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Bonn1997
Posts: 58654 Alba Posts: 2 Joined: 2/2/2004 Member: #581 USA |
![]() You're incorrectly assuming a strong negative correlation between shot attempts and efficiency. You can see a good statistical study here: http://www.countthebasket.com/blog/2008/03/06/diminishing-returns-for-scoring-usage-vs-efficiency/
There's a small negative correlation between shot attempts (or usage) and efficiency. So a volume shooter like Melo with average efficiency does help his teammates, but only slightly. It's more than zero help but much less than people assume. A more reasonable, neutral title might be something like "efficiency vs. volume" rather than vs. "effectiveness." |
NardDogNation
Posts: 27405 Alba Posts: 4 Joined: 5/7/2013 Member: #5555 |
![]() Bonn1997 wrote:You're incorrectly assuming a strong negative correlation between shot attempts and efficiency. You can see a good statistical study here: http://www.countthebasket.com/blog/2008/03/06/diminishing-returns-for-scoring-usage-vs-efficiency/ I'll admit that I'm not terribly familiar with advanced statistics related to basketball but I'll review this as best as I can later on. Having taken three total semesters of statistics though, I know that numbers can be tortured until you get them to say what you want them to. Not too many years ago, I recall the +/- statistic indicating that Kevin Durant had a negative influence on his team when on the court and another suggesting that David Lee had more of an impact on the floor than Kobe Bryant. It is why I think that the naked eye test is still the best method for evaluating a player; using statistics only as a means of augmenting these existing observations. With that being said, I think Melo is an effective player because of the massive amount of game planning required to cover/contain him by opposing teams. Is he something of a one trick pony? Yeah but I think the point is overstated because we often juxtapose his versatile scoring ability (that ranks among the best in the league) with the rest of his game. That fault, in my opinion, obviously lies more with the observer than the actual player. |
Bonn1997
Posts: 58654 Alba Posts: 2 Joined: 2/2/2004 Member: #581 USA |
![]() NardDogNation wrote:Bonn1997 wrote:You're incorrectly assuming a strong negative correlation between shot attempts and efficiency. You can see a good statistical study here: http://www.countthebasket.com/blog/2008/03/06/diminishing-returns-for-scoring-usage-vs-efficiency/ The solution is to make an educated interpretation of the data, not to ignore them. That's why almost all the teams are hiring statisticians now. |
NardDogNation
Posts: 27405 Alba Posts: 4 Joined: 5/7/2013 Member: #5555 |
![]() Bonn1997 wrote:NardDogNation wrote:Bonn1997 wrote:You're incorrectly assuming a strong negative correlation between shot attempts and efficiency. You can see a good statistical study here: http://www.countthebasket.com/blog/2008/03/06/diminishing-returns-for-scoring-usage-vs-efficiency/ I'm not refuting the usefulness of statistics; that has never been my point. But as I've said in another post, the essence of statistics lies in identifying the realm of possibilities and probabilities and can never outright prove a point. It operates with an element of falsifiability, so to use any one or handful of metrics to confirm a players effectiveness is not apart of its intended use. For all the "projections" guys like John Hollinger makes, it does not necessarily play itself out in the real world as you indirectly pointed out in another post. |
Bonn1997
Posts: 58654 Alba Posts: 2 Joined: 2/2/2004 Member: #581 USA |
![]() NardDogNation wrote:Bonn1997 wrote:You're incorrectly assuming a strong negative correlation between shot attempts and efficiency. You can see a good statistical study here: http://www.countthebasket.com/blog/2008/03/06/diminishing-returns-for-scoring-usage-vs-efficiency/ I respect your openness and honesty. The advanced stats in the NBA are still in their infancy and are far from perfect. I'd point out though that the failures of the eyeball test are basically what led teams to start hiring more and more analytics experts. The biggest argument against the eyeball test is that GMs (the one group of people whose whole careers depended on using the eyeball test before advanced metrics came along) were clueless about how much players were actually worth. There was almost no correlation between team payroll (how much the GM thought the players were worth) and team winning percentage. In contrast, there is a pretty strong correlation (though far from perfect) between the statistical evaluation of teams that many experts have offered and how many games they win. Regarding your original post, the analytics community is definitely not settled on this issue, though very few believe that high volume scoring is as valuable as fans believe it to be. Some give a little extra credit to high volume scoring while others give no credit. Our reliance on heuristics (http://en.wikipedia.org/wiki/Heuristic; like being able to remember lots of flashy plays from a high volume scorer) is probably a major reason why the eyeball test doesn't work better. |