Methodology of ACC Statistical Analysis

This is how i approach my statistical evaluation of basketball players.  For the ACC analysis, i enter in the player stats, for all games through the end of the regular season, for everyone playing at least 15 minutes a game.  The stats considered are: FG%, Free Throws Made, 3 pointers Made, Rebounds, Assists, Steals, Blocks, and Points Scored (i also sometimes throw in Points/FGA).  The list is then culled down to the top 72 players (an average of 6/team) based on those stats. 

I calculate the average and standard deviation of this group in each category, and then compare each players stats to these metrics.  This gives you a "z-score" (remember stats class?) for each player for each category.  Those z-scores are summed (i use small tweaks to the category weightings, so it's not a straight sum), and then translated into my 100 point scale.  That scale is designed to accumulate enough points for the entire group, such that they total an average of 100 points per team.  Since the ACC is now up to 12 teams, that is 1200 points.

Let's take a look at Shelden's year, for an example.  He averaged 10.4 rebounds/game, compared to an average of 4.4 reb/game for the top 72 players.  The standard deviation for this group in rebounds was 2.1 reb/game.  Take Shelden's 10.4, subtract the mean of 4.4, for a difference of 6.  Then divide that 6 by the 2.1, for a z-score of 2.9 for rebounds for Shelden.  Do the same of the other 7 stats to get a total z-score.  The translation formula will remain proprietary.