Hi everyone, my team and I are currently working on a project that aims to provide personal performance analytics for basketball players. We intend to focus on player development and work with athletes at the non-pro level. We essentially gather regular box score data, analyze the data into players’ strengths and weaknesses, and in turn provide in-game tips / training recommendations. Since I’m a huge fan of our Fighting Illini, I decided to use what we’ve created to evaluate our beloved Fighting Illini players.
The strengths and weaknesses are assessed via hoopr’s Player Performance Index (PPI) algorithms. Currently, there are 4 major PPIs*, (1) scoring, (2) defense, (3) ball handling, and (4) basketball IQ. I’ve created a Google Sheet to show how our players have done in the 2015-2016 and the 2016-2017 seasons.
The first tab (Illinois 2015-2016) shows a game-by-game PPI on the left and a running average PPI on the right for all of the 34 games in the season. At the bottom of the PPI numbers, you’ll see 4 graphs showing players’ progression in the different PPIs. I have omitted some players for their minimal playing time. The second tab details the same things, but for the 2016-2017 season. The last tab provides a comparison of the same players in the 2 seasons.
I appreciate your taking the time to read all this, please feel free to offer any comments/recommendations/criticism on what we’re doing and/or the result for our players. GO ILLINI!!
*Each PPI is placed on a scale of 0 to 100, and is determined by multiplying basic (e.g., points per game, rebounds per game), advanced (e.g., true shooting percentage, defensive rebound %), ranking (e.g., number of games as the top scorer), and other misc (e.g., number of games with more than 10 points) stats with their respective weights as some stats are more telling than others.
The strengths and weaknesses are assessed via hoopr’s Player Performance Index (PPI) algorithms. Currently, there are 4 major PPIs*, (1) scoring, (2) defense, (3) ball handling, and (4) basketball IQ. I’ve created a Google Sheet to show how our players have done in the 2015-2016 and the 2016-2017 seasons.
The first tab (Illinois 2015-2016) shows a game-by-game PPI on the left and a running average PPI on the right for all of the 34 games in the season. At the bottom of the PPI numbers, you’ll see 4 graphs showing players’ progression in the different PPIs. I have omitted some players for their minimal playing time. The second tab details the same things, but for the 2016-2017 season. The last tab provides a comparison of the same players in the 2 seasons.
I appreciate your taking the time to read all this, please feel free to offer any comments/recommendations/criticism on what we’re doing and/or the result for our players. GO ILLINI!!
*Each PPI is placed on a scale of 0 to 100, and is determined by multiplying basic (e.g., points per game, rebounds per game), advanced (e.g., true shooting percentage, defensive rebound %), ranking (e.g., number of games as the top scorer), and other misc (e.g., number of games with more than 10 points) stats with their respective weights as some stats are more telling than others.