Analytics writers, coaches, and front office executives provide their unique perspectives on the current and future states of analytics for player evaluation and development in the NFL.
This talk provides lessons learned and key takeaways from the Data, Analytics, Technology and Athletics “DATA Bulls”, an applied data science project for undergraduate students built around sports analytics.
The first two times you hit a ball in a rally matter more to winning a point in tennis than all the shots that follow. Traditional tennis statistics focus on simple metrics such as first serve percentages and unforced errors. We identify how the point starts and ends but fail to acknowledge how many shots were struck. The most important metric in tennis has been hiding in plain sight for generations.
Bringing together the leading figures in sports analytics, business, and technology.