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DraftExpress released an article this week that elevated draft models based on algorithms to a higher status than they had previously enjoyed among many scouting communities. The article gave insight into the machinations of 5 different models, then looked at them in aggregate, by seeing how these models graded players on average.
These predictive models take a player's numbers from whichever league they are currently ply their trade in,and attempt to translate them to the NBA based on how previous numbers have or have not translated with players who have previously made leaps from those leagues.
The accuracy of any single model is certainly up for debate, but ignoring their conclusions seems like folly in the modern era of NBA analysis. As is the case with every new tool to help executives evaluate talent, these models are meant to be applied in addition to traditional scouting, not instead of it.
What we, as laymen, can perhaps glean from these models are the players who are being over- or underrated based on their physical tools. Players for whom there is a large disagreement between the model consensus and the scouting consensus are likely to be steals if taken where they are projected to be taken, or else they may be far overvalued given their traditional placement. This is one of the best parts of the DX article, as it actually shows a comparison of where players were placed by the predictive models' average and by DX's own ranking.
We can, in turn, take these numbers and try to determine which players might be worth targeting at specific ranges, especially in the second round, as Hinkie will have 5 selections there. Alternately, we can use these numbers to single out players who are on the fringe of the two rounds who might be worth consolidating assets to take a stab at. Sean O'Connor wrote about the possibility of taking a stab at these late first players, and pouncing while they're still available may be worth it. This can be a tool to help determine which players Sean's proposal could provide value for.
Here are the players that DX currently projects in the final third of the first round who may be undervalued:
Player |
DX Rank |
Model Rank |
Difference |
Kevon Looney |
17 |
5 |
+12 |
Delon Wright |
25 |
9 |
+16 |
Christian Wood |
22 |
11 |
+11 |
Chris McCullough |
27 |
18 |
+9 |
Conversely, these are the players that the models show to be overvalued by DX, and may not be worth their current placement on most big boards:
Player |
DX Rank |
Model Rank |
Difference |
Rondae Hollis-Jefferson |
10 |
17 |
-7 |
Sam Dekker |
13 |
21 |
-8 |
Trey Lyles |
16 |
24 |
-8 |
Devin Booker |
9 |
33 |
-24 |
As for second round steals, the biggest winners are Wesley Saunders and Seth Tuttle, who both jumped more than 40 spots in the aggregate model rankings.
Player |
DX Rank |
Model Rank |
Difference |
Richaun Holmes |
34 |
22 |
+12 |
Terry Rozier |
40 |
26 |
+14 |
Wesley Saunders |
72 |
28 |
+44 |
Vince Hunter |
48 |
30 |
+18 |
Seth Tuttle |
74 |
31 |
+43 |
Josh Richardson |
50 |
40 |
+10 |
TJ McConnell |
49 |
38 |
+11 |
Larry Nance |
54 |
41 |
+13 |
Branden Dawson |
61 |
42 |
+19 |
Pat Connaughton |
53 |
43 |
+10 |
Chasson Randle |
62 |
44 |
+18 |
Derrick Marks |
69 |
48 |
+21 |
Unsurprisingly the biggest losers are old seniors, who were unproductive early in their careers but began to dominate as their peers graduated. This includes Norman Powell, Rakeem Christmas, Anthony Brown, and Jonathan Holmes.
Player |
DX Rank |
Model Rank |
Difference |
Michael Frazier |
31 |
45 |
-14 |
Michael Qualls |
32 |
46 |
-14 |
Olivier Hanlan |
42 |
55 |
-13 |
Norman Powell |
35 |
57 |
-22 |
Rakeem Christmas |
29 |
60 |
-31 |
Anthony Brown |
33 |
59 |
-26 |
Joseph Young |
45 |
62 |
-17 |
Chris Walker |
43 |
66 |
-23 |
Jonathan Holmes |
21 |
71 |
-50 |
It's important to remember that these numbers might not necessarily be correct. But they are more tools to help inform decisions and roster choices, which is something we know Hinkie values highly. While he may put equal emphasis on qualitative and quantitative analysis, he will certainly be using this data and more analysis like it.
Perhaps he will find data that disagrees with the conclusions of these five modelers. At the very least, we can use what we know to help us better guess that players that Hinkie may target on draft night, and we can pretend to have been in on it all along.