2019 NBA Role Probability Model

The NBA Role Probability Model predicts the likelihood that a given college basketball player becomes an All-Star, starter, bench player, or does not make it in the NBA. The model considers individual box score statistics, team-level statistics (e.g. strength of schedule), physical measurements, high school scouting rank, position, and age/experience to predict the probability of a player landing each NBA role. For more detail on how this model is formulated, see this article. The Role Probability model is one of three pieces that we use to evaluate the NBA potential of college and international players, with the other two being PNSP and Similarity Scores. In the table below, you can find the model’s predicted probabilities for each 2019 prospect landing in a given role in the NBA.


Just as he did with PNSP, Zion Williamson ranks number one in All-Star Probability at 75%. It probably does not take an analytical model to tell you that Zion should be the number one pick (barring any unforeseen circumstances), but I suppose that’s what we are doing here. Recent players with modeled All-Star probabilities above 70% include Luka Doncic, Kevin Durant, Michael Beasley, Lonzo Ball, Ben Simmons, Joel Embiid, and DeMarcus Cousins. I think it’s safe to say that scouts and analytics agree here.

Next, Ja Morant‘s shows up in the model as a high risk, high reward player with a 50/50 chance of becoming an All-Star and nearly 20% chance of not making the NBA. The high “bust-ability” is driven by playing for a mid-major program at Murray State and not being heavily recruited out of high school. Even given this decent likelihood of not becoming an NBA player, our Role Probability Model agrees with PNSP that Ja Morant is the clear cut #2 prospect in this year’s draft.

PNSP’s number 3 ranked prospect Brandon Clarke doesn’t appear as appetizing at first glance, with only a 6% All-Star Probability. However, he ranks number 1 in starter probability at 60% and top 10 in making the NBA (1 – non-NBA probability). This suggests that Brandon Clarke should be a productive NBA player but likely won’t be a franchise-altering one. In a similar vein, Auburn’s versatile forward Chuma Okeke shows up strongly again with a high probability of making the NBA (87%). Okeke shot roughly 40% from 3, with STL% and BLK% of 3.6% and 5.5%, respectively, while contributing on the boards.

On the flip side, the behemoth Tacko Fall lands the highest bust-ability at 65%. Given Tacko’s freakish length and 35% Free Throw shooting, it shouldn’t come as a surprise that he has a decent chance of never making any noise in the NBA. Iowa Big man Tyler Cook also shows up with > 50% bust-ability.

Stay tuned for the release of our 2019 Similarity Scores and other draft coverage leading up to June’s NBA Draft. And as always #TrustTheModel

Zion WilliamsonPF74%22%3%1%
Ja MorantPG52%14%17%17%
Bol BolC31%43%17%9%
RJ BarrettSG/SF30%43%19%8%
Jontay PorterC22%40%27%10%
Nassir LittleSF/PF20%38%22%20%
Nickeil Alexander-WalkerSG19%29%31%22%
Jarrett CulverSG/SF18%41%28%13%
Talen Horton-TuckerPG/SG17%18%14%51%
P.J. WashingtonPF/C15%36%43%7%
Luguentz DortPG/SG14%16%28%42%
Chuma OkekePF12%43%33%13%
Goga BitadzeC11%25%52%12%
Romeo LangfordSG/SF11%45%29%15%
Daniel GaffordPF/C11%34%31%25%
Nicolas ClaxtonPF/C10%21%45%24%
Rui HachimuraPF/C10%45%24%21%
Coby WhitePG/SG10%32%32%27%
Dylan WindlerSF/PF10%49%24%18%
Carsen EdwardsPG10%26%44%21%
De'Andre HunterSF/PF10%15%54%22%
Grant WilliamsPF9%41%33%18%
KZ OkpalaSF9%11%41%40%
Cameron ReddishSF/PF8%41%38%13%
Mfiondu KabengelePF/C8%15%54%23%
Naz ReidPF/C8%25%37%30%
Simisola ShittuPF/C8%37%37%18%
Reggie PerrySF/PF7%25%24%44%
Bruno FernandoC7%39%30%24%
Jalen McDanielsSF/PF7%32%23%38%
Miye OniSG/SF7%18%32%44%
Moses BrownC6%32%16%45%
Zach Norvell Jr.SG6%38%34%23%
Tremont WatersPG6%44%27%23%
Brandon ClarkePF6%60%22%13%
Kevin Porter Jr.SG/SF6%20%32%42%
Jaxson HayesC5%52%27%16%
Matisse ThybullePG/SG5%42%33%19%
Keldon JohnsonSG/SF5%21%36%38%
Darius GarlandPG/SG5%40%34%21%
Shamorie PondsPG/SG5%46%27%23%
Sekou DoumbouyaSF/PF5%41%33%21%
Cody MartinPG/SG5%41%22%33%
Tacko FallC5%10%19%65%
Ky BowmanPG5%18%21%56%
Dedric LawsonPF/C5%33%27%35%
Quinndary WeatherspoonSG/SF5%30%41%24%
Devon DotsonPG5%35%33%29%
Terence DavisSG5%24%24%48%
Ignas BrazdeikisSF4%20%45%30%
DaQuan JefferiesSF/PF4%29%38%30%
Tyler HerroPG/SG4%35%28%33%
Jaylen HandsPG4%25%30%41%
Jordan NworaPF4%24%45%27%
Jaylen NowellSG3%31%43%23%
Jalen HoardPF/C3%23%37%37%
Oshea BrissettSF/PF3%11%29%57%
Killian TilliePF/C3%39%38%21%
Jared HarperPG3%18%46%33%
Louis KingSF/PF3%24%32%41%
Amir CoffeySG/SF2%21%46%31%
Quentin GrimesSG2%15%51%32%
Isaiah RobyPF/C2%18%44%37%
Dewan HernandezC2%16%43%39%
Tyler CookPF/C2%12%30%56%
Ty JeromePG/SG2%16%32%51%
Eric PaschallSF/PF2%6%41%51%
Luka SamanicSF/PF2%19%42%38%
Admiral SchofieldSG/SF2%6%32%61%
Yovel ZoosmanSF2%14%50%35%
Marial ShayokSF/PF2%16%44%38%
Kris WilkesSF/PF2%12%47%40%
Jordan BonePG/SG2%17%44%38%
Kyle GuyPG/SG2%14%39%45%
Terance MannSG/SF2%11%38%50%
Didi Louzada SilvaSG1%6%45%48%
Jordan PooleSG/SF1%16%52%31%
Deividas SirvydasSF/PF1%12%50%37%
Cameron JohnsonSG/SF0%32%49%19%

*Data retrieved from Basketball ReferenceSports Reference, and DraftExpress.

Written by  Marc Richards and Jack Werner.

49 thoughts on “2019 NBA Role Probability Model

  1. Pingback: stromectol 3mg
  2. Pingback: ivermectin lotion
  3. Pingback: stromectol tablets
  4. Pingback: cialis 20mg online
  5. Pingback: ivermectin powder
  6. Pingback: tadalafil cialis
  7. Pingback: cialis dosis
  8. Pingback: cialis wirkung
  9. Pingback: prednisone online
  10. Pingback: tadalafil pills
  11. Pingback: cialis tadalafil
  12. Pingback: cialis canada
  13. Pingback: ivermectin 15 mg
  14. Pingback: sildenafil otc uk
  15. Pingback: ivermectin 875
  16. Pingback: priligy alcohol

Comments are closed.