Ranking the Best Playmakers at Every Position in the 2013 NBA Draft
To succeed in the NBA, draft prospects either have to make plays on offense or play stellar enough defense that they can prevent opponents from making plays of their own.
In this article, the latter method for success is irrelevant. Defense is completely thrown out of the equation, and we're only looking at the playmaking ability of the prospects set to be selected in the 2013 NBA draft.
Please note that these are not overall rankings of the players in question.
So, that begs the question: What exactly is playmaking?
Unfortunately, there's a common misconception that it comprises solely of a player's ability to create opportunities for other players. That's not the case, though.
Playmaking certainly does involve helping out teammates, but a player's own scoring ability needs to be factored in as well. Why should a play you make by yourself count any less than one you create for a teammate?
In order to quantify playmaking, I created a metric called playmaker rating (PlayRtg). Creative name, I know. You can see how it was derived on the next slide.
Using PlayRtg, we'll be looking at each position, one by one. Players were eligible to be ranked if they (a) played college basketball during the 2012-13 season and (b) were present in DraftExpress' latest list of the Top 100 prospects.
Now let's see if the guys you expect to pop out on top managed to do so.
Note: All stats, unless otherwise indicated, come from Sports-Reference.com/cbb/.
Playmaker Rating
1 of 31Playmaker Rating is a fairly simple basketball metric that is quite easy to calculate.
The formula is as follows:
PlayRtg = USG*(PPG+2.26*APG-TPG)/(FGA+0.44*FTA+APG+TPG) where USG = Usage Rate, APG = Assists Per Game, PPG = Points Per Game, TPG = Turnovers Per Game, FGA = Field Goal Attempts Per Game, FTA = Free Throw Attempts Per Game
But how did I come up with it?
It all started following a debate I had with a friend concerning the merits of assist-to-turnover ratio (specifically concerning Russell Westbrook). He argued that it was a basic, simplistic way of analyzing point guard's playmaking abilities. Obviously, a good point guard would have a higher assist-to-turnover ratio because they'd generate more assists than turnovers.
Sure, I'm fine with that. But the stat can get better, and that's where our opinions diverged. He agreed that other things were more telling but didn't think it was necessary.
That's what I'm not fine with.
Playmaking, even for point guards, involves more than just finding open teammates. After all, if your point guard can score in the flow of the offense, isn't that just as valuable as accumulating another assist? To analyze a player's true playmaking ability, scoring needs to be taken into account.
Let's look at the numerator first. Basketball players can do three things to end a possession when they have the ball: score, assist or turn it over. Obviously, points and assists are positive while turnovers are negative.
Points per game needs no coefficient in front because the difference between two-pointers and three-pointers is contained within the stat.
I chose not to put a modifier in front of turnovers per game because a turnover leads to an extra possession for the opposing teams and over the last few seasons, the league average has typically been 1.0 points per possession if you round to the nearest tenth. Essentially, a turnover costs the offensive team a single point on average, and thus there is no need for a coefficient.
So, why the 2.26 in front of assists per game? Put quite simply, not every assist is worth exactly two points of offense. Quite a few assists lead to made three-pointers by teammates.
To find out exactly how often this was the case, I turned to HoopData.com, a site that breaks down where on-court field goals are made and which ones are assisted.
During the 2011-12 season, 15.6 shots per game have been made at the rim, and 52.8 percent of them have been the direct results of assists, indicating that 8.23 assists per game are generated by shots made at the rim. From three to nine feet away, there are 4.1 made shots per game and 39.9 percent of them are assisted, producing another 1.63 assists per game from this area.
From 10 to 15 feet away from the hoop, there are 2.8 makes per game, and 42.8 percent of them are assisted: another 1.20 assists per game. From 16 to 23 feet, there are 7.6 makes, and 59.4 percent of them are assisted: 4.51 more assists per game.
Finally, from behind the three-point arc, there are 6.4 makes per game, and 84.2 percent of them are the result of passes from teammates. That means that 5.39 assists per game lead to three points instead of two.
Adding it all up, there are 20.96 assists per game by the average team in the NBA. 15.57 of them result in two-point shots, leading to 31.14 points per game. The remaining 5.39 come on three-pointers and thus lead to 16.17 points per game. Adding those two numbers up, we see that those 20.96 assists per game lead, on average, to 47.31 points per game.
Simple division therefore tells us that each assist is worth 2.26 points (technically 2.25716) if the sample size is large enough.
Now of course, I would have a terrible statistical mind if I was content to only use data from half of an NBA season. To verify, I went back and checked the results of the 2010-11, 2009-10 and 2008-09 seasons.
Using the same methodology, I found that each assist was worth 2.26 points (technically 2.6002) in 2010-11, 2.25 points (technically 2.2548) in 2009-10 and 2.27 points (technically 2.27129) in 2008-09.
At this point, I was content to accept 2.26 as a valid multiplier for assists per game in the PlayRtg formula.
The last part of the numerator is usage rate.
