I've got a standardized per-36-minute rate for players, in which the standards are per 100 points and per 44 rebounds per game (per team). With additional adjustments, the goal is to estimate a player's Sco, Reb, etc rates for any team; but especially for a historically average one.
So I take a Euclidean distance from the avg for each stat and get a difference measure. Other similarity scores may do it such as to approach 1.00 for 100% identical, but in this exercise, zero is identical.
Our hypothetical all-average player is thus .00 different from himself:
Code: Select all
dif   per-36 rates    tm   Sco    Reb   Ast    PF   Stl   TO   Blk
.00   aaavg Joe      nba   15.0   6.6   3.0   3.0   1.1   2.0   .8
.25   Max Strus      Cle   13.9   5.6   3.4   2.8   1.0   1.6   .7
.26   Naji Marshall  NOP   14.1   7.6   2.9   2.4   1.3   2.1   .5
.29   Deni Avdija    Was   14.0   6.8   3.6   3.1   1.2   1.9   .4
.32   Kevin Huerter  Sac   15.1   6.3   3.3   3.0   1.1   1.2   .5
.38  Shaedon Sharpe  Por   15.2   5.6   2.8   3.0   1.1   3.0   .4
.39  Keldon Johnson  SAS   14.8   7.3   3.3   2.8    .9   1.4   .3
.40   Jaime Jaquez   Mia   15.1   5.4   2.9   3.1   1.5   1.9   .3
.41 Donte DiVincenzo NYK   15.7   5.1   2.6   2.4   1.6   1.9   .5
.43   Buddy Hield    Ind   15.4   4.4   2.8   2.9   1.0   2.2   .9