Basketball, Stat!

Solo pod this week! Just wanted to take a look at some notable early season performances and talk about what I'd expect to continue and what will change. I talked about the Heat, 76ers, Lakers, Jazz, Suns, Raptors, Rockets, Kings, and Bulls. Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/E-mail: robert.antle@gmail.com

This week we're joined by Mike De La Rosa who is the video coordinator for Thinking Basketball with Ben Taylor. Mike and I talked about our initial impressions from the first 2 days of NBA basketball and also what it's like breaking down film for Thinking Basketball and some of his takeaways for specific players. You can find Mike in his work here in the following places:Twitter: https://twitter.com/MikeDeLaRosaNBAThinking Basketball: https://www.youtube.com/channel/UC3HPbvB6f58X_7SMIp6OPYw Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/E-mail: robert.antle@gmail.com

This week we're joined by Aaron Barzilai, founder of Her Hoop Stats and former Director of Analytics for the Philadelphia 76ers. We talk about his path to the NBA and different aspects of what it was like to work in an NBA front office. We also talked about his most recent endeavor: Her Hoop Stats, where he's looking to provide basketball analytics for the women's game.Her Hoop Stats website: https://herhoopstats.com/Her Hoop Stats Twitter: https://twitter.com/herhoopstatsAaron Barzilai Twitter: https://twitter.com/basketballvalue Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/E-mail: robert.antle@gmail.com

This week Nathan Walker joins the show to talk about his luck-adjusted net rating model that was used in Jacob Goldstein's PIPM metric, as well as some of the other things he's been working on. You can find Nathan and his work here:Twitter: https://twitter.com/bbstatsPatreon: https://www.patreon.com/bbstats/posts Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/Blog: https://basketballstat.home.blog/

This week Mike Bossetti joins me to discuss what we think will be the best 5-man lineups for the upcoming season.You can find Mike's work on:Twitter: https://twitter.com/mikebosportsNylon Calculus: https://fansided.com/author/mbossetti/ Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/Blog: https://basketballstat.home.blog/

This week we're joined by Jacob Goldstein! Jacob created PIPM (Player Impact Plus Minus) so we brought him on to talk about how he created the stat and what all goes into it. You can find his work online at https://www.bball-index.com/ and his writing at https://fansided.com/author/jgoldstein/. Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/Blog: https://basketballstat.home.blog/

This week is a departure from the stats series I've been doing. I asked two of my friends from SBC, Stevie Cozens and Sam Shin, to join me and we each go through our 5 most intriguing players for the 2019-20 season. It's a much longer conversation as we get into pretty detailed discussion on 15 different players, but it was a lot of fun to do.Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/Blog: https://basketballstat.home.blog/

This week we're looking at a statistic by FiveThirtyEight called CARMELO. This stat is a fun projection system used to predict a player's career arc developed by Nate Silver. I didn't do a deep dive article into how the stat is calculated since not all of the information is available, but I still took a look at everything that goes into coming up with the projections.  CARMELO ratings: https://projects.fivethirtyeight.com/carmelo/Historical Elo ratings: https://projects.fivethirtyeight.com/complete-history-of-the-nba/Article on initial CARMELO ratings: https://fivethirtyeight.com/features/how-were-predicting-nba-player-career/ Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/Blog: https://basketballstat.home.blog/

This week on the show, we're looking at a box score stat called Box Plus/Minus (BPM)! Like with each of these, we'll talk a bit about the history of the stat, how it's calculated, and we'll take a look at some player comparisons from past seasons. Here's a link to the article I wrote on BPM: https://basketballstat.home.blog/2019/08/27/box-plus-minus-bpm/Here's a link to Dan Myers' description of the stat on basketball-reference.com: https://www.basketball-reference.com/about/bpm.html Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/Blog: https://basketballstat.home.blog/

This week, we're going to look at our first stat in the plus/minus family called Regularized Adjusted Plus/Minus (RAPM). Like with each of these, we'll talk a bit about the history of the stat, how it's calculated, and we'll take a look at some player comparisons from the most recent seasons. My article breaking down RAPM: https://basketballstat.home.blog/2019/08/14/regularized-adjusted-plus-minus-rapm/Dan Rosenbaum article on APM from 2004: http://www.82games.com/comm30.htmLecture by Jeremias Engelmann on RAPM: https://www.youtube.com/watch?v=OuC0YZTADcERAPM values I used: https://basketball-analytics.gitlab.io/rapm-data/ Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/Blog: https://basketballstat.home.blog/

During this episode, we take a look at PER, its place in history, how it's calculated, and what it looks like when you look at past seasons with it.  My article breaking down PER: https://basketballstat.home.blog/2019/08/07/player-efficiency-rating-per/ Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/Blog: https://basketballstat.home.blog/

Welcome! We are officially live! This is just an introduction episode to share the idea for the podcast and what to expect going forward. The real first episode will drop next week! Here's a link to the Ben Taylor article I referenced as well: https://fansided.com/2019/01/08/nylon-calculus-best-advanced-stat/ Twitter: https://twitter.com/RobertAntleInstagram: https://www.instagram.com/robertantle/Blog: https://basketballstat.home.blog/