Archives

The Tricky Case of Jose Calderon, and Micro and Macro Analysis

There’s been a really interesting shift among a subset of basketball analytics writers (myself included) towards much more micro-level analytics than we’ve previously seen. For a long time, the focus of analytics was on proving which player is better than which other player. ORTG/DRTG, On/Off court +/-, PER, and RAPM were all the focuses of […]

On the Importance of Frames of Reference

One of the more consistent refrains regarding the usage of statistics in basketball, from both stats gurus and the anti-stats crowd alike, is that basketball analytics lack the proper context to be relied upon. This is fairly objectively not true, for a number of different reasons. First, the basketball statistics are always built upon variables that […]

Learning to Shoot, Specialization, and the Orlando Magic

An interesting development in the past month or so — since the 2014 NBA draft in which Andrew Wiggins, Aaron Gordon, and Marcus Smart were some of the hottest commodities — has been the growth of rebuilding teams who are focusing primarily on athleticism and defense from their new young talent. The Orlando Magic (who […]

Effects of Shot Location, and How Defenses Might be Changing

The advent of viewing basketball probabilistically, fundamentally changed how the game is managed. Basketball, to the extent that it was considered scientifically at all, used to be a function of physics — of arcs, gravity, and momentum. The realization that basketball could be viewed in terms of probabilities — in terms of the odds that […]

The Rockets, Trail Blazers, and a Secret of Shot Selection

Since Dean Oliver first published Basketball on Paper in 2004 (and probably before), basketball analysts have been pushing the belief that a team’s offense should be built around shooting three pointers and taking shots at the rim — the two most efficient shots in basketball by a wide margin. That philosophy has on a macro level been […]

Quantcast