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Off topic: Where the hell has Fed been?
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Bringing a Noah-Melo debate into CCS is like a black person showing up to a KKK rally...
It never ends well..
People just need to respect that some people want Melo and some people want to keep Noah. There are cases for both (despite what a few posters here say), and while this is a forum and debate is welcomed, there's no reason to shout and call each other "retards" or "idiots" for their opinions.
Except, you know, when people are being Special person and/or idiotic in making their point or dispelling others.
Hey, it's not my fault you're Special person and say Special person things.
Wow, what an incredible retort. How many hours did you piss away trying to come up with that one? My 4yr old niece could do better.
my point is that when that workload goes down (to the level of the guys you listed), his efficiency can be reasonably expected to go up
you know basketball doesn't always lend itself to statistical analysis. I'm not sure why certain people are so very high on them.
I'd say that the relationship between usage and efficiency is one of the big unsolved problem in advanced basketball stats (capturing individual defensive contribution being the other). So I don't think simply assuming his efficiency would go up on the Bulls is a reasonable expectation at all. You're going to have to give me a compelling argument as to the mechanism by which you think his efficiency would go up for me to buy it. If anything my gut feel is that his efficiency may even go down on the Bulls, as he'd be paired with a player that is a worse fit for his game (Billups' outside shooting seems a stronger pairing than another guy who also wants the ball to drive with it).
One can infer that generally, when players in a lineup are forced to increase their usage, their efficiency decreases, and when players are forced to decrease their usage, their efficiency increases.
In general, for every 1% that a lineup has to increase its usage, it’s efficiency decreases by 0.25 points per 100 possessions, and vice versa.
...
If a 1% increase in a lineup’s summed usage results in a drop of 0.25 points per 100 possessions, what does this translate to in terms of individual usage and individual efficiency? We can translate this pretty simply by multiplying 0.25 by five, which suggests that for each 1% a player increases his usage, his efficiency drops by 1.25 points per 100 possessions. For example, suppose we had a lineup of of five players all with a %TmPoss of 0.19 and an ORtg of 100 (for this example I’m going to use points per 100 possessions for ORtg). As the lineup increased its usage five percentage points from 0.95 to 1.00, we would expect its ORtg to drop from 100 to 98.75 (a drop of 5*0.25). This could be accomplished by each player’s usage increasing to 0.20 and each player’s efficiency dropping to 98.75. Thus on the player level, a 1% increase in usage would result in a decrease of 1.25 points produced per 100 possessions.
This ratio of +1% player usage to -1.25 player ORtg (in points produced per 100 possessions) suggests a usage vs. efficiency tradeoff twice the size of that found in a study by Dean Oliver. By looking at game-by-game stats, he found that a 1% increase in usage translated to a drop of 0.6 points produced per 100 possessions. However, I don’t think my findings necessarily conflict with his. As discussed above, a big difficulty in studying usage vs. efficiency is separating out the confounding factors that make usage correlate more positively with efficiency but that don’t really mean that there isn’t a diminishing returns effect. These are things such as players using more possessions in games when they are playing better, players using less possessions when they are matched up against better defenders, etc. Often these factors will completely drown out any actual diminishing returns, and a positive relationship will be found between usage and efficiency (such as in this study). Dean’s study was unique in that it was able to find a negative relationship, but it’s still very possible that the confounding factors were present and while they weren’t enough to cancel out the diminishing returns effect, they may have obscured its true size. So the fact that the study that I have done finds a stronger negative relationship between usage and efficiency could be because it controls for more of those confounding factors by looking specifically at situations in which players were forced to increase or decrease their usage.
I'd also be interested to hear why you assume it'd be Carmelo's usage that goes down, and not Rose's. It was certainly Iverson, not Carmelo, that took the bigger hit in usage when they teamed up.
I love Kool-Aid. It's refreshing. I love meatballs as well. Very filling.
Oh what a tough job it must be to sit on your fat ass in your mother's basement, covered in crushed doritos, hammering away at your keyboard with your hotdog sized digits, bemoaning the idiocy of the world you're afraid to step out into. I truly pity you. Internet nazis are a sad & lonely bunch. I hope that one day you can have the flagpole removed from your ass so you can actually have a rational conversation, you know, like humans do.
I have no idea why lefty is wasting his time with this thread. This really isnt a debate whatsoever, Mello>>>>Noah.......Mello makes you closer to a championship.there is just no denying that. it is a simple fact.
I don't know what's more insulting, the fact you assume I'm unfamiliar with that article, or the fact it says in the very first paragraph that there's a lot of debate amoung the leading stat heads about the usage vs efficiency dilema (ie exactly what I said) but you're using it as though it proves that it's a solved problem.