The Wages of Wins Journal

Looking Back at the NBA Draft, Part One

July 11, 2007 · 9 Comments

The NBA Draft was two weeks ago. Before the draft Erich Doerr offered a few thoughts on which players teams should consider or avoid. Now that the draft is in the books we can now focus our full attention on the players actually selected.

Of the 60 players chosen, 47 players played college basketball last season. So we have some information on these players. But how good is this information?

My answer to this question is going to come in two parts. Today I am going to review the 2006 NBA Draft. Tomorrow I will look at the players selected last month.

Draft Research

Analyzing the NBA Draft has been a part of my research agenda for a few years. So far I have two conference presentations to show for this effort. My hope is to do quite a bit more this summer. Of course, ideally I would have done quite a bit more before the draft this year, but other commitments got in the way.

Although I have been looking at this for years, my research on the topic is still far from complete. Here are some tidbits I have learned so far.

First of all, there is a statistical relationship between what a player does his last year in college and what he does his first year in the NBA. Specifically, from 1994 to 2005 there is a 0.69 correlation between a player’s Win Score per minute his last year in college and his Win Score per minute his rookie season in the NBA. In other words, if we shift from correlation coefficient (or r) to r-squared, about 47% of what a player does on a per-minute basis his rookie season can be explained by what he did the previous season in college.

To put this in perspective, in The Wages of Wins we report that a baseball player’s OPS last season explains 33% of his OPS this season. This means the correlation coefficient between OPS this year and last year is only 0.57. So college performance in basketball predicts a rookie’s NBA performance better than a veteran baseball player’s performance predicts his future production in Major League Baseball.

There is an apples and oranges issue in comparing basketball and baseball numbers. Still, I think one could argue that basketball numbers tell us more about the future than baseball numbers. In this sense, basketball numbers are better.

That being said, the numbers are not a crystal ball. Yes, there is a statistical relationship between what we see in college and the pros, but it’s not a perfect relationship. Or to put it another way… the college numbers tell us something, but not everything.

The 2006 NBA Draft

To see this point, consider the 2006 NBA draft. Back in May I reviewed the All-Rookie teams for the 2006-07 season. This analysis, repeated in Tables One and Two, indicates that the top rookies this past season were Rajon Rondo, Brandon Roy, Paul Milsap, Renaldo Balkman, and Craig Smith.

Table One: The 2007 All-Rookie Teams

Table Two: The 2007 All-Rookie Wins Produced Teams

Each of these player played college basketball in 2005-06. Could their performance have told us that these players were going to be the best rookies in 2006-07?

Table Three looks at the 26 rookies who both played college basketball in 2005-06 and at least 500 minutes in the NBA in 2006-07. The players are ranked in terms of their Position Adjusted Win Score per minute (PAWSmin) in college, as well as both their rookie season WP48 (Wins Produced per 48 minutes), and where they were taken in the draft.

Table Three: Reviewing the 2006 NBA Draft

From this table we see that each of the top five players in College PAWSmin finished in the top ten in WP48. In other words, just looking at the college numbers one could have suspected that Renaldo Balkman was going to be a productive pro (and that the New York fans should not have booed this selection).

Looking at the end of the list we see that none of the players ranked in the bottom ten in College PAWSmin finished in the top ten in WP48. In other word, Isiah Thomas – the same man who took Balkman – should have suspected that Mardy Collins might not be that productive in 2006-07.

Thomas should not feel too bad about these results. Overall we see that College PAWSmin is a better predictor of rookie performance than draft position. In sum, it does look like NBA decision-makers make mistakes in evaluating college players (so Isiah is not alone in making “mistakes”). The extent of these mistakes is what I will be looking into this summer.

For tomorrow, though, I want to look at the 2007 NBA draft. Which players are the best candidates to produce in 2007-08? Which players are not likely to help much next season? And did Isiah Thomas pick another winner last month?

