Sports Leagues Popularity

As my bots continue to bring me data from all across the interwebs I am constantly thinking about interesting questions to ask it. As I have been focused on numbers generated by various sports leagues I began to wonder about the popularity of these various leagues themselves…

NBA Power Rankings February 2019

I have recently been inspired to write code of interest to the legal sports book industry again.  Disclaimer – I have nothing to do with placing bets, taking bets, money exchanges for bets, or anything else to do with actual betting. What I am almost obsessed with is sports betting odds, probabilities, rankings, etc.  Of… Continue reading NBA Power Rankings February 2019

The NBA PPR – Money Ball Edition

The other day I re-wrote my NBA player ranking algorithm so that it was more commiserate with my current Python skills.  While my coding is significantly better, the basic idea was the same: take the available advanced analytics and determine who really are the most effective players in the NBA. While I am more confident… Continue reading The NBA PPR – Money Ball Edition

The Best 25 ( or so ) Players in the NBA 2018 and the 2018 NBA MVP

There is little doubt that advanced metrics have helped the Houston Rockets become the best team in the NBA so far in 2018.  In terms of how the team plays and was built, modern analytics have significantly contributed to their success.    In the spirit of celebrating NBA analytics I thought that I would compile as… Continue reading The Best 25 ( or so ) Players in the NBA 2018 and the 2018 NBA MVP

Only 14 NBA Teams Matter Now. Okay, Would You Believe 4…

Due to my situationally forced absence from all things digital (nothing horrible, just a very difficult move + personal milestone) I have had allot of time to think.  I have re-written my Pigskin Prognosticator in Python over and over again in my head. When I got back at it for real however,  I went a… Continue reading Only 14 NBA Teams Matter Now. Okay, Would You Believe 4…