Incorporating involvement into the formula is necessary because players who are on the court more deserve to be rewarded more for their greater level of positive contributions. Ideally, I would have a modified form of usage rate—one that counted assists as "uses"—to insert into the equation, but that doesn't exist so simple usage rate will have to suffice.
It's one thing to shoot a high percentage in limited action, but another thing entirely to do so while remaining heavily involved in the offense.
Now, as for the denominator of the formula, it is simply a modified version of the formula for individual possessions. The following is taken from an article of mine that explains a number of advanced stats:
There are three ways that a player can be involved in the end result of a possession. They can attempt a field goal (regardless of whether it's a two-pointer or a three-pointer), they can end up on the foul line, or they can turn the ball over. However, simply summing those three results does not provide the number of possessions because shooters can attempt either one, two or three free throws on any given possession.
Box scores don't explain how many shots a player was fouled on, so we have no idea of knowing which fouls resulted in and-1 (for example) without looking through historical play-by-play data.
Just trust me on this one (I've read the studies and they're too complicated to explain in a short space) and accept the fact that the 0.44 multiplier is the best way of estimating the total number of possessions a player is involved in.
The only difference between the denominator of my formula and the equation for possessions is the incorporation of assists. Because we're analyzing the possessions in which a player passes, as well as the ones in which they shoot, the addition is necessary.
It's worth noting that this stat was originally developed to apply to the NBA. It still works for NCAA basketball, but the modifiers are slightly different than they would be otherwise.
-The above description is an updated and modified form of the original explanation, which can be found here.
No. 5 Center: Jack Cooley, Notre Dame, 24.29 Playmaker Rating
2 of 31Points Per Game: 13.1
Assists Per Game: 0.8
Turnovers Per Game: 1.4
Field-Goal Attempts Per Game: 8.5
Free-Throw Attempts Per Game: 4.5
Usage Rate: 22.8
Jack Cooley hasn't gotten much attention in draft conversations, to the point that the Notre Dame center may eventually go undrafted.
That doesn't diminish the work he put in while a member of the Fighting Irish. A massive physical presence, Cooley did most of his damage right around the rim and thrived grabbing offensive rebounds before putting it back up.
He shot 57.9 percent from the field and improved his free-throw percentage to 70.3. For a player who shot only 33.3 percent from the line during his freshman season, that's quite an improvement.
No. 4 Center: Mason Plumlee, Duke, 24.86
3 of 31Points Per Game: 17.1
Assists Per Game: 1.9
Turnovers Per Game: 2.9
Field-Goal Attempts Per Game: 10.3
Free-Throw Attempts Per Game: 7.1
Usage Rate: 24.5
At times, Mason Plumlee looked like he was using his final season with the Duke Blue Devils to become a dominant offensive player. His arsenal of post moves was expanding, and the range on his jumper was as well.
Unfortunately for Mike Krzyzewski, that "at times" is necessary, because Plumlee had trouble maintaining his increased level of offensive play for long stretches.
Much like Cooley, Plumlee's big improvement came at the charity stripe. During his first three seasons, the Duke big man shot 54.3, 44.1 and 52.8 percent. But during the 2012-13 campaign, he knocked them down 68.1 percent of the time.
Not being scared of the free-throw line allowed Plumlee to attack with less hesitance, and it paid off.
No. 3 Center: Brandon Davies, BYU, 30.09
4 of 31Points Per Game: 17.7
Assists Per Game: 2.4
Turnovers Per Game: 2.6
Field-Goal Attempts Per Game: 12.2
Free-Throw Attempts Per Game: 7.1
Usage Rate: 29.8
It's unfortunate, but Brandon Davies is still most famous for being dismissed from the BYU team during Jimmer Fredette's final collegiate season.
Since then, he's been reinstated and has taken over as an offensive star, averaging 17.7 points per game during his senior season. It's probably not going to be enough for him to be anything but an undrafted free agent, but he's still a dynamic scorer.
Davies doesn't have much of a perimeter game, but he's fairly skilled when he gets the ball in the post. He can put it on the floor and work around his defender, and he's a surprisingly good passer for a man of his size and physicality.