Again, my answers will be posted tomorrow. Hopefully sometime this weekend I will get back to the discussion of position adjustments. Not sure there is much more to say on this topic, but I will offer at least one more post.

- DJ

Categories: Basketball Stories

9 responses so far ↓

  • MT // July 11, 2007 at 1:11 pm

    I think the rookie year of a NBA player is very often an outlier in his career. So often players are drafted as projects. A meaningful percentage of a rookie’s stats are garbage time stats or come against other backups, and aren’t fully representative. Finally, rookies get a big benefit from the way WoW handles defense. Despite their own individual defensive limitations, they get credit for a share of the team’s defense. Neither Marcus Williams nor Bargnani can defend anybody! I’d be curious to what extent
    his college winscore correlates to his 2nd or 3rd year
    performance. A funny thing about your 06 list, DB, is that it’s one of the few WoW lists that isn’t dominated by 4’s and 5’s. Must be a very weak rebounding class.

  • Mr. Parker // July 11, 2007 at 10:49 pm

    Been lurking for a while on your site.
    I still can’t wrap my head around why
    you use a position adjustment. It gets the
    job done but in the same way that you can
    use a rusty axe to chop down a tree.

    I’ll be sitting around waiting for you to get
    that new axe blade. Until then keep up the good
    work. I don’t think any of the other main
    basketball writers can hold a candle to your
    work.

    Although the b-reference dude took the playoff
    title that is not really what your work is
    aiming for. Those guys use the four factors
    which helps a little more as far as
    matchups and team strengths/weaknesses are
    concerned.

  • Celtics 24/7 » Blog Archive » Today’s Links 7/12 // July 12, 2007 at 7:52 am

    [...] to AAU’s Connecticut Select   The Star   Action heats up in the Atlantic Wages of Wins   Looking back at the NBA draft    Boston Dirt Dogs   A day in the life of Danny Ainge  The Bratwurst  Thoughts on Yi vs the [...]

  • Looking Back at the NBA Draft, Part Two « The Wages of Wins Journal // July 12, 2007 at 11:42 am

    [...] on July 12th, 2007. In Part One of this post I looked at the link between college performance and what a player does his…. The analysis revealed that there is a link. Furthermore, it appears that college performance is a [...]

  • Tball // July 12, 2007 at 12:19 pm

    I agree with MT. As you noted “College PAWSmin is a better predictor of rookie performance than draft position.” But many GMs admit they take players as “projects”, so one wouldn’t expect draft position to be a reliable predicator of rookie performance.

    May be more informative to go to the 2004 rookie draft and compare College PAWSmin against performance over the life of a rookie contract (after which most teams loose much of their draft-related financial advantage with players).

  • Knicksfan20 // July 12, 2007 at 5:06 pm

    Great info dude, i will be reading tomarrow. Renaldo is a gem and i cant wait to see what he can do with more nba experience

  • NBAFan2 // July 13, 2007 at 11:47 am

    Would you mind posting a scatter plot of the data? That would be an interesting visual.

  • Erich // July 21, 2007 at 5:46 pm

    There were 3 bigs that Win Scores evaluated highly yet they didn’t reach the 500 minute benchmark.
    Paul Davis, James Augustine, and Patrick O’Bryant each got off to slow NBA starts. Combined, they totaled 305 minutes which is disheartening given the value of the 9th, 34th, and 41st picks.

    Perhaps their high collegiate win scores were due to the shortage of equally tall people at the college level, or maybe they are three good examples of where Win Scores do not translate well to the pro game. I’m hoping for an alternative explanation, such as bigs take more time to develop.

  • brianS // June 19, 2008 at 9:48 am

    Doesn’t restricting your attention to rookies with 500+ minutes played introduce a selection bias? You are, in effect, selecting on the dependent variable (rookie productivity), since min/g surely is related to productivity.

    or is this discussed somewhere? (obviously, I’m something of a noob here)

    Not that I have a solution at hand….

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