Empirical Explorations

[benji]

This thread will be for those who wish to do empirical studies and explorations instead of just dealing with subjective opinions. Feel free to use this thread to discuss empirical methods, studies you have done, etc. Related to NBA (or basketball) pwease. If you do not wish to talk about such things, just bash stats as a whole, or similar, then:


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In the team previews thread discussion of Hinrich versus other players point guards, it was theorized that Hinrich may deny his man possessions at a greater number than others. I thought it may be interesting to see who is facing fewer possessions than the average, and by how much. I decided to just grab a small sample size, of the point guards who play 20+% of minutes for Atlanta through Milwaukee alphabetically. Only players who played at least two-thirds of minutes at the point were included, and were assumed to have played all minutes at point guard for this study. (So the infamous Hinrich is not included. Yes, the data is available to get a more accurate count of how many minutes were logged at point guard, but has been not used here.) This left 24 point guards to analyze.

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alston,rafer   
armstrong,darrell   
atkins,chucky   
billups,chauncey   
cassell,sam   
claxton,speedy   
davis,baron   
duhon,chris   
farmar,jordan   
felton,raymond   
gibson,daniel   
harris,devin   
knight,brevin   
livingston,shaun   
lue,tyronn   
parker,smush   
payton,gary   
rondo,rajon   
snow,eric   
stoudamire,damon   
telfair,sebastian   
tinsley,jamaal   
williams,jason   
williams,maurice

The league average number of floor possessions for a point guard was determined from 82games data, which is in per 48 minutes, to be roughly 22.7 floor possessions. It is not enough to look at just the possessions faced per 48 min for the other players, as they play at different paces. Assuming they faced the average rate of possessions, Baron Davis would have 24.8 and Chauncey Billups 21.9, just from pace differences. So all possession amounts were adjusted by pace, then compared to the average. This information is here:

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1   stoudamire,damon   89.6%
2   felton,raymond   90.5%
3   snow,eric   92.5%
4   atkins,chucky   92.5%
5   gibson,daniel   93.0%
6   williams,jason   93.4%
7   duhon,chris   93.5%
8   tinsley,jamaal   93.8%
9   alston,rafer   94.6%
10   rondo,rajon   94.7%
11   billups,chauncey   94.9%
12   armstrong,darrell   95.2%
13   knight,brevin   95.3%
14   claxton,speedy   95.8%
15   telfair,sebastian   96.4%
16   payton,gary   97.1%
17   cassell,sam   97.7%
18   lue,tyronn   97.9%
19   harris,devin   98.0%
20   davis,baron   99.4%
21   williams,maurice   102.0%
22   farmar,jordan   102.4%
23   livingston,shaun   104.6%
24   parker,smush   105.7%

So, Damon Stoudamire faced just 89.6% of the average amount of possessions, or 20.3 per 48 minutes, while Smush Parker was at the other extreme with 105.7% and 24.0.

The question now becomes, does this show any correlation with stop percentage? In other words, are the players facing the fewest possessions also forcing the most turnovers and missed shots on those possessions they do face? The stop percentage data for these players follows.

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1   rondo,rajon   14.43%
2   claxton,speedy   14.29%
3   harris,devin   14.28%
4   parker,smush   13.73%
5   farmar,jordan   13.43%
6   davis,baron   13.36%
7   livingston,shaun   13.32%
8   duhon,chris   13.20%
9   armstrong,darrell   12.88%
10   knight,brevin   12.77%
11   tinsley,jamaal   12.70%
12   alston,rafer   12.55%
13   snow,eric   12.12%
14   felton,raymond   11.86%
15   gibson,daniel   11.80%
16   billups,chauncey   11.80%
17   williams,maurice   11.77%
18   williams,jason   11.65%
19   cassell,sam   11.52%
20   telfair,sebastian   11.32%
21   payton,gary   11.15%
22   atkins,chucky   10.53%
23   stoudamire,damon   10.14%
24   lue,tyronn   10.09%

To compare the rankings for the players between the two data sets, I have placed them one after another in a "table" (can tables be done on the NLSC? I forget?), the first value is their "faced possessions versus the league average" ranking and the second is their stop percentage ranking.

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alston,rafer   9   12
armstrong,darrell   12   9
atkins,chucky   4   22
billups,chauncey   11   16
cassell,sam   17   19
claxton,speedy   14   2
davis,baron   20   6
duhon,chris   7   8
farmar,jordan   22   5
felton,raymond   2   14
gibson,daniel   5   15
harris,devin   19   3
knight,brevin   13   10
livingston,shaun   23   7
lue,tyronn   18   24
parker,smush   24   4
payton,gary   16   21
rondo,rajon   10   1
snow,eric   3   13
stoudamire,damon   1   23
telfair,sebastian   15   20
tinsley,jamaal   8   11
williams,jason   6   18
williams,maurice   21   17

There does not appear to much of any correlation between the two data sets from the results that we have here. Duhon shows up well, but examples like Smush Parker and Damon Stoudamire are nowhere near close.

Forcing turnovers appears for a few players to compare a lot better but still nothing consistant, forcing missed shots is as bad as the stop percentage. (Order: "faced%" rank, forced turnover rank, forced missed shot rank.)

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alston,rafer   9   23   6
armstrong,darrell   12   3   22
atkins,chucky   4   17   23
billups,chauncey   11   13   15
cassell,sam   17   21   5
claxton,speedy   14   2   18
davis,baron   20   10   9
duhon,chris   7   1   10
farmar,jordan   22   4   7
felton,raymond   2   15   16
gibson,daniel   5   7   13
harris,devin   19   5   2
knight,brevin   13   11   14
livingston,shaun   23   24   1
lue,tyronn   18   20   21
parker,smush   24   8   4
payton,gary   16   14   20
rondo,rajon   10   6   8
snow,eric   3   18   3
stoudamire,damon   1   22   24
telfair,sebastian   15   16   11
tinsley,jamaal   8   9   17
williams,jason   6   19   12
williams,maurice   21   12   19

At this point we can pretty much say that facing fewer possessions does not appear to be very well related to the ability to force stops after that player gets possession. But what is the effectiveness of denying the possession? From the above table we can see that Cleveland and Memphis intend to get the ball away from the point guard (unless we assume that Atkins, Stoudamire, Snow and Gibson are all top notch players at denying possession) and the Lakers are not (Farmar and Parker at the bottom) although other teams do not show as much uniform relation like this. (Payton and Jason Williams for example from the Heat.)

