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Gracenote Confidential
1 Gracenote Confidential
Projecting the Olympic Games: The Virtual Medal Table
Gracenote Confidential 2
Gracenote
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sports data company
We power the world’s top media
publishers, CE manufacturers,
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federations and pay TV operators
C o m p a n y O v e r v i e w
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planet, powering billion dollar platforms and services
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Gracenote Confidential 4 Gracenote Confidential
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Prediction
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Projecting Olympic Medals
○ Economic Factors
○ Expertise
○ Results data
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Economic Factors
○ Needs to include previous Olympic performance
○ Static
○ No information on who wins medals
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Expertise
○ Available only just before the Olympic Games
○ Static
○ Potentially subject to recency bias
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Results
○ More information
○ Dynamic
○ Allocates medals
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Predicting Olympic medals using data
○ Relative Medal Table
○ Virtual Medal Table
○ Ranking methodology
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Virtual Medal Table 1.0
○ Developed in 2010
○ Published by media
○ Uses weighted results data
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Virtual Medal Table 1.0
○ All significant events
○ Four year time period
○ Result
○ Competition importance
○ Time
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Virtual Medal Table 1.0 – how did it perform?
○ 54% of medals correct
○ 22% of gold medals correct
○ 78% of medallists in top-8
○ 15 of top-20 NOCs within 4 medals
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Virtual Medal Table 1.0 – how did it perform?
○ 89% of all NOCs within 4 medals
○ Predicted ranking highly correlated
○ More accurate than econ models
○ Comparable with Sports Illustrated
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Virtual Medal Table improvements
○ Adding home advantage
○ Taking account of margins
○ Personal bests
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Virtual Medal Table 2016
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Virtual Medal Table 2016 - Insights
○ Best Games for the Netherlands & New Zealand
○ 25 medals for Korea for 8th successive Olympics
○ Asia to continue its rise
○ Four gold medals for Simone Biles
○ Most GBR medals in swimming since 1908
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Application
○ Media
○ Sports organisations
○ Anti-doping
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Room for further improvement
○ Generic model
○ Subjective weightings
○ Probabilities not possible
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What’s next?
○ Rio 2016
○ Ranking methodologies
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Thanks for listening
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