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Just messing around, getting triple doubles
Tag Archives: mo bamba
May 14, 2018Posted by on
236 basketball players are testing the NBA waters this spring. This doesn’t include seniors like Keita Bates-Diop, Grayson Allen, Jevon Carter, Devonte Graham, Kenrich Williams, or Kevin Hervey. There are just 60 picks in the draft, but during the 2016-17 season, 88 players made rookie appearances. In 2017-18, that number jumped up to 120, thanks, in part, to two-way contracts between the G-League and NBA. Through the G-League and global scouting, the league has created a talent pool that is deeper and wider than ever. As more players present themselves as NBA-caliber, the basketball world gets both bigger and smaller. Bigger in the sense that not being drafted is no longer a death knell to a player’s NBA aspirations. Smaller in the sense that the league continues to evolve in how it keeps tabs on players – from teenagers entering the USA Basketball system to a G-League that’s on its way to every NBA team having its own minor league affiliate. There are very few Neon Boudeaux’s these days.
Despite this growing population of NBA newcomers, the most impactful players are still being found in the draft. Of those 120 rookies that appeared in NBA games this season, just 26 of them appeared in at least 1,000 minutes. Of those, just three (12%) players were second-round picks (Sindarius Thornwell, Semi Ojeleye, and Wesley Iwundu), and three (12%) were undrafted (Max Kleber, Royce O’Neal, and Milos Teodosic). Among starters of the four conference finalists, three (15%) were second-round picks (Draymond Green, Trevor Ariza, and PJ Tucker) while one part-time starter wasn’t drafted (Aron Baynes).
Of course, 1,000 minutes and starters on conference finalists are completely arbitrary in terms of their selection and statistical significance, but directionally they help to remind us that the top 80-some-odd-percent of the league’s primary contributors still come from the first round.* I expect that this percentage gets smaller over time, but at present, Draymond Green (35th overall, not big enough), Isaiah Thomas (60th overall, too small), Paul Millsap (47th overall, small school, too small), Manu Ginobili (57th overall, too European/Argentine), Kyle Korver (51st overall, can he get his shot at this level?) are still outliers, players who serve as reminders to guard against physical, racial, or geographic bias or conventional stubbornness. *(This was sticking in my craw or something so I looked at the total minutes played by drafted players beginning with the 2003 draft and ending with the 2017 draft. Among all drafted players in that sample, lottery picks make up 44.8% of total minutes (2,270,126 out of 5,069,530), rest of first round makes up 32.7%, and second rounders make up 22.6%. First rounders (lottery included) make up 77.4% of total minutes. This doesn’t include any undrafted players.)
It is under this guise of an ever-expanding universe of potential draftees that my friends joined me to pull together a 55-player big board for the 2018 draft cycle. I’ll caveat and hopefully not lose you by admitting we haven’t seen or scouted all 236 of the players who put their name in the draft. Most concerning for me is probably Elie Okobo; a favorite among some draftniks whose perspectives I respect. I didn’t see Tyus Battle either, but that’s maybe because I have a semi-conscious bias towards Syracuse. It’s hard to say. I would’ve liked to see and understand Jarred Vanderbilt better, but sometimes the universe, injuries, and the loss of Draft Express’s Youtube clips conspires against us.
Leading up to the draft, we’ll post deeper scouting profiles and projections on the top 30 players appearing on our big board. And if time and inspiration allow for it, we may go deeper on guys who felt outside of the top-30, but who one of us may be high on.
In the big board below, you’ll see a few basic values such as the rankings from me and my Dancing with Noah (DWN) friends and colleagues: Bug, Hamilton, and Maahs. You’ll see our DWN average ranking and the DWN standard deviation. The standard deviation is maybe more intriguing to me than the rankings on their own as the greater the deviation, the greater the difference in what our eyes see. There’s the Season-long aggregate rank (YR AVG) which includes big boards from Draft Express, NBADraft.net, Sports Illustrated, The Ringer, and The Stepien which offer up a longer, consensus view. And finally, there’s a comparison of the DWN average versus the consensus (DIFF). Again, I’m a lot less interested in players like Luka Doncic or DeAndre Ayton who have a difference in aggregate of less than one. The differences are where learning lies.
The other piece of context that’s worth including is that, between me and the other guys ranking players, we haven’t discussed our criteria for ranking. There isn’t any component of the following posts that has to do with mock drafting, but that doesn’t discount the role of team and scheme in how we discuss these players, scout them, or how I’ve ranked them. I encountered a bit of the Allen Iverson conundrum while ranking some of these players in that I believe Collin Sexton and Michael Porter to be players with higher ceilings than Mikal Bridges, but consider Bridges to be a more adaptable player who may offer a greater contribution to winning. But none of these concepts (ceiling, adaptability, or winning contribution) are absolutes. It’s not that Bridges has reached his ceiling or that Sexton or Porter must be lead dogs in order produce. If we dealt in these absolutes, then perhaps player rankings would be easier. We don’t deal in absolutes though and perhaps, in the right role, with the right coaching, Sexton could become a perfect fourth man on a contending team. Another example is the role evolution of Andre Iguodala who’s found his greatest success as a role player. With a highly adaptable game and the mindset of accepting a diminished role, Iguodala has achieved wild success, but few will suggest he was better than Iverson who required massive usage to achieve optimal effectiveness and who struggled in less usage-heavy roles. Did my colleagues think about this the same way? I doubt it, but do all 30 teams use the same criteria when ranking their players? I have my doubts. (Looking at you David Kahn.)