The theory supposed however that denying the possession is more valuable than stopping the possession. With the data here we cannot examine that, but before moving on, we can use the percentage of possessions faced to alter stop percentage. This would allow us to see results if the value of a possession denial was relatively equal to the value of a stopped possession. Adjusting for the possessions faced we get:

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1   rondo,rajon   15.25%
2   claxton,speedy   14.93%
3   harris,devin   14.56%
4   duhon,chris   14.12%
5   tinsley,jamaal   13.53%
6   armstrong,darrell   13.53%
7   davis,baron   13.45%
8   knight,brevin   13.40%
9   alston,rafer   13.26%
10   farmar,jordan   13.11%
11   felton,raymond   13.11%
12   snow,eric   13.11%
13   parker,smush   12.99%
14   livingston,shaun   12.74%
15   gibson,daniel   12.69%
16   williams,jason   12.47%
17   billups,chauncey   12.43%
18   cassell,sam   11.80%
19   telfair,sebastian   11.74%
20   williams,maurice   11.54%
21   payton,gary   11.49%
22   atkins,chucky   11.38%
23   stoudamire,damon   11.32%
24   lue,tyronn   10.30%

The biggest rank changes are as follows:

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1   tinsley,jamaal   6
2   duhon,chris   4
3   alston,rafer   3
4   armstrong,darrell   3
5   felton,raymond   3
6   knight,brevin   2
7   williams,jason   2
8   cassell,sam   1
9   snow,eric   1
10   telfair,sebastian   1
11   atkins,chucky   0
12   claxton,speedy   0
13   gibson,daniel   0
14   harris,devin   0
15   lue,tyronn   0
16   payton,gary   0
17   rondo,rajon   0
18   stoudamire,damon   0
19   billups,chauncey   -1
20   davis,baron   -1
21   williams,maurice   -3
22   farmar,jordan   -5
23   livingston,shaun   -7
24   parker,smush   -9

Farmar and Parker see large drops, from 5th and 4th to 10th and 13th. Oddly, only Felton is a top five possession "denier" who sees a large movement, moving from 14th to 11th. Our other top five guys, Snow, Gibson, Stoudamire and Atkins see a grand total of 1 rank change. Which seems odd and is interesting, Stoudamire and Atkins were both terrible stop percentage players to start, so they clearly did not change enough to surpass others. Snow, however looking at his adjusted percentage shows he is borderline close to being ranked 10th. Tinsley and Duhon both saw large jumps in rank despite neither their stop percentage nor "denial" percentage being in the top five. The raw percentage changes make logical sense and did as expected, but the ranking results are the more interesting result here.

[grusom]

Great post!

[---]

Are the final rankings rating the players ball denial ability or overall defensively ability with the denial factor added in. I've read your post 3 times and I'm not completely sure. I think I'm missing something, probably because I'm real sleepy right now.

[benji]

The ranking that beings with "1 rondo,rajon 15.25%" is the stop percentage, altered by the denial percentage based on the assumption that denial value is equivalent to stop value. Think of it as the players stop percentage counting denials as stops, and then equalizing all the players ranked to an equal number of possessions.

The denial percentage is the first ranking that begins "1 stoudamire,damon 89.6%"

[JT_55]

Is there a head scratch emotion somewhere in here? What's the bottom line you're trying to say there then? I could figure out my own math all right, but not others. So if, by some far out miracle, that I'm right, you're saying that the percentages without factoring in the number of possessions are very different, and that Tinsley and Duhon are better defenders as advertised?

[benji]

I have no idea what your post means.

There were no conclusions regarding whether anyone is "better than advertised" stated or implied.

[J@3]

[JT_55]

Oh, er, all right. I guess slepeping through all those math classes is catching up to me. I just want to know what you're trying to say here with all these information because, apparently, I don't understand it.

[J J]

Too...much...numbers...

[Christopherson]

Benji, where do you get your data from?

I have looked around for the stop percentages, etc. but can't seem to find them. I swear I saw them once at 82games.com but seem to have misplaced them. Additionally, I have a few more questions for you:

Do you know of any metrics currently used for measuring the impact of help defense? Surely a good help defender gets a number of stops per game against someone he is not specifically guarding. Does anyone keep track of this?

I have seen metrics which gauged a person's defensive worth based on the average PER of the player he is guarding. I have also seen it as a statistic in which it displays how for under/over the usual PER a player holds his man to. My question is, wouldn't a statistic like this hurt someone like Bruce Bowen or Trenton Hassell? My reasoning is that PER is a statistic which combines offensive and defensive production. Since Bowen/Hassell are so terrible on offense, the man they guard (who also generally guards them) is going to have his stats boosted by playing against a terrible offensive player. They are likely to record more blocks/steals/rebounds as a result. This would raise their PER, which in the metric described would hurt Bowen/Hassell's opponent PER rating. On the other hand, someone guarding Kobe Bryany isn't likely to get many block/steals/rebounds while piling up lots of fouls, thus lowering their PER and making Kobe look better than he is when it comes to opponents PER ratings.

Is my logic flawed here or am I understanding things correctly?

Is this proof of the age old adage that the best defense is a good offense and vise versa?

[benji]

The data is gather from 82games.com, and nba.com. The stop percentages are produced from using the data available to determine possessions, etc.

Help defense is measured by people who do charting, but since that is being done for free by fans, there isn't the mass of data really available. One area to look at it, is in the on/off data. Usually an impact on a guys man will be small (he's only 1/5th of the other team after all) but you can sometimes see in guys like Mutombo's data where he is bringing down entire team shooting percentages, etc. The best attempt at reading this would have been: http://www.82games.com/rosenbaum3.htm But he cannot provide that stuff for us anymore, and I am not aware of another person who is doing it. A lot of the current focus is on determing what makes teams win overall, not the individual aspects.

The problem with counterpart PER you somewhat have there. But the biggest problem is this, PER counts everything, rebounds, steals, blocks, assists, etc. As a defender, there is not much you can do to stop your man from getting steals and blocks, you can affect their ability to get rebounds and assists but barely. For my defensive statistics, I try to focus on the possessions of the player, and the shots he takes, and the turnovers he commits. Essentially I am just counting the counterpart points and not their PER.

Well, I argue that defense is a lot less important than people think. People say "defense wins championships" but offense is just as important. The best is obviously a blend of great offense and defense. I think one other thing to note is that it is easy to get guys who can play some defense, it is a lot harder to get a great offensive player. You do have your Wallaces, Bowens, etc. But you cannot win with just them. So you should focus on getting a great offensive player like a Dirk, and bring in the defense later.

