armchairgm
all sports, all you
+ Add Friends
You are not logged-in.
Sign Up - Log In
Main Page
Sports
Write
Articles
Hot Links
Images
Meet People
Fun
Explore
MLB - NFL - NBA - NHL - College Basketball - College Football - Soccer - Nascar - Other
Article - Locker Room Discussion
All Articles - New Articles - Today's Articles
Submit a Link - Approve Links
Picture Game - Ratings - Polls - Pick Game - Quiz Game - Spring Silliness
Random Page - Random Image - Random Fan
Edit
Page history Discuss pageWhat links here

Did John Hollinger Just Write The Most Important Basketball Article Of Our Generation?

14
Vote

by user Wade Garrett

This article by ESPN's John Hollinger might be the most important basketball article I've ever read. Let me explain.

There's a famous baseball writer named Bill James. James believed that, when baseball players were evaluated, too much emphasis was placed on one or two specific skills (namely, batting average and fielding percentage for position players, and ERA and wins for pitchers. Over a span of about twenty years, James refined a formula to evaluating a baseball player's overall game, incorporation often-overlooked statistics such as on-base percentage, slugging percentage, stolen base percentage, range factor, and, for pitchers, baserunners allowed per nine innings. What James found was that the very most elite players in the game (as measured by traditional means) finished near the top of his ranking system. However, for a significant number of players, there were significant discrepancy between the perceived value and their ranking under James' system. Eventually, teams realized that, if James' system correctly ranked the best players, but ranked the rest of the league's players in suprsing ways, then there was a potential market in hiring under-valued players away from other teams, and letting other teams sign away your over-valued players.

Hollinger has invented or popularized a number of important basketball statistics, particularly in the area of handicapping a player's statistics based upon the tempo at which his team plays. In his most recent article, he has created a scale on which the future value of every player is represented by a simple number. Generally, solid NBA prospects score 500 or higher. Sure-fire all-stars score in the seven-hundreds. Kevin Durant just scored 870. The next-highest score since the year 2002 was Carmello Anthony, who scored 780. Greg Oden scored 667, while his teammate Michael Conley scored 637. This tells us a couple of things: Durant isn't just a stud, he is potentially a once-in-a-generation talent. Secondly, it emphasizes the degree to which Oden's success is, at least in part, helped by playing with Conley, and, to a lesser extent, Daequan Cook (470).

Its not a perfect system. For one thing, statistics don't reveal as much about a basketball player as they do about a baseball player, due to the team nature of the game. The system is based on black-and-white statistics, and, as Tim Duncan has recently shown us, the players whose statistics most understate their true value are dominant defensive big men (who alter or deter a lot of shots that do not end up in the box score.) Futhermore, an important statistic in Hollinger's system is "Usage Rate," or, in layman's terms, the percentage of possessions that end with the ball in a given player's hands. Players on great teams take fewer shots than they would if they were by far the best player on an otherwise lousy team, and there's no real way to adjust for this, because you can't ever definitively say exactly how many more or less shots a player would take in a different situation. This handicaps, for instance, University of Florida players Joakim Noah, Corey Brewer and Al Horford. All three are thought of as being among the top seven or eight college players in the country, so presumably they each had lower usage rates than they would have if they were carrying the flag for, say, a mid-tier major conference school like Oregon State or West Virginia.

Another significant factor is that Hollinger's formula takes age into account, so that a player who puts up a given stat line at age 19 is considerably more valuable than another player who puts up the same stat-line at, say, age 22. This handicapping makes sense, but not as much sense as it makes in baseball, where everybody, even first-ballot hall of famers, spend several years in the minor leagues before breaking into the Majors. Thus, an older draft pick may very well be in his mid-20's by the time he reaches the majors (like Ryan Howard) and thus have a far shorter productive career than somebody like Ken Griffey Jr. who reached the majors at a younger age than most players are when they are drafted. Baseball is set up to allow players with great tools to hone their skills before being having to face the best competition in the world. on the other hand, in basketball, lottery picks are expected to contribute right away, and more than one talented young player has been run out onto the court before he was ready, only to have the fans turn on him, his confidence destroyed, or suffer serious injury. (In baseball, Darko would have been in the minor leagues until the start of this season - he's still only 21 years old!) With the age handicap, Marvin Williams came out ahead of the older Deron Williams in 2005, but that doesn't change the fact that Marvin is still learning the ropes while Deron is leading his team to the Western Conference Finals. Marvin could easily be playing for another team by the time he reaches his full potential.

