Konstantinos Pelechrinis's guest appearances

Konstantinos Pelechrinis

Chilling With Charlie

With Aplomb

Josh Miller

Andrew Jones

David Carey

Ryan Davis

Aaron Schatz

Greg Matthews

Tim Howard

Frank Frigo

Ben Baldwin

Christie Aschwanden

Asmae Toumi

Andrew Mack

Sam Gregory

Daniel Hoffman

Richard Little

OwlTail

Konstantinos Pelechrinis joined the University of Pittsburgh in Fall 2010, where he is an Associate Professor at the School of Computing and Information. Kostas leads the Network Data Science Lab. He has worked on papers across the NFL and NBA and has taken an interest in the development of the next generation of sports analysts. Hear about all this and more on a cracking Chilling With Charlie.Podcasts cost money to make, equipment, software and the like. Thankfully Betfair has sponsored this podcast which means I can just concentrate on getting fantastic guests!

Konstantinos Pelechrinis joined the University of Pittsburgh in Fall 2010, where he is an Associate Professor at the School of Computing and Information. Kostas leads the Network Data Science Lab. He has worked on papers across the NFL and NBA and has taken an interest in the development of the next generation of sports analysts. Hear about all this and more on a cracking Chilling With Charlie. Podcasts cost money to make, equipment, software and the like. Thankfully Betfair has sponsored this podcast which means I can just concentrate on getting fantastic guests!

Ep 29: Konstantinos Pelechrinis

Johan Cruyff used to insist that players only have the ball for ~ 3 minutes per game.  So what makes a player great is what they do the other 87 minutes without the ball, walking/jogging/sprinting/zigzagging into space.  While data analytics is not new to sports, it has largely been absent from the world’s most popular sport until the past 5-10 years.  In this episode, we had the privilege of chatting with Kostas Pelechrinis, an Associate Professor at the University of Pittsburgh’s School of Computing and Information where he leads the Network Data Science Lab.  Kostas along with co-author Wayne Winston, Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University, wrote a fascinating paper to determine which positions contribute more to winning AND are undervalued by the market.  In this effort, they combed through ~ 20,000 games from 11 European leagues over a period of 8 seasons, as well as, player ratings from @easportsfifa!  Tune in as we get into the history of data analytics in soccer dating back to late 70’s, the current state of data analytics and how/if technology can be used to have more and better data!  🗣You can read the paper in full, here (https://arxiv.org/pdf/1807.07536.pdf)  🗣🗣 Check out our 1st drop 👉🏽 D10S (https://eterno.boutique/collections/boutique)  ---   Support this podcast: https://podcasters.spotify.com/pod/show/eternoHQ/support

Johan Cruyff used to insist that players only have the ball for ~ 3 minutes per game. So what makes a player great is what they do the other 87 minutes without the ball, walking/jogging/sprinting/zigzagging into space. While data analytics is not new to sports, it has largely been absent from the world’s most popular sport until the past 5-10 years. In this episode, we had the privilege of chatting with Kostas Pelechrinis, an Associate Professor at the University of Pittsburgh’s School of Computing and Information where he leads the Network Data Science Lab. Kostas along with co-author Wayne Winston, Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University, wrote a fascinating paper to determine which positions contribute more to winning AND are undervalued by the market. In this effort, they combed through ~ 20,000 games from 11 European leagues over a period of 8 seasons, as well as, player ratings from <a href="https://www.instagram.com/easportsfifa/" rel="nofollow" target="_blank">@easportsfifa</a>! Tune in as we get into the history of data analytics in soccer dating back to late 70’s, the current state of data analytics and how/if technology can be used to have more and better data! 🗣You can read the paper in full, <a href="https://arxiv.org/pdf/1807.07536.pdf" rel="nofollow" target="_blank">here</a> (<a href="https://arxiv.org/pdf/1807.07536.pdf" rel="nofollow" target="_blank">https://arxiv.org/pdf/1807.07536.pdf</a>) 🗣🗣 Check out our 1st drop 👉🏽 <a href="https://eterno.boutique/collections/boutique" rel="nofollow" target="_blank">D10S</a> (<a href="https://eterno.boutique/collections/boutique" rel="nofollow" target="_blank">https://eterno.boutique/collections/boutique</a>) --- Support this podcast: <a href="https://podcasters.spotify.com/pod/show/eternoHQ/support" rel="payment nofollow" target="_blank">https://podcasters.spotify.com/pod/show/eternoHQ/support</a>

The Science of Winning: An Interview with Professor Konstantinos Pelechrinis