As I like to point out sometimes, if you have a team full of fantastic defenders with no offense, the best you can do is tie. But if you have a team of bad defenders with fantastic offense, they can always have the possibilty of outscoring their opponents.

[shadowgrin]

Sorry to bump this up but I have a question that doesn't deserve a thread of its own.

benji, what's the better gauge of an NBA player's possible statistical performance in terms of minutes played?
per 48 minutes or per 40 minutes?
48 minutes is my quick choice because playing time in an NBA game is 48 minutes, barring overtime.
Only very few players play past the 40 minute mark, players such as LeBron and Iverson, so 40 minutes is the probably the best choice.

I want to know your opinion regarding the matter.

If you want to know where I will use such information, I'm training a dozen kittens to bet in NBA games. Awareness of stats is part of their early training.

[benji]

As I said in the MIP thread, it's irrelevant. The 40 and 48 are just modifiers of "per minute" to make it look more like the ppg and rpg stats people are used to.

It could be per 36, per 100, per 5, whatever. The point is leveling the playing field of the players so as to compare them all equally on a per minute basis.

40 is used because it was agreed upon by a lot of people on APBR, and Hollinger adopted it and he is the most popular "stats guy".

[shadowgrin]

So I bumped a topic, wank off.
I have legit questions that's on-topic.

To benji:
What's the most noticeable difference between PER and Roland ratings?

When is it beneficial to use PER or Roland ratings?
Beneficial not in a subjective sense but objective one in which one method covers ground that can precisely as possible project performance that the other method can not or is limited to.


I also have a request, it's up to you if you want to do it or not. Either way it's ok.

Back in the NBA's 2001-2002 season, Andre Miller averaged a career best and league leading 10.9 apg.

What I want to know is did Miller really improve his (passing) game or did the players around him just became better at shooting the ball, which resulted in Miller's high assist number, or a combination of both?
Was his performance the previous 00-01 season indicate that his performance is still normal/on-par or expected to happen during the 01-02 season?
His apg dropped off in the next season (02-03) with the LAC. Did his (passing) game really decline? If his game really did decline, what statistical factors could be contributed to that (teammates not good at shooting the ball, less possessions for Miller to set-up, etc.)?

That's about it. Feel free to insult me as long as you give answers.

[benji]

If you don't mind me getting back to the Miller stuff later, so I can look it into it in the detail it deserves.

PER measures what an individual does. Every "boxscore" stat is established in its value compared to a normal possession. So for example, a turnover is a lost point. A missed shot is a lost .7 of a point. (Because the offense recovers it around 30% of the time.) These figures aren't exact, the actual PER calculation would use exact ones. It uses estimates for how many of the players baskets are assisted, etc. I personally, at the end of the season, use the 82games data to calculate "true" PER which gets rid of the estimates and uses the actual values.

Basically, doing lots of good things per minute while doing fewer bad things will increase your PER.

Roland Ratings or +/-, instead tries to say how much impact the player has when he's on the court. There is a much bigger flaw in this, in my opinion, than PER. PER isolates, for the most part, the players performance himself, and thus gives an idea of if he's great, good, average, etc compared to the league average.

+/- on the other hand, is entirely dependent on what other players the team has. If I'm an average player, but not a great one, and the team loses by 5 when I'm on the court, but my backup is absolutely terrible, and the team loses by 20 when he is, my +/- is +15. That might lead the league for my position, but it doesn't actually tell you how good I am, it tells you how good I am compared to my teammates.

You cannot truly isolate a player from context and the others on the court, but the goal is to try and do that best we can, as well as most importantly eliminate noise. (Thus, per game eliminating "total games" played, and per minute eliminating "minutes played" to try get closer to what the player actually does.) PER is really supposed to be used for quick comparisons, not end all declarations. You're supposed to go, hey, David Lee has a high PER, why is this? Then you look at the other stuff (makes shots, gets rebounds, etc.) and see why he's got a high one.

[shadowgrin]

I see, very interesting.
I guess it's better I review both to complement each other as to get a bigger picture of a player's performance and with respect to him being part of the team.


No problem with the Miller work, I don't mind it even if you post it after the NBA regular season.

[benji]

First, we have to note that assists are basically "chicken and egg" type things. What created the basket, the passer or the shooter? Would the passer get an assist if the shooter didn't make the basket, would the shooter get the points had the passer not passed it to him?

1999-00 Cavaliers (Miller: 38.7% assist rate)
Pace: 3rd, Offense: 26th
Cavaliers minus Andre Miller: 44.1% FG (We don't need to know if they were three pointers or not, merely that they went in.)

2000-01 Cavaliers (Miller: 40.5% assist rate)
Pace: 17th, Offense: 22nd
Cavaliers minus Andre Miller: 44.1% FG

2001-02 Cavaliers (Miller: 49.8% assist rate)
Pace: 15th, Offense: 14th
Cavaliers minus Andre Miller: 44.7% FG

2002-03 Clippers (Miller: 31.3% assist rate)
Pace: 14th, Offense: 22th
Cavaliers minus Andre Miller: 44.2% FG

Miller merely seems to have passed more in 01-02. It's not like the teams were shooting any differently. Changing the 2001-02 Cavs to 44.1%, Miller's assists drop to 10.76 per game from the 10.89 he got. The rest of the Cavs would've had to shoot 33% for Miller to get the 8 assists per game he got the year before.

He sees a usage drop from Cleveland to Los Angeles, 22.6% to 20.3%. We do know the Clippers weren't isolating him and posting him up like Cleveland. And he was standing outside more, he went from 8% of his attempts from three point range to 12%, it fell back to 7% the next year in Denver. 74% of his shots in Los Angeles were jumpers outside the paint, since then he's gone for 62%, 61%, 60%, 66% (60% in Denver, 68% in Philly), 64%.

It may have just been a fluke year where he passed more.

[shadowgrin]

Thanks benji, greatly appreciated.

The Cavs FG% minus Miller almost remains constant, that eliminates the factor of his teammates.
Miller's increasing assist rate from 99-02, wow, so Miller did improve/pass more at least until that season.

Thanks again.

chicken and egg

Doesn't matter, I'll eat it both. Yum.

