wizenheimer
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As shown above - the values are not linked for the same population based on bbref's definition - so it is a pretty misleading number (as shown by the simple ast/to ratio from ESPN).
I spend a lot of my time in recent months working on a complex BI project - and I have been reminded almost daily that understanding the basis of how the numbers are calculated is important, unfortunately, in this example - your answer was misleading because the populations are different.
if you want to argue that turnover rate is misleading, somehow, go ahead. But keep in mind the turnover rates for the entire team:
Evan Turner 18.2 (16.4)
Jusuf Nurkic 14.4 (24.5)
Zach Collins 14.2 (16.3)
Meyers Leonard 13.8 (15.1)
Seth Curry 11.5 (14.9)
Damian Lillard 11.1 (29.7)
Maurice Harkless 10.7 (13.1)
Enes Kanter 10.3 (30.7)
Jake Layman 9.1 (16.1)
Al-Farouq Aminu 8.9 (13.0)
CJ McCollum 7.5 (25.8)
Rodney Hood 2.4 (13.5)
here's where someone could argue that Turner has the ball in his hands more than most of those players, so of course his turnover rate would be higher. He certainly doesn't have the ball in his hands more than Dame and CJ, and maybe not as much as Nurkic, but he has a much higher turnover rate.
if you're wondering what the 2nd numbers for each player are, those are usage rates. Notice that there is only one player of the 12 who has a turnover rate higher than their usage rate. That seems significant but maybe it's just another Turner anomaly. Again, maybe somehow you can argue mitigation for those pairs of numbers, but in light of every other stat, that argument seems kind of strained




