Principal Component Analysis and surfers performance

I had access to surfing data from surf-stats.com, a site that collects data for fantasy surfing.  It contains average scores for 55 surfers in the 2014 World Surfing League under different conditions: wind, wave size, surf break, weather and more. Scores are continuous, varying from 0 to 20.

This is how the WSL scoring works in more detail: Continue reading

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[VIDEO] The Math Behind Basketball

This is an interesting talk by Rajiv Maheswaran, Professor at the University of Southern California’s Computer Science Department.

He talks about capturing the massive amount of data that happens during a basketball game and using machine learning to understand complex events like “post ups” and “pick and rolls”. The machine can now see the game with the eyes of a coach.

Mind blown.

Who is the next Rugby League player to follow Jarryd Hayne to the NFL according to the data?

Former Australian Rugby League player Jarryd Hayne has become the story of the NFL pre season playing for the San Francisco 49ers. After 2 games, Hayne is second in the league in rushing yards (117) and leads the 49ers in average yards per punt return (21.6).

Are there other Rugby League players capable of causing the same impact in the NFL? If so, who are they? Who should NFL recruiters keep an eye on? Continue reading