[Abctest123]

I'd like to bump this thread to ask benji a question. How do you know if a player has actually improved his jumpshot, or is just infact getting better and more open looks at the basket because of better teammates? The main reason I'm asking this is because I remember reading from somewhere that showed that Rajon Rondo's jumpshot was improving and then some stats were brought up to prove this. His FG% is up and in that thing I was reading, something about eFG was brought up to further prove his midrange jumper improved. Despite this, I'd like to mention that the Celtics with the addition of KG and Ray Allen would allow Rondo to get some pretty decent looks at the basket (as opposed to the depleted and crappy roster from last year). I'm not particularly good at bringing up and searching for stats, but I know of this stat called eFG or something like that which helps determine a player's true shooting percentage or something, so perhaps you can give me a little info on that.

[benji]

The short answer is, we don't until years later. The player has to repeat the shooting performance before we can say for sure.

The reason for this is because there has been plenty of strong evidence that players can have a fluke shooting season in which they will suddenly shoot much better or much worse than normal. Generally the player will regress back towards his career average. If he retains it (like say a Raja Bell) then we can confirm he improved his shot.

In Rondo's case there's another aspect in that he was a rookie last season. Rookies almost always shoot much worse and turn it over much more than in the rest of their careers. So his improvement may come simply from that.

Of course there can be teammate influence, there is evidence that playing with better teammates makes you play better because possessions aren't being wasted as much.

Let's take a look at Rondo: http://www.82games.com/0607/06BOS2A.HTM
Last season he shot 33% on jumpers, was assisted on a third of them, and 50% of his shots were jumpers.
http://www.82games.com/0708/07BOS1A.HTM
This season he's shooting 42%, assisted on nearly half, and takes 56% of his shots as jumpers.

The increase in assisted rate probably indicates a strong teammate influence. But he also has to make those shots when he gets them, so there is likely some sophomore year improvement. The question of his confidence in the jumper may be tough as he hasn't really started taking more.

Looking at the "shot clock usage" we can see there is an area where he's getting lots of easy shots, and that's in the first ten seconds of the clock. Last year that was his best area and he shot 46% there, now he's hitting 57%. The Celtics super-defense likely helps him get better shots in this regard. He's shooting better at the end of the clock as well but being assisted a lot less, this may indicate he actually has improved his jumper and is more confident at taking a shot to bail out his team at the end of the clock.

It is likely a combination of all the things you mention as well as the ones I added. There doesn't have to be one lone answer. I would probably put more stock in the improvement than if he had three earlier years at 33% and suddenly jumped. [Captain Obvious]He may slip a little next year, but it's possible he might improve more, tough to say at this point.[/Captain Obvious]

[benji]

