6 - Asmae Toumi, Tony ElHabr, Marschall Furman, and Sydney Robinson, Weighted Assessment of Defender Effectiveness (Big Data Bowl WINNERS!)
FEB 23, 202164 MIN
6 - Asmae Toumi, Tony ElHabr, Marschall Furman, and Sydney Robinson, Weighted Assessment of Defender Effectiveness (Big Data Bowl WINNERS!)
FEB 23, 202164 MIN
Description
<p>In this episode, I was joined by the winners of the Big Data Bowl 2021, although we recorded this well before the results were announced. We talked about their project called <strong>Weighted Assessment of Defender Effectiveness </strong>which uses tracking data to allocate credit to individual defenders in coverage on pass plays. We touch on what it was like to work on a data project with others virtually during a pandemic before going deep on methods for defensive target probability over expectation (dTPOE) and defensive catch probability over expectation (dCPOE), and ideas for credit allocation. </p>
<p>Their write up is here: <a href="https://www.kaggle.com/asmaetoumi/weighted-assessment-of-defender-effectiveness">https://www.kaggle.com/asmaetoumi/weighted-assessment-of-defender-effectiveness</a></p>
<p>You can find the guests on twitter!</p>
<ul>
<li><strong>Tony ElHabr</strong>: <a href="https://twitter.com/TonyElHabr">@TonyElHabr</a></li>
<li><strong>Marschall Furman</strong>: <a href="https://twitter.com/mlfurman3">@mlfurman3</a></li>
<li><strong>Asmae Toumi</strong>: <a href="https://twitter.com/asmae_toumi">@asmae_toumi</a></li>
<li><strong>Sydney Robinson</strong>: <a href="https://twitter.com/syd_rob25">@syd_rob25</a></li>
</ul>