No. 2 Center: Kelly Olynyk, Gonzaga, 34.48
5 of 31No. 1 Center: Mike Muscala, Bucknell, 34.99
6 of 31Full Center Rankings
7 of 311. Mike Muscala, Bucknell, 34.99
2. Kelly Olynyk, Gonzaga, 34.48
3. Brandon Davies, BYU, 30.09
4. Mason Plumlee, Duke, 24.86
5. Jack Cooley, Notre Dame, 24.29
6. Colton Iverson, Colorado State, 24.23
7. Zeke Marshall, Akron, 22.71
8. Alex Len, Maryland, 22.27
9. Jeff Withey, Kansas, 21.42
10. Nerlens Noel, Kentucky, 17.29
11. Gorgui Dieng, Louisville, 17.17
12. Steven Adams, Pittsburgh, 16.16
13. DeWayne Dedmon, USC, 13.95
No. 5 Power Forward: Robert Covington, Tennessee State, 26.41
8 of 31No. 4 Power Forward: Jackie Carmichael, Illinois State, 26.91
9 of 31No. 3 Power Forward: Cody Zeller, Indiana, 27.41
10 of 31No. 2 Power Forward: Elias Harris, Gonzaga, 27.93
11 of 31No. 1 Power Forward: Anthony Bennett, UNLV, 28.39
12 of 31Full Power Forward Rankings
13 of 311. Anthony Bennett, UNLV, 28.39
2. Elias Harris, Gonzaga, 27.93
3. Cody Zeller, Indiana, 27.41
4. Jackie Carmichael, Illinois State, 26.91
5. Robert Covington, Tennessee State, 26.42
6. Erik Murphy, Florida, 25.72
7. Laurence Bowers, Missouri, 25.71
8. Ryan Kelly, Duke, 24.90
9. Will Clyburn, Iowa State, 23.72
10. Kenny Kadji, Miami, 22.78
11. C.J. Leslie, N.C. State, 22.20
12. Christian Watford, Indiana, 21.67
13. Ricahrd Howell, N.C. State, 21.07
14. Amatah M'Baye, Oklahoma, 20.73
15. Trevor Mbakwe, Minnesota, 19.56
16. Tony Mitchell, North Texas, 18.46
17. Jamelle Hagins, Delaware, 16.95
18. Arsalan Kazemi, Oregon, 16.50
19. Andre Roberson, Colorado State, 16.45
20. Grant Jerrett, Arizona, 15.24
No. 5 Small Forward: Reggie Bullock, North Carolina, 24.53
14 of 31No. 4 Small Forward: James Ennis, Long Beach State, 24.79
15 of 31No. 3 Small Forward: Shabazz Muhammad, UCLA, 28.16
16 of 31No. 2 Small Forward: Otto Porter, Georgetown, 28.25
17 of 31No. 1 Small Forward: Deshaun Thomas, Ohio State, 30.25
18 of 31Full Small Forward Rankings
19 of 311. Deshaun Thomas, Ohio State, 30.25
2. Otto Porter, Georgetown, 28.25
3. Shabazz Muhammad, UCLA, 28.16
4. James Ennis, Long Beach State, 24.79
5. Reggie Bullock, North Carolina, 24.53
6. Tony Snell, New Mexico, 24.20
7. James Southerland, Syracuse, 23.26
8. Solomon Hill, Arizona, 22.66
9. Adonis Thomas, Memphis, 21.32
10. Travis Releford, Kansas, 19.62
11. Rodney Williams, Minnesota, 19.59
12. D.J. Stephens, Memphis, 15.90
No. 5 Shooting Guard: B.J. Young, Arkansas, 30.24
20 of 31No. 4 Shooting Guard: Kentavious Caldwell-Pope, Georgia, 30.75
21 of 31No. 3 Shooting Guard: Khalif Wyatt, Temple, 34.10
22 of 31No. 2 Shooting Guard: Erick Green, Virginia Tech, 37.87
23 of 31No. 1 Shooting Guard: C.J. McCollum, Lehigh, 42.19
24 of 31Full Shooting Guard Rankings
25 of 311. C.J. McCollum, Lehigh, 42.17
2. Erick Green, Virginia Tech, 37.87
3. Khalif Wyatt, Temple, 34.10
4. Kentavious Caldwell-Pope, Georgia, 30.75
5. B.J. Young, Arkansas, 30.24
6. Seth Curry, Duke, 28.90
7. Jamaal Franklin, San Diego State, 28.24
8. Allen Crabbe, California, 27.39
9. Ben McLemore, Kansas, 25.72
10. Victor Oladipo, Indiana, 24.77
11. Michael Snaer, Florida State, 24.61
12. Tim Hardaway Jr., Michigan, 24.17
13. Vander Blue, Marquette, 24.15
14. Archie Goodwin, Kentucky, 23.96
15. Carrick Felix, Arizona State, 21.67
No. 5 Point Guard: Ray McCallum, Detroit, 28.99
26 of 31No. 4 Point Guard: Isaiah Canaan, Murray State, 33.35
27 of 31No. 3 Point Guard: Pierre Jackson, Baylor, 34.75
28 of 31No. 2 Point Guard: Trey Burke, Michigan, 35.43
29 of 31No. 1 Point Guard: Nate Wolters, South Dakota State, 37.54
30 of 31Full Point Guard Rankings
31 of 311. Nate Wolters, South Dakota State, 37.54
2. Trey Burke, Michigan, 35.43
3. Pierre Jackson, Baylor, 34.75
4. Isaiah Canaan, Murray State, 33.35
5. Ray McCallum, Detroit, 28.99
6. Matthew Dellavedova, Saint Mary's, 28.78
7. Shane Larkin, Miami, 25.51
8. Lorenzo Brown, N.C. State, 25.34
9. Michael Carter-Williams, Syracuse, 25.10
10. Phil Pressey, Missouri, 24.74
11. Myck Kabongo, Texas, 24.51
12. Peyton Siva, Louisville, 22.30
13. Elijah Johnson, Kansas, 21.04
14. Anthony Marshall, UNLV, 20.42