Team Statistical Profiles - Atlanta Hawks
[table][mrow]Player[mcol]Pos[mcol]Age[mcol]Ht[mcol]Wt[mcol]xpER[mcol]Pt%[mcol]P36[mcol]R36[mcol]A36[mcol]TS%[mcol]eFG
[row]johnson,joe[col]SG[col]26[col]6-8[col]225[col]18.3%[col].842[col]19.4[col]4.0[col]5.2[col].535[col].489
[row]smith,josh[col]PF[col]22[col]6-9[col]225[col]19.0%[col].723[col]17.7[col]8.5[col]3.5[col].520[col].468
[row]williams,marvin[col]SF[col]21[col]6-9[col]230[col]13.8%[col].696[col]15.7[col]6.0[col]1.8[col].540[col].462
[row]horford,al[col]C[col]21[col]6-10[col]245[col]14.5%[col].640[col]11.8[col]11.3[col]1.8[col].539[col].499
[row]childress,josh[col]SF[col]24[col]6-8[col]210[col]17.8%[col].573[col]14.4[col]6.0[col]1.9[col].647[col].590
[row]johnson,anthony[col]PG[col]33[col]6-3[col]190[col]12.0%[col].282[col]9.2[col]3.2[col]6.6[col].503[col].481
[row]bibby,mike[col]PG[col]29[col]6-1[col]190[col]15.0%[col].277[col]15.4[col]3.5[col]7.1[col].526[col].498
[row]pachulia,zaza[col]C[col]23[col]6-11[col]240[col]11.1%[col].237[col]12.5[col]9.6[col]1.4[col].515[col].437
[mrow]Player[mcol]Pos[mcol]Age[mcol]Ht[mcol]Wt[mcol]xpER[mcol]Pt%[mcol]P36[mcol]R36[mcol]A36[mcol]TS%[mcol]eFG
[row]law,acie[col]PG[col]23[col]6-3[col]195[col]8.8%[col].218[col]9.9[col]2.4[col]4.8[col].455[col].416
[row]lue,tyronn[col]PG[col]30[col]6-0[col]175[col]14.0%[col].142[col]14.6[col]2.7[col]3.8[col].542[col].515
[row]williams,shelden[col]C[col]24[col]6-9[col]250[col]9.7%[col].104[col]9.6[col]9.4[col]1.0[col].445[col].370
[row]stoudamire,salim[col]PG/SG[col]25[col]6-1[col]179[col]10.6%[col].101[col]18.2[col]2.2[col]2.5[col].495[col].442
[row]west,mario[col]SG/PG[col]23[col]6-5[col]196[col]8.8%[col].068[col]8.0[col]6.5[col]1.8[col].488[col].429
[row]wright,lorenzen[col]C[col]32[col]6-11[col]225[col]4.0%[col].037[col]3.2[col]9.1[col]0.7[col].331[col].294
[row]jones,solomon[col]C[col]23[col]6-10[col]230[col]7.0%[col].037[col]8.8[col]10.6[col]0.0[col].451[col].400
[row]richardson,jeremy[col]SF[col]23[col]6-6[col]185[col]5.4%[col].022[col]12.9[col]2.9[col]0.0[col].500[col].500[/table]
Percentage Stats
[table][mrow]Player[mcol]Pos[mcol]Pt%[mcol]Sc%[mcol]Rb%[mcol]As%[mcol]St%[mcol]Bk%[mcol]To%[mcol]Or%[mcol]Dr%[mcol]Usg%[mcol]Jbk%[mcol]Cbk%[mcol]Dbk%[mcol]Of%[mcol]Bp%[mcol]Bh%
[row]johnson,joe[col]SG[col].842[col]26.2[col]6.4[col]25.5[col]1.3[col]0.3[col]11.8[col]2.9[col]9.9[col]25.6[col]0.3[col]0.5[col]0.0[col]1.5[col]5.1[col]5.0
[row]smith,josh[col]PF[col].723[col]23.9[col]13.5[col]16.6[col]2.3[col]4.7[col]15.5[col]6.6[col]20.4[col]25.0[col]1.6[col]11.8[col]2.4[col]1.7[col]7.5[col]5.9
[row]williams,marvin[col]SF[col].696[col]21.1[col]9.6[col]8.3[col]1.5[col]0.7[col]10.4[col]5.0[col]14.2[col]20.1[col]0.3[col]1.6[col]0.0[col]1.5[col]3.6[col]5.1
[row]horford,al[col]C[col].640[col]15.9[col]18.0[col]7.9[col]1.2[col]1.8[col]15.3[col]11.4[col]24.5[col]16.0[col]0.5[col]4.7[col]0.4[col]3.0[col]4.7[col]6.7
[row]childress,josh[col]SF[col].573[col]19.5[col]9.6[col]8.5[col]1.6[col]1.1[col]12.4[col]9.0[col]10.2[col]15.8[col]0.8[col]2.1[col]0.0[col]2.3[col]4.4[col]5.3
[row]johnson,anthony[col]PG[col].282[col]12.4[col]5.1[col]27.9[col]2.0[col]0.4[col]15.1[col]1.8[col]8.4[col]13.4[col]0.6[col]0.2[col]0.0[col]2.1[col]7.6[col]5.4
[row]bibby,mike[col]PG[col].277[col]20.8[col]5.5[col]32.9[col]1.7[col]0.1[col]15.5[col]0.5[col]10.4[col]21.5[col]0.1[col]0.2[col]0.0[col]0.4[col]11.3[col]3.8
[row]pachulia,zaza[col]C[col].237[col]16.8[col]15.3[col]6.0[col]1.3[col]0.8[col]18.1[col]11.0[col]19.6[col]18.3[col]0.7[col]1.3[col]0.0[col]4.2[col]4.2[col]7.1
[mrow]Player[mcol]Pos[mcol]Pt%[mcol]Sc%[mcol]Rb%[mcol]As%[mcol]St%[mcol]Bk%[mcol]To%[mcol]Or%[mcol]Dr%[mcol]Usg%[mcol]Jbk%[mcol]Cbk%[mcol]Dbk%[mcol]Of%[mcol]Bp%[mcol]Bh%
[row]law,acie[col]PG[col].218[col]13.4[col]3.8[col]20.4[col]1.8[col]0.0[col]17.8[col]1.6[col]6.0[col]16.5[col]0.0[col]0.0[col]0.0[col]3.5[col]6.4[col]8.3
[row]lue,tyronn[col]PG[col].142[col]19.8[col]4.2[col]17.5[col]1.0[col]0.0[col]9.6[col]1.9[col]6.6[col]18.5[col]0.0[col]0.0[col]0.0[col]0.0[col]6.1[col]3.5
[row]williams,shelden[col]C[col].104[col]13.0[col]15.1[col]4.0[col]1.7[col]1.6[col]10.3[col]9.6[col]20.5[col]14.9[col]0.7[col]3.3[col]2.4[col]3.7[col]2.9[col]1.5
[row]stoudamire,salim[col]PG/SG[col].101[col]24.5[col]3.5[col]11.9[col]0.9[col]0.7[col]9.4[col]1.2[col]5.8[col]25.2[col]0.7[col]1.0[col]0.0[col]0.0[col]3.1[col]6.3
