Standard Deviation is a great tool to determine value. However it appears that the number for Turnovers is being added into to the overall number. That makes all the high turnover guys rank higher. Please address or clarify how this is calculated.
Hubert Chou commented
TOs is currently counted as a positive stat, so the totals in the player list unfairly weight high turnover guys like Harden and Doncic. This should actually be negative to properly reflect player value.
Also, the FG% and FT% standard deviations seem to be abnormally low. Is this properly weighted based on % * # attempts?
Luke Meier commented
The "Std Dev" tool is so great when it works accurately. In basketball right now it has one glaring problem that throws off all results. In counts turnovers in the wrong direct--rewarding players for committing *more* turnovers. This throws off all the totals, often significantly.
Joey Callahan commented
I posted about this same issue this morning. Wish I had seen this first. Someone with a high turnover rate should be X deviations below the mean, not above. It is also affecting the Total column, as positive numbers actually reflect negative play. If the deviations themselves cannot be fixed, the turnovers should be subtracted from the aggregate instead of added.
Matt Brugner commented
This is absolutely an issue. Turnovers in the STD calculation should be inverted, as players with more turnovers should be on the lower end of the STD spectrum and thereby reducing the total column.