:dataminingsoccer.comendata-download - Historical Soccer Dataset.
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Data Mining Applied to Sports -- Mohammed Ayub<br>
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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.<br>
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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<br>
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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/<br>
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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.<br>
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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<br>
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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<br>
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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).<br>
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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.<br>