I'm going to Sloan next week; let's connect if you are too
Issue number thirty-eight, glad to have y'all!
This week is somewhat of an assortment of articles. Three NBA appearances, one regarding Steph's shooting slump, another trying to identify second-half all-stars based on a DRIP metric, and the last comparing a prediction model to betting odds outcomes. To round us out, a decade set of NFL QB rankings is created, and a soccer R and Python library has been released.
This Week's Lineup
Comparing Bradley Terry Model to Betting Odds
Attempting to find value in bets, this post describes the model used to predict NBA game outcomes and how it performed versus bookmaking odds.
Who DRIP Projects Will Be the All-Stars of the NBA's Second Half
With DRIP being a projection system based on previous performance, it also uses box position to sort players who are in the front or backcourt. A few surprising and unsurprising names make the list.
The Best NFL Quarterbacks From 1980-2020
A list was created of the best players at each of the “primary” positions in football to further the debate over the greatest NFL players of all-time and provide quantifiable metrics to back up their picks. This one focuses on QBs.
Introducing itscalledsoccer an R and Python Library
At a high level, itscalledsoccer is just a wrapper around the American Soccer Analysis API that powers their interactive tables.
4 charts Explaining Steph Curry's Shooting Slump
Four weeks old, but still provides multiple visual perspectives to compare how this year differs from his past six seasons. It also answers the question "Could Steph Curry have broken Ray Allen’s record shooting like this his whole career?"
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