[row]west,mario[col]SG/PG[col].068[col]10.8[col]10.4[col]7.2[col]2.3[col]0.9[col]13.0[col]11.3[col]9.5[col]11.6[col]0.4[col]2.2[col]0.0[col]2.9[col]2.9[col]7.2
[row]wright,lorenzen[col]C[col].037[col]4.3[col]14.6[col]2.8[col]1.1[col]1.2[col]9.1[col]5.5[col]23.5[col]6.7[col]1.3[col]1.3[col]0.0[col]4.5[col]4.5[col]0.0
[row]jones,solomon[col]C[col].037[col]11.9[col]16.9[col]0.0[col]1.1[col]2.0[col]22.0[col]15.3[col]18.4[col]15.6[col]0.0[col]6.8[col]0.0[col]6.0[col]2.0[col]14.0
[row]richardson,jeremy[col]SF[col].022[col]17.4[col]4.6[col]0.0[col]1.2[col]0.0[col]13.9[col]1.3[col]7.9[col]18.6[col]0.0[col]0.0[col]0.0[col]2.8[col]2.8[col]8.3[/table]
Tendencies
[table][mrow]Player[mcol]Pos[mcol]Pt%[mcol]2jR[mcol]3pR[mcol]2cR[mcol]2dR[mcol]FtR[mcol]AsR[mcol]ToR
[row]johnson,joe[col]SG[col].842[col]31.9[col]18.8[col]11.4[col]0.6[col]7.1[col]20.1[col]9.4
[row]smith,josh[col]PF[col].723[col]24.0[col]5.3[col]24.4[col]6.1[col]11.1[col]14.7[col]13.2
[row]williams,marvin[col]SF[col].696[col]45.8[col]0.7[col]14.2[col]6.1[col]13.2[col]10.1[col]9.3
[row]horford,al[col]C[col].640[col]32.8[col]0.5[col]22.9[col]7.2[col]9.1[col]12.1[col]13.4
[row]childress,josh[col]SF[col].573[col]9.2[col]6.6[col]34.7[col]9.5[col]13.3[col]12.9[col]10.8
[row]johnson,anthony[col]PG[col].282[col]26.3[col]11.8[col]11.0[col]1.0[col]2.6[col]37.9[col]9.4
[row]bibby,mike[col]PG[col].277[col]24.3[col]25.4[col]6.1[col]0.0[col]4.1[col]29.2[col]11.0
[row]pachulia,zaza[col]C[col].237[col]24.5[col]0.7[col]28.2[col]2.4[col]16.1[col]8.6[col]16.5
[mrow]Player[mcol]Pos[mcol]Pt%[mcol]2jR[mcol]3pR[mcol]2cR[mcol]2dR[mcol]FtR[mcol]AsR[mcol]ToR
[row]law,acie[col]PG[col].218[col]23.1[col]8.0[col]23.9[col]0.6[col]4.9[col]26.5[col]13.1
[row]lue,tyronn[col]PG[col].142[col]33.8[col]23.9[col]10.2[col]0.0[col]4.3[col]20.4[col]7.6
[row]williams,shelden[col]C[col].104[col]32.7[col]0.7[col]24.5[col]4.1[col]15.3[col]7.5[col]9.5
[row]stoudamire,salim[col]PG/SG[col].101[col]31.4[col]33.9[col]6.5[col]0.0[col]8.8[col]11.2[col]8.4
[row]west,mario[col]SG/PG[col].068[col]9.5[col]4.9[col]32.9[col]8.4[col]14.0[col]15.9[col]11.0
[row]wright,lorenzen[col]C[col].037[col]27.9[col]0.0[col]27.9[col]4.1[col]10.6[col]12.0[col]8.0
[row]jones,solomon[col]C[col].037[col]14.0[col]4.0[col]28.2[col]12.0[col]17.6[col]0.0[col]22.0
[row]richardson,jeremy[col]SF[col].022[col]44.2[col]33.3[col]8.6[col]0.0[col]0.0[col]0.0[col]13.9[/table]
Defensive Stats
[table][mrow]Player[mcol]Pos[mcol]Pt%[mcol]Dto%[mcol]Dms%[mcol]Fmt%[mcol]Dpp[mcol]Sto[mcol]StpPG[mcol]Stp36[mcol]Stop
[row]johnson,joe[col]SG[col].842[col]11.2[col]49.2[col]11.8[col]97.5[col]44%[col]8.3[col]7.4[col]10.3%
[row]smith,josh[col]PF[col].723[col]11.9[col]50.4[col]12.1[col]94.0[col]57%[col]9.9[col]10.2[col]13.4%
[row]williams,marvin[col]SF[col].696[col]11.0[col]47.7[col]11.3[col]99.2[col]42%[col]7.1[col]7.5[col]9.7%
[row]horford,al[col]C[col].640[col]14.2[col]49.3[col]10.1[col]94.1[col]44%[col]6.2[col]7.2[col]8.9%
[row]childress,josh[col]SF[col].573[col]11.3[col]49.8[col]11.5[col]97.1[col]47%[col]6.4[col]7.8[col]10.6%
[row]johnson,anthony[col]PG[col].282[col]16.7[col]55.7[col]13.0[col]82.8[col]53%[col]6.4[col]8.8[col]11.9%
[row]bibby,mike[col]PG[col].277[col]9.6[col]50.3[col]13.8[col]94.2[col]45%[col]7.8[col]8.6[col]11.9%
[row]pachulia,zaza[col]C[col].237[col]14.3[col]48.1[col]11.0[col]94.2[col]40%[col]3.1[col]7.4[col]9.0%
[mrow]Player[mcol]Pos[mcol]Pt%[mcol]Dto%[mcol]Dms%[mcol]Fmt%[mcol]Dpp[mcol]Sto[mcol]StpPG[mcol]Stp36[mcol]Stop
[row]law,acie[col]PG[col].218[col]13.5[col]49.5[col]12.5[col]94.2[col]43%[col]3.4[col]8.1[col]10.7%
[row]lue,tyronn[col]PG[col].142[col]16.4[col]49.5[col]11.9[col]89.7[col]47%[col]3.4[col]7.3[col]10.1%
[row]williams,shelden[col]C[col].104[col]16.0[col]46.6[col]10.7[col]94.6[col]44%[col]2.5[col]7.9[col]9.5%
[row]stoudamire,salim[col]PG/SG[col].101[col]13.8[col]50.3[col]13.5[col]92.5[col]44%[col]2.6[col]8.4[col]11.3%
[row]west,mario[col]SG/PG[col].068[col]15.8[col]58.9[col]16.6[col]82.6[col]48%[col]1.3[col]11.1[col]13.8%
[row]wright,lorenzen[col]C[col].037[col]15.4[col]69.2[col]13.9[col]67.9[col]46%[col]2.8[col]8.9[col]10.6%
[row]jones,solomon[col]C[col].037[col]5.3[col]48.1[col]10.5[col]112.5[col]27%[col]0.8[col]7.3[col]7.5%
[row]richardson,jeremy[col]SF[col].022[col]10.8[col]45.2[col]10.2[col]99.1[col]35%[col]0.8[col]6.2[col]7.9%[/table]
