What follows is a guest post from Professor David Berri. You might remember him as the creator of the Wins Produced metric, author of "Wages of Wins" and "Stumbling on Wins," and tenured professor of economics at Southern Utah University. Dave has done extensive work in studying the NBA draft and brings us his overview of this year's draft class.
Update: Below Dr. Berri provided a grade based on the performance we saw. Others try and predict future performance. As Dave notes, this is harder, and even those that do it agree. Regardless, for those looking for a "draft board" Arturo Galletti has put up such a model on his site.
At the end of every semester in each of my classes, I assign grades. The choices are A, B, C, D, and F. Although most of my students pass, a few don't do well and fail (very few!). Regardless of where the students end up, it is important -- as I often tell students -- to keep grades in perspective. Yes, there is a tendency for people who do well in school to do well. But grades are most definitely not destiny. Many "A" students do not end up being particularly successful in life. And there are many students who do relatively poorly in school that have amazing lives.
The same basic approach should be taken to evaluating how well NBA draft prospects in 2019 performed in college this past year. These players took a college class this past season. In this class, these players were evaluated in terms of shooting efficiency, rebounds, turnovers, steals, etc... (i.e., the factors that primarily create wins in basketball). With data in hand, the number of wins each player produced per 40 minutes played (Wins Produced per 40 minutes or WP40) was calculated. And this stat was then used to assign each player a grade in their respective college class.
Again, it is essential to remember that just like a college class, grades do not predict the future perfectly. Yes, there is a statistical correlation between college performance and NBA performance (i.e., if you play poorly in college, you tend not to be a great NBA player). But college performance is not a crystal ball. A bad grade could mean a player isn't particularly good. But it could also mean the player wasn't healthy enough to perform well in class. Or it could mean the teacher (i.e., the coach) wasn't very good. Or maybe the player didn't try as hard as they could and with a bit more motivation performance could be much better.
The same story can be told about players who get a good grade. Yes, maybe this means the player is great. But it might mean the class they took wasn't particularly hard. For example, maybe the competition the player faced wasn't very good. Or maybe physically this player was able to over-power their opponents (something that won't happen in the NBA).
In sum, if your favorite teams drafts a player with a "bad" grade, that doesn't mean your team drafted a "bad" player. It probably means there are some issue to address. But it doesn't mean there is no hope.
Likewise, we shouldn't put the "A" players in the Hall-0f-Fame just yet. Most of these players are not going to be All-Stars. Most NBA players are not "great," and therefore, most players who are drafted won't be "great" either. So, if you are comparing the players drafted on Thursday night to NBA All-Stars you should expect some people to make fun of you. At least you shouldn't be surprised when this happens.
Okay, with all that being said, let's get to the grades. The scale for the grades was determined by looking at how the players who were drafted out of college from 2009 to 2018 performed their last year in college. Across this sample of 470 players, the average WP40 was 0.188. An average player in college will produce 0.100 wins per 40 minutes. So, an average player drafted out of college was quite a bit better than an average college player.
Of course, relative to the average player drafted out of college, a player with a 0.188 WP40 was.... well, average. And if we follow a typical grading scale, an average student is a "C" student.
We can also use the data from 2009 to 2018 to determine the WP40 necessary to achieve each letter grade. These ranges (and this is not how I grade in class!) were determined by simply breaking this sample into quintiles. So the letter "A" goes to players in the top 20%, letter "B" to the next 20%, etc...
- Range for "A" player (top 20% of players): WP40 above 0.245
- Range for "B" player: 0.206 WP40 to 0.244 WP40
- Range for "C" player: 0.169 WP40 to 0.205 WP40
- Range for "D" player: 0.126 WP40 to 0.168 WP40
- Range for "F" player (bottom 20% of players): WP40 below 0.126
Given these ranges, here are the grades each prospect for the 2019 draft received.
The "A" Players | College | Year | Conference | Minutes | Wins Produced | WP40 |
---|---|---|---|---|---|---|
Zion Williamson | Duke | Fr | ACC | 988 | 10.6 | 0.431 |
Brandon Clarke | Gonzaga | Jr | WCC | 1039 | 10.1 | 0.391 |
Ja Morant | Murray St. | So | OVC | 1205 | 10.7 | 0.356 |
John Konchar | Purdue Fort Wayne | Sr | Summit League | 1131 | 9.9 | 0.349 |
Bruno Fernando | Maryland | So | Big Ten | 1019 | 7.2 | 0.284 |
Dylan Windler | Belmont | Sr | OVC | 1094 | 7.7 | 0.281 |
Bol Bol | Oregon | Fr | Pac-12 | 267 | 1.9 | 0.281 |
Cody Martin | Nevada | Sr | MWC | 1170 | 7.6 | 0.260 |
Grant Williams | Tennessee | Jr | SEC | 1181 | 7.6 | 0.257 |
Justin Robinson | Virginia Tech | Sr | ACC | 712 | 4.6 | 0.257 |
Shamorie Ponds | St. John's | Jr | Big East | 1158 | 7.4 | 0.256 |
Jaxson Hayes | Texas | Fr | Big 12 | 747 | 4.7 | 0.251 |
Juwan Morgan | Indiana | Sr | Big Ten | 1043 | 6.4 | 0.246 |
Zion Williamson was the top player -- per 40 minutes -- in college basketball this past year. In fact, he is one of the most productive college players this century. But we must remember that being the best student in class doesn't guarantee that you will be the most successful person in life. College basketball is not the same as the NBA. So, it is possible Zion Williamson will not become a Hall-of-Fame player for the New Orleans Pelicans.
