Sinopsis
World's best dog interviews people that she finds interesting in sports analyticsSupport the pod and #fitzRoy https://www.patreon.com/roberto_bobertohttps://twitter.com/CharliePodcast
Episodios
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Ep 56 - #GrindingtheMocks Benjamin Robinson - NFL mock draft analysis
19/02/2020 Duración: 36minBenjamin Robinson collects and analyzes mock draft data to try to predict the outcome of the NFL Draft and to gain a better understanding of the draft process through data analysis. Follow along with his Grinding the Mocks project using the #GrindingtheMocks hashtag or website/shiny application: http://grindingthemocks.com.
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Ep 55 @MeghanMHall - Hockey writer, analyst, fan
11/02/2020 Duración: 29minMeghan Hall does amazing work utilising hockey data for fans through tutorials using #rstats. She also has created compelling visuals about the penalty kill and to help people answer if they should be pulling the keeper earlier. Check out her links below.https://hockey-graphs.com/author/meghanhall6/https://meghan.rbind.io/https://public.tableau.com/profile/balls.and.sticks#!/
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Ep 54 Caio Brighenti Big Data Bowl Finalist
07/02/2020 Duración: 35minCaio Brighenti, is a Detroit Lions fans, Caio has a fantastic lions edge newsletter which has a strong analytics driving it. Which you can sign up for herehttps://lionsedge.substack.com/He was also a finalist in the student competition for the big data bowl. You can read about his entry here.https://caiobrighenti.github.io/nfl-data-bowl.htmlHere we discuss how he got interested in analytics, his previous experiences analysing sports and an exciting idea he has for fourth down decision making. You can find him on twitter herehttps://twitter.com/CaioBrighenti2
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Ep 53 Thompson Bliss - Did so well as an NFL intern they had to give him a job
04/02/2020 Duración: 31minThompson Bliss has completed a masters in data science at the University of Columbia, he was also lucky enough to work with Michael Lopez at the NFL on a live win probability model. He has done so well the NFL just had to offer him a full time job. We discuss his journey into the analytics space, and some of the more interesting posts on his blog which you can check out herehttps://www.datawithbliss.com/
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Ep 52 NFL Big Data Bowl Winning Team
24/01/2020 Duración: 37minAfter the success of the first Big Data Bowl, the NFL came back and ran another, this time asking participants to predict the yards a running back will run at the moment of handoff using GPS and event level data. This competition, run on Kaggle was won by Philipp and Dmitry. We talk about their winning Kaggle entry, how they first got started entering Kaggle competitions and tips on doing data analysis. Check out their Kaggle profiles https://www.kaggle.com/dott1718https://www.kaggle.com/philippsinger
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Ep 51 - Charlie Gelman - Duke wrestling, football and intern our Ravens and BigLeagueAdvance
22/01/2020 Duración: 28minCharlie Gelman is in his final year at Duke University and already has hands on experience working for the wrestling team, the football team on the defensive end and was an honourable mention in the big data bowl. He has worked for the Ravens and Big League advance, you can check out his twitter handle @charliegelRead about just one of his cool projects belowhttps://t.co/NQ6rBuQaDC?amp=1Listen to the podcast to hear the rest :)
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Ep 50 Ryan Davis @rd11490 NBA Analytics and Visuals
15/01/2020 Duración: 26minRyan Davis provides some of the most interesting NBA analytics online, he hosts a site http://nbashotcharts.com/ where you can see visuals for shotcharts, RAPM and more. If you are interested in doing cool work like Ryan but don't know where to start, check out his handy github page full of tutorials. https://github.com/rd11490/NBA_TutorialsCheck out his twitter profile @rd1149 and as he says don't be afraid to reach out, one of the nicest people online!
