Using Weighted Player Efficiency Rating to Predict the NBA Playoffs

By Neil Rangwani

This time of year means a few things in the world of sports: March Madness highlights take over ESPN, baseball stadiums start to fill up, and Knicks fans await their inevitable disappointment.

This NBA season looks remarkably competitive: the top of the league is crowded with legitimate contenders. The defending champion Heat and the Pacers, although sliding a bit recently, look to be the favorites in a weak East, while the Thunder, Clippers, and an extremely hot Spurs team each look like they could win the West.

In order to take a closer look at the playoff picture, we wanted to rank teams according to a metric that took into account various facets of a player’s game, so we decided to calculate a team equivalent of Player Efficiency Rating (PER). We took a relatively simple approach, since PER encompasses a number of basic statistics.

Introducing Weighted Player Efficiency Rating (WPER)

Using data for each player over the past four NBA seasons, we weighted each player’s PER by their playing time as a fraction of their team’s total playing time in order to account for a player’s actual usage. Then, we found each team’s Weighted Player Efficiency Rating (WPER) by summing the values for each player on each team.

Continue reading “Using Weighted Player Efficiency Rating to Predict the NBA Playoffs”

Let the NBA Back in Seattle, But Not Who You Think

The case for the Clippers to leave Los Angeles for Seattle  by Dylan Ackerman In the last couple of weeks, like many Americans, I find myself intrigued with happenings in the NBA. Unlike most people following basketball, however, my interested has nothing to do with anything happening on the court. I am not completely sure how – perhaps my love of Starbucks, perhaps my desire … Continue reading Let the NBA Back in Seattle, But Not Who You Think