Scoring Breakdown
[table][mrow]Player[mcol]Pos[mcol]Pt%[mcol]Jmp36[mcol]3pt36[mcol]Ins36[mcol]Ftm36[mcol]DNKS[mcol]TIPS
[row]johnson,joe[col]SG[col].842[col]12.4[col]5.5[col]3.6[col]3.5[col]13[col]4
[row]smith,josh[col]PF[col].723[col]4.2[col]1.0[col]9.3[col]4.2[col]110[col]11
[row]williams,marvin[col]SF[col].696[col]6.8[col]0.0[col]4.4[col]4.4[col]74[col]3
[row]horford,al[col]C[col].640[col]3.8[col]0.0[col]5.8[col]2.2[col]69[col]8
[row]childress,josh[col]SF[col].573[col]1.8[col]1.1[col]9.0[col]3.6[col]76[col]16
[row]johnson,anthony[col]PG[col].282[col]5.8[col]2.6[col]2.6[col]0.8[col]4[col]0
[row]bibby,mike[col]PG[col].277[col]12.2[col]6.9[col]1.4[col]1.8[col]0[col]0
[row]pachulia,zaza[col]C[col].237[col]2.5[col]0.0[col]5.8[col]4.2[col]10[col]4
[mrow]Player[mcol]Pos[mcol]Pt%[mcol]Jmp36[mcol]3pt36[mcol]Ins36[mcol]Ftm36[mcol]DNKS[mcol]TIPS
[row]law,acie[col]PG[col].218[col]3.7[col]0.9[col]4.7[col]1.6[col]2[col]0
[row]lue,tyronn[col]PG[col].142[col]11.1[col]5.8[col]2.0[col]1.6[col]0[col]0
[row]williams,shelden[col]C[col].104[col]2.8[col]0.0[col]3.8[col]3.1[col]4[col]1
[row]stoudamire,salim[col]PG/SG[col].101[col]12.9[col]7.9[col]1.6[col]3.7[col]0[col]0
[row]west,mario[col]SG/PG[col].068[col]0.5[col]0.0[col]5.2[col]2.3[col]6[col]0
[row]wright,lorenzen[col]C[col].037[col]0.5[col]0.0[col]2.0[col]0.7[col]1[col]1
[row]jones,solomon[col]C[col].037[col]1.0[col]0.0[col]5.0[col]2.8[col]4[col]0
[row]richardson,jeremy[col]SF[col].022[col]11.2[col]6.2[col]1.7[col]0.0[col]0[col]0[/table]
More Random Stuff...
[table][mrow]Player[mcol]Pos[mcol]Pt%[mcol]FSh[mcol]LSh[mcol]Pass%[mcol]uFG[mcol]CrP36[mcol]FlDr[mcol]BHR
[row]johnson,joe[col]SG[col].842[col]4.9%[col]20.2%[col]83.0%[col].225[col]10.1[col]7.2%[col]16.3
[row]smith,josh[col]PF[col].723[col]4.0%[col]8.6%[col]69.6%[col].165[col]6.3[col]14.4%[col]10.7
[row]williams,marvin[col]SF[col].696[col]2.1%[col]4.6%[col]75.7%[col].115[col]3.9[col]13.6%[col]8.5
[row]horford,al[col]C[col].640[col]2.7%[col]4.9%[col]74.7%[col].160[col]3.8[col]11.1%[col]8.5
[row]childress,josh[col]SF[col].573[col]3.5%[col]1.0%[col]77.0%[col].211[col]5.3[col]17.1%[col]11.4
[row]johnson,anthony[col]PG[col].282[col]1.3%[col]10.2%[col]89.0%[col].155[col]3.4[col]3.4%[col]19.6
[row]bibby,mike[col]PG[col].277[col]5.1%[col]5.9%[col]78.5%[col].161[col]5.9[col]3.5%[col]23.2
[row]pachulia,zaza[col]C[col].237[col]3.5%[col]4.3%[col]69.2%[col].162[col]4.6[col]17.4%[col]8.2
[mrow]Player[mcol]Pos[mcol]Pt%[mcol]FSh[mcol]LSh[mcol]Pass%[mcol]uFG[mcol]CrP36[mcol]FlDr[mcol]BHR
[row]law,acie[col]PG[col].218[col]7.1%[col]13.5%[col]85.0%[col].265[col]6.5[col]7.0%[col]13.1
[row]lue,tyronn[col]PG[col].142[col]4.6%[col]20.9%[col]80.8%[col].272[col]9.0[col]3.1%[col]25.9
[row]williams,shelden[col]C[col].104[col]3.5%[col]0.0%[col]73.3%[col].130[col]3.4[col]14.9%[col]33.5
[row]stoudamire,salim[col]PG/SG[col].101[col]5.2%[col]0.0%[col]80.0%[col].105[col]5.3[col]7.8%[col]7.6
[row]west,mario[col]SG/PG[col].068[col]5.1%[col]0.0%[col]86.7%[col].184[col]3.4[col]14.7%[col]9.5
[row]wright,lorenzen[col]C[col].037[col]2.0%[col]15.2%[col]75.0%[col].176[col]2.0[col]13.6%[col]0.0
[row]jones,solomon[col]C[col].037[col]10.1%[col]2.4%[col]0.0%[col].168[col]3.8[col]14.6%[col]3.8
[row]richardson,jeremy[col]SF[col].022[col]3.5%[col]13.3%[col]0.0%[col].130[col]3.7[col]0.0%[col]4.9[/table]
Player Wins/Losses
[table][mrow]Player[mcol]Pos[mcol]W[mcol]L[mcol]Diff
[row]johnson,joe[col]SG[col]6.4[col]9.4[col]-3.1
[row]smith,josh[col]PF[col]5.5[col]7.9[col]-2.5
[row]williams,marvin[col]SF[col]4.9[col]6.6[col]-1.7
[row]horford,al[col]C[col]4.3[col]4.5[col]-0.3
[row]childress,josh[col]SF[col]4.4[col]3.9[col]+0.5
[row]johnson,anthony[col]PG[col]1.7[col]2.1[col]-0.4
[row]bibby,mike[col]PG[col]1.7[col]3.3[col]-1.6
[row]pachulia,zaza[col]C[col]1.7[col]2.0[col]-0.3
[mrow]Player[mcol]Pos[mcol]W[mcol]L[mcol]Diff
[row]law,acie[col]PG[col]1.1[col]2.3[col]-1.3
[row]lue,tyronn[col]PG[col]1.0[col]1.2[col]-0.2
[row]williams,shelden[col]C[col]0.6[col]0.8[col]-0.2
[row]stoudamire,salim[col]PG/SG[col]0.7[col]1.3[col]-0.6
[row]west,mario[col]SG/PG[col]0.6[col]0.4[col]+0.2
[row]wright,lorenzen[col]C[col]0.2[col]0.2[col]+0.1
[row]jones,solomon[col]C[col]0.2[col]0.4[col]-0.2
[row]richardson,jeremy[col]SF[col]0.1[col]0.2[col]-0.1[/table]