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Ep 49 Ganesh viswanath-natraj Crypto
31/12/2019 Duración: 27minGanesh viswanath-natraj is an assistant professor at Warwick Business School, with research interests in crypto currencies. He will be talking about his research on stable coins, a class of crypto currencies that aim to solve the volatility problem by pegging to the US dollar. He will also talk about future challenges in blockchain, the rise of digital currencies, ICOs and potential opportunities for sports betters moving into the crypto asset space. For more details on the research, please see https://ganeshvnatraj.netlify.com
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Ep 47 - Andrew Patton - NBA data Visuals
29/12/2019 Duración: 36minAndrew Patton is a PhD student at Johns Hopkins University, he also happens to do some of the coolest NBA data visuals online and is a writer for fansided.Check out DARKO which is a player talent model built by @kmedvedhttps://apanalytics.shinyapps.io/DARKO/Check out some defense metricshttps://apanalytics.shinyapps.io/disruption/Check out Gravityhttps://apanalytics.shinyapps.io/Gravity/https://fansided.com/2019/07/22/nylon-calculus-visualizing-nba-shooting-gravity/Check out Load Managementhttps://fansided.com/2019/11/08/nylon-calculus-load-management/
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Ep 46 - Nik Oza - Director of Baseball Analytics
24/12/2019 Duración: 24minNik Oza used to work for the Dodgers, the Rays and the Hornets in the NBA. Now he is Director of Baseball Analytics at Big League AdvanceHere we talk about his sports analytics journey from Georgetown. Big League Advance is also on the hunt for talent, so why not apply, you never know!https://bigleagueadvance.com/careers/See Niks profile to see all the cool stuff he is interested and feel free to reach out on linkedin or twitterhttps://twitter.com/NikOza2https://www.linkedin.com/in/nikoza
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Ep 45 - Aaron Caldwell Problems in Sports Science and how to fix them
20/12/2019 Duración: 34minLearn more about Aaron and his interest in statistics, sports science and his coding work/papershttps://aaroncaldwell.us/To read about the Dankel and Loenneke Method read Aaron provides this linkhttps://osf.io/2r5ev/To get involved with STORK and promote transparency and raise the bar for statistics within sports science visit storkinesiology.orgLink to Daniel Lakens highly rated online coursehttps://www.coursera.org/learn/improving-statistical-questions
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Ep 44 - Jacob Richey and the playerELO
04/12/2019 Duración: 25minJacob Richey is a junior at the University of Pennsylvania studying economics and data analytics. He has developed a playerELO which you can read about herehttps://community.fangraphs.com/playerelo-factoring-strength-of-schedule-into-player-analysis/ Check out his twitter @richey_jacob
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Ep 43 - Magnitude Based Inference Completing the Story?
21/11/2019 Duración: 42minMichael Butson Art school grad, former sound engineer & exercise science academic. Interests: dynamic systems theory, research practices, Soto Zen. https://twitter.com/emelbutHopefully what this interview will do, is give people another perspective, on why sports science adopted MBI/MBD, why its continually being used even after been discontinued at the AIS and in various journals. Academia is not a pure space, and hopefully this offers an insight as to why.
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Ep 42: Aaron Schatz
14/11/2019 Duración: 32minAaron Schatz launched the revolution in football analytics when his website FootballOutsiders.com went online in July 2003. He remains editor-in-chief and head statistician for that website as well as the book series Football Outsiders Almanac. In addition, he writes for ESPN.com Insider and ESPN The Magazine, and during the 2011 season was a regular panelist on the ESPN2 show Numbers Never* Lie. He has written for a number of publications including The New Republic, The New York Times, and The Boston Globe, and has consulted for a number of NFL teams. Before Football Outsiders, Aaron spent five years on the radio at WBRU Providence and WKRO Daytona Beach, and three years as the writer and producer of the Lycos 50, the Internet’s foremost authority on the people, places, and things that are searched online.
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Ep 41: Frank Frigo
07/11/2019 Duración: 45minFrank Frigo has a passion for games and markets. He is a former winner of the Backgammon World Championship in Monte Carlo and has held the number one international ranking for both on-line and live match play. Before co-founding EdjAnalytics, he had an active career in commodity markets with an emphasis on structuring wholesale energy transactions. He has more than 20 years of experience in the power and natural gas industries. Frank has consulted with several NFL and NCAA Division 1 football programs and his work in sports analytics has been prominently featured in Esquire, Fox Sports, ESPN, The New York Times and Showtime’s “Inside the NFL.
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Ep 40: Positive Residual
04/11/2019 Duración: 39minPositive Residual is a sole proprietorship that collaborates with sports franchises, media companies, and other groups on select analytics and visualization projects. Basketball research and content can be found at Nylon Calculus, Cleaning the Glass, and The Ringer.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!
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Ep 39: Asmae Toumi - Editor in Chief Hockey Graphs
01/11/2019 Duración: 46minAs editor-in-chief of Hockey-Graphs, Asmae manages the day-to-day operations and oversees the editorial and creative process. She’s passionate about bridging data analytics, academia and sports. In her role, she spearheaded a mentorship program pairing NHL data scientists and executives with underrepresented persons.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!
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Ep 38: Ethan Douglas
27/10/2019 Duración: 38minEthan Douglas, better known on Twitter as Chiefsanalytics, has done some interesting work on NFL. Hear about how he got into NFL research and as a bonus some of his ideas around the #bigdatabowlPodcasts 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!
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Ep 37: Josh Miller
25/10/2019 Duración: 42minJosh Miller researches Behavioural Economics, Statistical and Experimental Methods, Judgement and Decision Making, Game Theory, Decision Theory - and was a contributor to the very interesting Hot Hand Paper.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!
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Ep 36: Kristin Sainani: What is magnitude based inference?
17/10/2019 Duración: 41minKristin Sainani (née Cobb) is an associate professor at Stanford University and also a health and science writer. After receiving an MS in statistics and a PhD in epidemiology from Stanford University, she studied science writing at the University of California, Santa Cruz. She has taught statistics and writing at Stanford for more than a decade and has received several Excellence in Teaching Awards from the graduate program in epidemiology.Here we talk about Magnitude Based Inferences, science writing and much more.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!