A similar story can be told about Ja Morant. He actually produced more wins than Williamson. But that does not guarantee Morant will be an NBA All-Star.
The "B" Players | College | Year | Conference | Minutes | Wins Produced | WP40 |
---|---|---|---|---|---|---|
Cameron Johnson | North Carolina | Sr | ACC | 1078 | 6.6 | 0.244 |
Ty Jerome | Virginia | Jr | ACC | 1257 | 7.6 | 0.242 |
Tacko Fall | UCF | Sr | AAC | 818 | 4.9 | 0.242 |
Chuma Okeke | Auburn | So | SEC | 1105 | 6.6 | 0.241 |
Matisse Thybulle | Washington | Sr | Pac-12 | 1121 | 6.5 | 0.232 |
Charles Bassey | Western Ky. | Fr | C-USA | 1068 | 6.1 | 0.229 |
Zylan Cheatham | Arizona St. | Jr | Pac-12 | 1100 | 6.3 | 0.229 |
Ethan Happ | Wisconsin | Sr | Big Ten | 1087 | 6.2 | 0.229 |
Paul Reed | DePaul | So | Big East | 966 | 5.4 | 0.225 |
Daniel Gafford | Arkansas | So | SEC | 919 | 5.1 | 0.221 |
As I tell students, "B" means "good." So, there is nothing wrong with being a "B" player (or a "B" student).
Tacko Fall is an interesting "B" player. Right now he isn't projected by ESPN to be drafted. But he did produce in college, and he is 7-6. It will be interesting if any team takes a chance on him. There is some evidence that being tall in basketball helps.
Okay, enough of the "good" and "great" player in the class. Here are all the students who didn't do so well.
The "C" Players | College | Year | Conference | Minutes | Wins Produced | WP40 |
---|---|---|---|---|---|---|
Jarrett Culver | Texas Tech | So | Big 12 | 1238 | 6.3 | 0.205 |
PJ Washington | Kentucky | So | SEC | 1024 | 5.2 | 0.203 |
Tremont Waters | LSU | So | SEC | 1071 | 5.4 | 0.201 |
Aric Holman | Mississippi St. | Sr | SEC | 830 | 4.1 | 0.197 |
Dean Wade | Kansas St. | Sr | Big 12 | 760 | 3.7 | 0.194 |
Dedric Lawson | Kansas | Jr | Big 12 | 1177 | 5.7 | 0.193 |
Jared Harper | Auburn | Jr | SEC | 1315 | 6.3 | 0.192 |
De'Andre Hunter | Virginia | So | ACC | 1235 | 5.8 | 0.187 |
Killian Tillie | Gonzaga | Jr | WCC | 249 | 1.1 | 0.183 |
Mfiondu Kabengele | Florida St. | So | ACC | 799 | 3.6 | 0.181 |
Darius Garland | Vanderbilt | Fr | SEC | 139 | 0.6 | 0.179 |
Jaylen Hands | UCLA | So | Pac-12 | 1029 | 4.4 | 0.173 |
Devon Dotson | Kansas | Fr | Big 12 | 1167 | 5.0 | 0.171 |
Quinndary Weatherspoon | Mississippi St. | Sr | SEC | 1158 | 4.9 | 0.171 |
Nickeil Alexander-Walker | Virginia Tech | So | ACC | 1165 | 5.0 | 0.170 |
Rui Hachimura | Gonzaga | Jr | WCC | 1115 | 4.7 | 0.169 |
The "D" Players | College | Year | Conference | Minutes | Wins Produced | WP40 |
---|---|---|---|---|---|---|
Sagaba Konate | West Virginia | Jr | Big 12 | 192 | 0.8 | 0.168 |
Jaylen Nowell | Washington | So | Pac-12 | 1243 | 5.2 | 0.166 |
Tyler Herro | Kentucky | Fr | SEC | 1207 | 4.9 | 0.162 |
Terence Davis | Ole Miss | Sr | SEC | 1023 | 4.1 | 0.161 |
Nicolas Claxton | Georgia | So | SEC | 1011 | 3.8 | 0.150 |
Miye Oni | Yale | Jr | Ivy League | 900 | 3.4 | 0.150 |
Isaiah Roby | Nebraska | Jr | Big Ten | 1095 | 4.0 | 0.146 |
Kerwin Roach II | Texas | Sr | Big 12 | 904 | 3.3 | 0.145 |
Justin Wright-Foreman | Hofstra | Sr | CAA | 1321 | 4.7 | 0.142 |
Keldon Johnson | Kentucky | Fr | SEC | 1137 | 3.9 | 0.138 |
Ky Bowman | Boston College | Jr | ACC | 1219 | 4.1 | 0.136 |
Jarron Cumberland | Cincinnati | Jr | AAC | 1136 | 3.8 | 0.133 |
Jordan Poole | Michigan | So | Big Ten | 1220 | 4.0 | 0.132 |
Coby White | North Carolina | Fr | ACC | 997 | 3.3 | 0.131 |
RJ Barrett | Duke | Fr | ACC | 1342 | 4.3 | 0.128 |
The "F" Players | College | Year | Conference | Minutes | Wins Produced | WP40 |
---|---|---|---|---|---|---|
Romeo Langford | Indiana | Fr | Big Ten | 1094 | 3.4 | 0.125 |