[benji]

Testing...considering making a 2007-08 statistical review thread:
First, C/PFs. Minimum of 410 minutes.

% of touches that ended with a two point jumper:
[table][mrow]Player[mcol]Team[mcol]Min[mcol]2jR%
[row]allen,malik[col]tot[col]1096[col]64.0
[row]thomas,kurt[col]tot[col]1584[col]55.3
[row]outlaw,travis[col]por[col]2186[col]54.2
[row]smith,joe[col]tot[col]1726[col]51.9
[row]mcdyess,antonio[col]det[col]2285[col]51.6
[row]frye,channing[col]por[col]1342[col]51.6
[row]krstic,nenad[col]njn[col]812[col]51.5
[row]elson,francisco[col]tot[col]813[col]49.9
[row]petro,johan[col]sea[col]1310[col]48.9
[row]aldridge,lamarcus[col]por[col]2649[col]48.5
[row]...
[row]biedrins,andris[col]gsw[col]2078[col]7.6
[row]jones,dwayne[col]cle[col]472[col]6.1
[row]dampier,erick[col]dal[col]1755[col]5.2
[row]przybilla,joel[col]por[col]1819[col]5.0
[row]ruffin,michael[col]mil[col]632[col]3.7[/table]
FG% on those two point jumpers:
[table][mrow]Player[mcol]Team[mcol]Min[mcol]2jFG%
[row]bass,brandon[col]dal[col]1557[col].493
[row]allen,malik[col]tot[col]1096[col].488
[row]nowitzki,dirk[col]dal[col]2769[col].486
[row]garnett,kevin[col]bos[col]2328[col].478
[row]stoudemire,amare[col]pho[col]2677[col].472
[row]okur,mehmet[col]uta[col]2390[col].465
[row]landry,carl[col]hou[col]711[col].455
[row]frye,channing[col]por[col]1342[col].452
[row]oberto,fabricio[col]sas[col]1646[col].451
[row]thomas,kurt[col]tot[col]1584[col].449
[row]...
[row]curry,eddy[col]nyk[col]1530[col].151
[row]przybilla,joel[col]po[col]1819[col].149
[row]anthony,joel[col]mia[col]498[col].111
[row]jones,dwayne[col]cle[col]472[col].104
[row]ruffin,michael[col]mil[col]632[col].000[/table]
% of touches ending with a three pointer:
[table][mrow]Player[mcol]Team[mcol]Min[mcol]3pR%
[row]cardinal,brian[col]mem[col]440[col]45.3
[row]walker,antoine[col]min[col]892[col]38.0
[row]cook,brian[col]tot[col]629[col]37.2
[row]bonner,matt[col]sas[col]853[col]35.9
[row]horry,robert[col]sas[col]580[col]35.0
[row]lewis,rashard[col]orl[col]3076[col]34.9
[row]harrington,al[col]gsw[col]2190[col]33.1
[row]croshere,austin[col]gsw[col]457[col]30.0
[row]scalabrine,brian[col]bos[col]512[col]27.2
[row]wallace,rasheed[col]det[col]2346[col]27.2[/table]
% of touches ending with a non-dunk shot in the paint:
[table][mrow]Player[mcol]Team[mcol]Min[mcol]2cR%
[row]foyle,adonal[col]orl[col]774[col]50.6
[row]biedrins,andris[col]gsw[col]2078[col]45.0
[row]smith,craig[col]min[col]1547[col]42.1
[row]gray,aaron[col]chi[col]613[col]41.9
[row]hayes,chuck[col]hou[col]1575[col]40.2
[row]curry,eddy[col]nyk[col]1530[col]39.8
[row]davis,glen[col]bos[col]940[col]39.0
[row]johnson,amir[col]det[col]764[col]37.2
[row]evans,reggie[col]phi[col]1879[col]36.7
[row]ely,melvin[col]noh[col]621[col]36.7
[row]...
[row]scalabrine,brian[col]bos[col]512[col]8.3
[row]horry,robert[col]sas[col]580[col]7.7
[row]allen,malik[col]tot[col]1096[col]7.6
[row]outlaw,travis[col]por[col]2186[col]7.4
[row]wallace,rasheed[col]det[col]2346[col]6.8[/table]
% of touches ending with a dunk: (the bottom five are the only ones with no dunks)
[table][mrow]Player[mcol]Team[mcol]Min[mcol]2dR%
[row]chandler,tyson[col]noh[col]2783[col]21.0
[row]bynum,andrew[col]lal[col]1008[col]19.9
[row]przybilla,joel[col]por[col]1819[col]18.7
[row]landry,carl[col]hou[col]711[col]18.1
[row]howard,dwight[col]orl[col]3088[col]16.8
[row]martin,kenyon[col]den[col]2159[col]16.5
[row]williams,sean[col]njn[col]1278[col]16.5
[row]mutombo,dikembe[col]hou[col]619[col]16.4
[row]dalembert,samuel[col]phi[col]2724[col]15.6
[row]dampier,erick[col]dal[col]1755[col]15.5
[row]...
[row]oberto,fabricio[col]sas[col]1646[col]0.0
[row]songalia,darius[col]was[col]1554[col]0.0
[row]walker,antoine[col]min[col]892[col]0.0
[row]cardinal,brian[col]mem[col]440[col]0.0
[row]cook,brian[col]tot[col]629[col]0.0[/table]
% of touches ending with a free throw:
[table][mrow]Player[mcol]Team[mcol]Min[mcol]FtR%
[row]jones,dwayne[col]cle[col]472[col]24.9
[row]howard,dwight[col]orl[col]3088[col]22.7
[row]hollins,ryan[col]cha[col]532[col]21.3
[row]anthony,joel[col]mia[col]498[col]21.1
[row]ruffin,michael[col]mil[col]632[col]20.8
[row]powe,leon[col]bos[col]809[col]20.6
[row]collins,jarron[col]uta[col]702[col]18.7
[row]evans,reggie[col]phi[col]1879[col]17.9
[row]maxiell,jason[col]det[col]1768[col]17.4
[row]davis,glen[col]bos[col]940[col]17.4
[row]...
[row]songalia,darius[col]was[col]1554[col]4.5
[row]nesterovic,rasho[col]tor[col]1486[col]3.4
[row]cook,brian[col]tot[col]629[col]3.0
[row]hayes,chuck[col]hou[col]1575[col]2.7
[row]allen,malik[col]tot[col]1096[col]2.6[/table]
% of touches ending with a pass (assist or turnover):
[table][mrow]Player[mcol]Team[mcol]Min[mcol]PaR%
[row]diaw,boris[col]pho[col]2308[col]33.5
[row]hayes,chuck[col]hou[col]1575[col]31.4
[row]horry,robert[col]sas[col]580[col]30.5
[row]camby,marcus[col]den[col]2758[col]30.4
[row]scalabrine,brian[col]bos[col]512[col]30.2
[row]miller,brad[col]sac[col]2513[col]28.2
[row]collins,jarron[col]uta[col]702[col]27.6
[row]barnes,matt[col]gsw[col]1414[col]26.5
[row]foster,jeff[col]ind[col]1883[col]25.2
[row]songalia,darius[col]was[col]1554[col]25.0
[row]...
[row]smith,jason[col]phi[col]1107[col]7.7
[row]curry,eddy[col]nyk[col]1530[col]6.5
[row]powe,leon[col]bos[col]809[col]5.3
[row]mutombo,dikembe[col]hou[col]619[col]4.9
[row]anthony,joel[col]mia[col]498[col]4.9[/table]
% of touches ending with a non-passing turnover:
[table][mrow]Player[mcol]Team[mcol]Min[mcol]ToR%
[row]jamison,antawn[col]was[col]3060[col]3.4
[row]moon,jamario[col]tor[col]2166[col]3.6
[row]camby,marcus[col]den[col]2758[col]3.8
[row]wallace,rasheed[col]det[col]2346[col]3.9
[row]horry,robert[col]sas[col]580[col]4.0
[row]nowitzki,dirk[col]dal[col]2769[col]4.2
[row]lewis,rashard[col]orl[col]3076[col]4.5
[row]thomas,tim[col]lac[col]1940[col]4.7
[row]mcdyess,antonio[col]det[col]2285[col]4.8
[row]najera,eduardo[col]den[col]1664[col]4.8
[row]...
[row]johnson,alexander[col]mia[col]549[col]15.7
[row]harrison,david[col]ind[col]702[col]16.5
[row]przybilla,joel[col]por[col]1819[col]19.6
[row]collins,jason[col]tot[col]1172[col]19.6
[row]armstrong,hilton[col]noh[col]732[col]19.9[/table]

[shadowgrin]

brian cardinal, fatoine, foyle, and aaron gray FTW!!!
Eddy Curry is truly a piece of heavy shite.
Surprising the Deke's shots ends with a dunk.