Category Archives: NBA

Prospect Profile: De’Aaron Fox

Leading up to the 2017 NBA Draft, we will be diving into what our Draft Models tell us about this year’s top prospects. Our NBA Draft Models include the PNSP Model, NBA Role Probability Model, and Similarity Scores which each provide unique ways of evaluating college prospects. Our Prospect Profiles look at which stats positively/negatively affect NBA projections, unique data points from a player’s stats, and relevant comparisons to current NBA players. You can find links to all of our Prospect Profiles in the header menu above (NBA –> NBA Draft –> Prospect Profiles). In this article, we look at a prospect who propelled his draft stock in this year’s NCAA Tournament in De’Aaron Fox.

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Prospect Profile: Josh Jackson

Leading up to the 2017 NBA Draft, we will be diving into what our Draft Models tell us about this year’s top prospects. Our Draft Models include the PNSP Model, NBA Role Probability Model, and Similarity Scores which each provide unique ways of evaluating college prospects. Our Prospect Profiles will look at which stats positively/negatively affect NBA projections, unique data points from a player’s stats, and relevant comparisons to current NBA players. You can find links to all of our Prospect Profiles in the header menu above (NBA –> NBA Draft –> Prospect Profiles). In this article, we take a look at KU Freshman Josh Jackson.

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Prospect Profile: Lonzo Ball

Leading up to the 2017 NBA Draft, we will be diving into what our Draft Models tell us about this year’s top prospects. Our NBA Draft Models include our PNSP Model, NBA Role Probability Model, and Similarity Scores which each provide unique ways of evaluating college prospects. Our Prospect Profiles look at which stats positively/negatively affect NBA projections, unique data points from a player’s stats, and relevant comparisons to current NBA players. You can find links to all of our Prospect Profiles in the header menu above (NBA –> NBA Draft –> Prospect Profiles). In this article, we explore one of the more highly debated draft prospects, Lonzo Ball.

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Prospect Profile: Markelle Fultz

Leading up to the 2017 NBA Draft, we will be diving into what our models tell us about this year’s top prospects. These Prospect Profiles will look at which stats positively/negatively affect NBA projections, unique data points from a player’s stats, and relevant comparisons to current NBA players. You can find links to all of our Prospect Profiles in the header menu above (NBA –> NBA Draft –> Prospect Profiles).

In this article we dive into the consensus top ranked prospect Markelle Fultz from the perspective of our Draft Models. Our Draft Models include our PNSP Model, NBA Role Probability Model, and Similarity Scores which each provide unique ways of evaluating college prospects.

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NBA Finals Preview: The Trilogy

After three brutal rounds of intramural B-league competition, the series we have all been waiting for is finally here. For the first time in NBA history, the same teams will meet in the NBA Finals for the third consecutive year. Last year’s installment was incredible, and in my humble opinion this year’s edition will pack more talent onto the floor than any series in the history of the NBA Playoffs, with a combined 45 All-Star game appearances and 7 MVP awards across the competing rosters. Although the Cavs are the defending champs, and the Model suggests betting the house on the Warriors.
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Similarity Score Tool 2017

Select any 2017 drafted NBA player from the dropdown menu to view their top 10 most similar college basketball players historically. Similarity Scores provide insight into how a player will translate to the NBA based on how similar college basketball players in production, physical measurements and experience have performed in the NBA. For a background on the calculation of the similarity scores, see here. This model is one of three pieces that we use to evaluate the NBA potential of college players, with the other two being PNSP and NBA Role Probability Model.

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NBA Role Probability Model 2017

The NBA Role Probability Model predicts the likelihood that a given college basketball player becomes an NBA All-Star, starter, bench player, or does not make the NBA. The model uses individual college basketball season-long box score statistics, team-level statistics (e.g. strength of schedule), physical measurements, high school scouting ranking, position, and age/experience to predict the probability of each NBA role. For more detail on this model, see here. This model is one of three pieces that we use to evaluate the NBA potential of college players, with the other two being PNSP and Similarity Scores. In the table outlined below, you can find our predicted probabilities of the 2017 NBA Draft prospects landing in each category.

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