Ayo Dosunmu | Illinois | Fr | Big Ten | 994 | 2.8 | 0.114 |
Ignas Brazdeikis | Michigan | Fr | Big Ten | 1099 | 3.1 | 0.113 |
Nick Ward | Michigan St. | Jr | Big Ten | 708 | 2.0 | 0.111 |
Kevin Porter Jr. | Southern California | Fr | Pac-12 | 463 | 1.3 | 0.110 |
Lindell Wigginton | Iowa St. | So | Big 12 | 649 | 1.7 | 0.104 |
Charles Matthews | Michigan | Sr | Big Ten | 1069 | 2.8 | 0.104 |
Jordan Nwora | Louisville | So | ACC | 1086 | 2.8 | 0.103 |
Jalen McDaniels | San Diego St. | So | MWC | 1057 | 2.6 | 0.099 |
Max Strus | DePaul | Sr | Big East | 1310 | 3.2 | 0.098 |
Eric Paschall | Villanova | Sr | Big East | 1300 | 3.1 | 0.096 |
Charlie Brown | Saint Joseph's | So | Atlantic 10 | 1139 | 2.7 | 0.095 |
Jaylen Hoard | Wake Forest | Fr | ACC | 934 | 2.2 | 0.094 |
Admiral Schofield | Tennessee | Sr | SEC | 1176 | 2.7 | 0.091 |
Tyus Battle | Syracuse | Jr | ACC | 1163 | 2.5 | 0.085 |
Tyler Cook | Iowa | Jr | Big Ten | 1019 | 2.1 | 0.084 |
KZ Okpala | Stanford | So | Pac-12 | 950 | 1.9 | 0.082 |
Talen Horton-Tucker | Iowa St. | Fr | Big 12 | 950 | 1.9 | 0.079 |
Louis King | Oregon | Fr | Pac-12 | 941 | 1.5 | 0.063 |
Nassir Little | North Carolina | Fr | ACC | 652 | 1.0 | 0.063 |
Milik Yarbrough | Illinois St. | Sr | MVC | 967 | 1.5 | 0.061 |
Luguentz Dort | Arizona St. | Fr | Pac-12 | 1074 | 1.6 | 0.060 |
James Palmer | Nebraska | Sr | Big Ten | 1266 | 1.8 | 0.058 |
Markis McDuffie | Wichita St. | Sr | AAC | 1236 | 1.7 | 0.056 |
Naz Reid | LSU | Fr | SEC | 925 | 1.1 | 0.048 |
Jarrey Foster | SMU | Sr | AAC | 370 | 0.3 | 0.037 |
Simisola Shittu | Vanderbilt | Fr | SEC | 854 | 0.8 | 0.037 |
Quentin Grimes | Kansas | Fr | Big 12 | 989 | 0.9 | 0.035 |
Carsen Edwards | Purdue | Jr | Big Ten | 1277 | 0.8 | 0.025 |
Kris Wilkes | UCLA | So | Pac-12 | 1047 | 0.6 | 0.022 |
Cam Reddish | Duke | Fr | ACC | 1070 | -0.8 | -0.031 |
The "C", "D" and "F" player were not "great" in college. They took the class. But relative to other players selected in the NBA draft in the past ten years, these players did not do "great' this past season. Again, this doesn't mean they won't be great NBA players.
Interestingly, Duke had the very best player in the class (Zion Williamson) and then two players who didn't do so well. R.J. Barrett was the worst of the "D" students. In other words, he barely passed. And Cam Reddish... well, no one drafted in the past ten years played as badly as Cam Reddish this past season. So, at this point, we know Barrett and Reddish were not great college players. But again, there are many reasons a student doesn't do well in a class. So, maybe both of these players can become great NBA players (of course, then again, maybe they won't).
In the end -- as I said earlier -- there is just a correlation between college performance and NBA performance. It is not a perfect crystal ball. It probably would help to look at more than just performance in class and think about how a player's game would translate to the NBA. Of course, when you do this, you should ask: "Are the factors you are looking at beyond college performance correlated with NBA performance? And how do you know this?"
Perhaps these non-performance factors you are looking at are important. However, if they are telling you that the player you are looking at is definitely a future Hall-of-Fame player... you probably should try looking a little harder.
Reminder, in case you read the whole article but skimmed the intro, this was produced by Dr. David Berri. Please send any praise his way either in the comments or on Twitter @wagesofwins! Also, follow @AmericanNumbers on Twitter will be providing great draft analysis I'm sure.