Transcript Mohammed`s presentation slides

-- Mohammed Ayub
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-europeanfootball-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
Domain Experts +
Gut Feeling
Domain Experts
+ Historical Data
http://blog.zopim.com/2013/11/28/evolution-sale/
Use of Statistics for
Decision Making
Use of Data Mining
for Decision Making
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.
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
Prediction Player Injury to increase
Player Downtime
• AC Milan’s success story behind a healthy
team.
Jean-Pierre Meersseman
http://www.theguardian.com/football/2013/feb/16/milan-lab-premier-league
AC Milan Lab
www.acmilan.com
• 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.
https://www.acmilan.com/it/news/show_photo/923/30734
THANK YOU ..!!!
Questions..???