Hollinger's is not a perfect system. Having said that, the current drafting process, which relies more on measuring, say, a player's vertical leap and shuttle time in a vacumn, without a ball in his hands, or by watching him take jumpshots in an empty gym without defenders on the court, is deeply flawed, and Hollinger's system is an enormous potential improvement. The important thing is that he put something out there which, presumably, smart people will tweak and refine over the next several years. Hopefully, this will mean fewer expensive busts and quick rebuilding turn-arounds for perpetually bad franchises like the Atlanda Hawks and Memphis Grizzlies.

Wade Garrett lives in Brooklyn, New York. He blogs at www.commonsensedancing.blogspot.com


Enable Comment Auto-Refresher
CoupSoccer Kid
914 days ago
Score -1+-
the Hawks and Grizzlies suck because of bad management, not because they didn't have certain equations. Hollinger is good with the stats, but most teams have their own variations of equations that they think produces the best results. And who chooses which equations to help them in their process, GM's. Its a nice try by John boy, and you provide some very nice background information, but like you said, it is very impossible to measure basketball by numbers, and that is the great thing about the sport. Nobody can shove a bunch of numbers in my face and tell me so and so was better than someone else based on their stats.
Permalink | Reply
Davis21wylieMVP
914 days ago
Score 1+-
Correction: It's impossible to measure basketball value by PER, John Hollinger's (overrated) "Holy Grail"-type stat. But it's eminently possible to measure basketball value by using the right numbers...
Permalink
KelsdadAll-Star
914 days ago
Score 1+-
Not quite that drastic, maybe, but certainly one worth reading...and remembering. Thanks for sharing.
Permalink | Reply
Davis21wylieMVP
914 days ago
Score 2+-
I actually didn't like Hollinger's piece anywhere near as much as I like the work Ed Weiland's been doing in his HoopsAnalyst draft preview. Much like Hollinger, Weiland looked at what college stats predict NBA success, but he also recognizes that different positions have different stats that predict success, and that there is no absolute (and arbitrary) number you can put on a prospect to determine his future value, but rather that there are shades of value (you can use stats to put guys in broad categories like "future all-stars" or "future regulars", but you can rarely separate the players within each category from one another with any accuracy). In other words, Hollinger's method is okay-ish, and it's admittedly "Version 1.0", but it's not really all that great -- or groundbreaking -- at the moment.
Permalink | Reply
StumptownJV Squad
914 days ago
Score 1+-
I usually think Hollinger's numbers don't paint an accurate picture, but I think he is on to something here. I think it needs some tweaks, but I also think it is pretty startlingly accurate. Brewer will be another good early test case. He seems to be a consensus top 8 pick this year and Hollinger projects him at 30. We will see I guess. But I don't think it is the new Money Ball for Hoops or anything like that. My guess is at least half the GMs around the league use some kind of formula like this and some I'm sure are more developed. I don't think it is coincidence that some teams always seem to get it right. I know for example that Pritchard in Portland has some statistical model that he is ultra proud of. I liked the article, but let's not go overboard. Still, good post here.
Permalink | Reply
JasonComackJV Squad
914 days ago
Score 0+-
Excellent article, very well done however a few points. James and James's followers also thought the RBI was an overrated stat. They thought this because the RBI stat depended on teammates having the ability to get on base. Therefore it wasn't necessarily a true measure of one persons ability. With that being said I think it's alot harder to judge NBA players on a pure statistical basis. There's to many factors, like Teammates and Style of Play, or tempo (also something that doesn't exist in baseball) to use stats as the true measure of sizing up players.
Permalink | Reply
Add your Comment
ArmchairGM welcomes all comments. If you don't want to be anonymous, Register or Login. It's free


Retrieved from "http://armchairgm.wikia.com/Did_John_Hollinger_Just_Write_The_Most_Important_Basketball_Article_Of_Our_Generation%3F"

This page was last modified 05:24, 27 June 2007. Content is available under the GFDL.

Contribute

ArmchairGM's pages can be edited.
Is this page incomplete? Is there anything wrong?
Change it!

Edit this page Discuss this page Page history

Recent contributors to this page

The following people recently contributed to this article.

Embed this on your site

Main Page About Special Pages Help Terms of Use Advertise