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Improving the aggregation and evaluation of NBA mock drafts

  • Jared D. Fisher ORCID logo EMAIL logo and Colin Montague
Published/Copyright: August 22, 2024
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Abstract

If professional teams can accurately predict the order of their league’s draft, they would have a competitive advantage when using or trading their draft picks. Many experts and enthusiasts publish forecasts of the order players are drafted into professional sports leagues, known as mock drafts. Using a novel dataset of mock drafts for the National Basketball Association (NBA), we explore mock drafts’ ability to forecast the actual draft. We analyze authors’ mock draft accuracy over time and ask how we can reasonably aggregate information from multiple authors. For both tasks, mock drafts are usually analyzed as ranked lists, and in this paper, we propose ways to improve on these methods. We propose that rank-biased distance is the appropriate error metric for measuring accuracy of mock drafts as ranked lists. To best combine information from multiple mock drafts into a single consensus mock draft, we also propose a combination method based on the ideas of ranked-choice voting. We show that this method provides improved forecasts over the standard Borda count combination method used for most similar analyses in sports, and that either combination method provides a more accurate forecast across seasons than any single author.


Corresponding author: Jared D. Fisher, Department of Statistics, Brigham Young University, Provo, UT, USA, E-mail: 

Award Identifier / Grant number: 1745640

Acknowledgments

The authors thank Richard Yu for his work on the early phases of this project. They also thank Nathan Sandholtz, David Grimsman, Chris Archibald, and Nate Hawkins for providing feedback on early versions of this manuscript.

  1. Research ethics: Not applicable.

  2. Author contributions: The views expressed in this manuscript are those of the authors and do not necessarily reflect the views of their employers. The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: This work was partially supported by the U.S. National Science Foundation DMS RTG Grant #1745640.

  5. Data availability: The full dataset is proprietary, but individual mock drafts can be found widely on the internet.

Appendix A: Detailed RCA demonstration

To demonstrate how ranked-choice aggregation works, we now show how to aggregate the GOAT mock drafts of Table 1 using Algorithm 1. The first set of ballots are simply the top ranked players from each of the mocks (we can just read across row 1), such that there are four votes for Michael Jordan and one vote for Robert Horry, so that Jordan is clearly the first pick of the aggregate mock and is removed from the list of available players. We can then visualize the rankings as

Order Mock A Mock B Mock C Mock D Mock E
1 L. James L. James L. James L. James R. Horry
2 K. Abdul-Jabbar K. Abdul-Jabbar B. Russell B. Russell K. Abdul-Jabbar
3 B. Russell B. Russell K. Abdul-Jabbar K. Bryant S. Pippen
4 K. Bryant E. Johnson E. Johnson K. Abdul-Jabbar K. Bryant

and the ballots for the second pick are counted with four votes for LeBron James and one vote for Robert Horry. Thus, LeBron James is clearly the second pick of the aggregate mock and is removed for the list of available players:

Order Mock A Mock B Mock C Mock D Mock E
1 K. Abdul-Jabbar K. Abdul-Jabbar B. Russell B. Russell R. Horry
2 B. Russell B. Russell K. Abdul-Jabbar K. Bryant K. Abdul-Jabbar
3 K. Bryant E. Johnson E. Johnson K. Abdul-Jabbar S. Pippen
4 K. Bryant

For the third aggregate RCA pick, the ballots yield two votes for Kareem Abdul-Jabbar, two votes for Bill Russell, and one vote for Robert Horry. As no player has a majority, we drop the player with the fewest positive number of votes from the list of eligible players, which here is Robert Horry.

Order Mock A Mock B Mock C Mock D Mock E
1 K. Abdul-Jabbar K. Abdul-Jabbar B. Russell B. Russell R. Horry
2 B. Russell B. Russell K. Abdul-Jabbar K. Bryant K. Abdul-Jabbar
3 K. Bryant E. Johnson E. Johnson K. Abdul-Jabbar S. Pippen
4 K. Bryant

Now recounting the ballots (i.e. each author’s top eligible player), we have three votes for Kareem Abdul Jabbar, which is a majority, making him the RCA aggregate mock’s third pick and removing him from the available list. This leads to the ballots for the fourth pick

Order Mock A Mock B Mock C Mock D Mock E
1 B. Russell B. Russell B. Russell B. Russell R. Horry
2 K. Bryant E. Johnson E. Johnson K. Bryant S. Pippen
3 K. Bryant
which is clearly won by Bill Russell. Now the ballots read as
Order Mock A Mock B Mock C Mock D Mock E
1 K. Bryant E. Johnson E. Johnson K. Bryant R. Horry
2 S. Pippen
3 K. Bryant
and we see that, for the fifth pick, there is not an immediate majority, with Kobe Bryant and Magic Johnson each receiving two votes and Robert Horry receiving one. We deem Robert Horry ineligible for this pick as he has the fewest picks and recount the ballots.
Order Mock A Mock B Mock C Mock D Mock E
1 K. Bryant E. Johnson E. Johnson K. Bryant R. Horry
2 S. Pippen
3 K. Bryant

There is still not an immediate majority, with Kobe Bryant and Magic Johnson each receiving two votes and Scottie Pippen receiving one. Now Scottie Pippen is dropped from the eligible list

Order Mock A Mock B Mock C Mock D Mock E
1 K. Bryant E. Johnson E. Johnson K. Bryant R. Horry
2 S. Pippen
3 K. Bryant

and we see that Kobe has three votes and Magic has two, earning Kobe the nod for the fifth pick of our aggregate mock draft. At this point, two of the mocks have used all of their listed picks, such that the next round of voting sees Magic Johnson with two votes and Robert Horry with one, giving Magic the sixth pick. That leaves one mock remaining, such that we simply follow its order. Hence, our RCA aggregate mock is as follows.

  1. Michael Jordan

  2. LeBron James

  3. Kareem Abdul-Jabbar

  4. Bill Russell

  5. Kobe Bryant

  6. Earvin “Magic” Johnson

  7. Robert Horry

  8. Scottie Pippen

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Received: 2023-11-02
Accepted: 2024-07-06
Published Online: 2024-08-22

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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