slide1
Download
Skip this Video
Download Presentation
Knowledge Management for UEFA Champions League

Loading in 2 Seconds...

play fullscreen
1 / 31

Knowledge Management for UEFA Champions League - PowerPoint PPT Presentation


  • 212 Views
  • Uploaded on

Knowledge Management for UEFA Champions League. By Harsha Gunnam Hetal Mehta Nargis Memon Manish Wadhwa. Individual Contributions. Objectives. Basic Findings. Interesting Findings. Conclusion. Future Work. Process. Sources. Introduction. Agenda. Objectives. Basic Findings.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Knowledge Management for UEFA Champions League' - arsenio-marquez


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1

Knowledge Management forUEFA Champions League

By

Harsha Gunnam

Hetal Mehta

Nargis Memon

Manish Wadhwa

slide2

Individual Contributions

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

slide3

Agenda

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

slide4

Introduction

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • UEFA - The governing body of football on the continent of Europe
  • Champions League –
    • Started in 1992
    • Most Prestigious Trophy in the Sport
    • Current Champion: AC Milan
  • Format –
slide5

Research Objectives

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

slide6

Literature Review

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • Papahristodoulou, Christos, "Team Performance in UEFA Champions League 2005-06." Munich Personal RePEc Archive (2006) Unpublished, Paper #138
  • Barros, Carlos Pestana, Leach, Stephanie, “Performance evaluation of the English Premier Football League with data envelopment analysis.” Applied Economics Vol. 38 No. 12 (2006): 1449-1458
  • http://www.betinf.com/champ.htm
    • Sports Betting Information
  • http://www.betstudy.com/soccer-stats/c/europe/uefa-champions-league/
    • Online Betting Guide
  • http://en.uclpredictor.uefa.com/
    • Online Predictor Game
slide7

Research Design

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

Coefficient Analysis

UEFA Data Source

Head-to-Head Probability

MySQL

RankingAnalysis

Data Extraction

Array of Winners

Top 3 Leagues

Excel

Home & Away Advantage

Top 12 Teams

slide8

Data Sources

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • UEFA Data Source
      • http://www.xs4all.nl/~kassiesa/bert/uefa/
  • Data collected over 6 seasons
      • 2002-2008
  • Attributes -
slide9

Basic Findings

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

Coefficient Analysis

slide10

Coefficient Analysis

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • Standard UEFA Calculations
  • Country Coefficient = Number of Points/Number of Teams
  • Calculation Accuracy: 100%
  • Team Coefficient = Number of Points + 33% of Country Coefficient
  • Calculation Accuracy: 100%
slide11

Basic Findings

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

Ranking Analysis

slide12

Predicted Ranking

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • Accuracy: 100%
  • Years Considered: 2003-2008
  • Country Ranking = Summation of 5 years of Country Coefficients
  • Team Ranking = Summation of 5 years of Team Coefficients
slide13

Ranking Analysis - Leagues

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • Observations:
    • Spain, England and Italy: Top three leagues for the past six seasons
    • Romania: Rapid Improvement
slide14

Top Leagues & Teams

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

slide15

Ranking Analysis - Teams

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • Observations:
    • Consistent Team: FC Barcelona
    • Rapid Improvement: Chelsea
slide16

Interesting Findings

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

Probability Analysis

slide17

Head-to-Head Probability Analysis

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • Technique:
    • Naive Bayes
  • Observations:
    • Strength: 6 Teams
    • Weakness: FC Barcelona
slide18

Head-to-Head Probability Testing

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • Technique:
    • Comparison of the signs of the difference between the win probability and the lose probability
    • Matched signs – Correct Prediction
    • Different signs – Incorrect Prediction
  • Assumption
    • Difference of zero (win-loss) favors both ways
  • Accuracy: 80%
slide19

Interesting Findings

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

Home-Away Analysis

slide20

Home – Away Analysis

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • Technique:
    • Mapped advantage on the basis of strength.
    • Strength level decided by the difference in goals scored
      • Very Strong – Win with a difference of 2 or more goals
      • Strong – Win with a difference of 1 goal
      • Weak – Draw or lose with a difference of 1 goal
      • Very Weak – Lose with a difference of 2 or more goals
slide21

Home – Away Analysis

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • Observations:
    • Strongest Home Team: AC Milan
    • Weakest Home Team: Real Madrid
    • Strongest Visiting Team: Liverpool
    • Weakest Visiting Team: Chelsea
slide22

Interesting Findings

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

Winners Analysis

slide23

Prediction of Winners

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • Technique:
    • Assigned values to strength levels
    • Aggregated the values of the strength levels
    • Team Win Probability = (Aggregated Strength Value * Probability) / Number of Matches
slide24

Testing of Final Prediction

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

  • Dataset considered – 2003-2007
  • Accuracy:
    • Home Win: 90%
    • Away Win: 100%
slide25

Conclusion

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

slide26

Applications & Future Work

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

Applications

Future Work

slide27

References

Objectives

Basic Findings

Interesting Findings

Future Work

Conclusion

Process

Sources

Introduction

  • Papahristodoulou, Christos, "Team Performance in UEFA Champions League 2005-06." Munich Personal RePEc Archive (2006) Unpublished, Paper #138
  • Barros, Carlos Pestana, Leach, Stephanie, “Performance evaluation of the English Premier Football League with data envelopment analysis.” Applied Economics Vol. 38 No. 12 (2006): 1449-1458
  • Websites:
    • http://www.betinf.com/champ.htm
    • http://www.betstudy.com/soccer-stats/c/europe/uefa-champions-league/
    • http://en.uclpredictor.uefa.com/
    • http://www.uefa.com/competitions/ucl/index.html
    • http://en.wikipedia.org/wiki/Uefa_Champions_League
    • http://en.wikipedia.org/wiki/Bayes_theorem
    • http://www.xs4all.nl/~kassiesa/bert/uefa/
    • http://www.soccerbase.com/
    • http://europeancups.altervista.org/
slide28

Thank You

Objectives

Basic Findings

Interesting Findings

Future Work

Conclusion

Process

Sources

Introduction

Thank You

Dr. Hsinchun Chen

Yulei Zhang (Gavin)

Yan Dang (Mandy)

slide29

Questions

Objectives

Basic Findings

Interesting Findings

Future Work

Conclusion

Process

Sources

Introduction

slide30

Head-to-Head Probability Analysis

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

slide31

Head-to-Head Probability Analysis

Objectives

Basic Findings

Interesting Findings

Conclusion

Future Work

Process

Sources

Introduction

FC Barcelona Vs Others

Liverpool Vs Others

ad