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I was joined by Udit Ranasaria who was part of a team that worked on the Passing Value in Expectation project for the Big Data Bowl. They went deep into the tracking data and built physics-based models for ball and player trajectory to estimate passing value, for all possible passes - not just the ones that happened. We also opined on the state of public tracking data based sports analytics, and Udit touched on some exciting new projects in the works. You can find him on twitter @uditranasaria
Project: https://www.kaggle.com/dutta64/pave-the-way-for-nfl-passing-analytics
By Canzhi Ye5
1313 ratings
I was joined by Udit Ranasaria who was part of a team that worked on the Passing Value in Expectation project for the Big Data Bowl. They went deep into the tracking data and built physics-based models for ball and player trajectory to estimate passing value, for all possible passes - not just the ones that happened. We also opined on the state of public tracking data based sports analytics, and Udit touched on some exciting new projects in the works. You can find him on twitter @uditranasaria
Project: https://www.kaggle.com/dutta64/pave-the-way-for-nfl-passing-analytics

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