English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Many enthusiasts and experts publish forecasts of the order players aredrafted into professional sports leagues, known as mock drafts. Using a noveldataset of mock drafts for the National Basketball Association (NBA), weanalyze authors' mock draft accuracy over time and ask how we can reasonablyuse information from multiple authors. To measure how accurate mock drafts are,we assume that both mock drafts and the actual draft are ranked lists, and wepropose that rank-biased distance (RBD) of Webber et al. (2010) is theappropriate error metric for mock draft accuracy. This is because RBD allowsmock drafts to have a different length than the actual draft, accounts forplayers not appearing in both lists, and weights errors early in the draft morethan errors later on. We validate that mock drafts, as expected, improve inaccuracy over the course of a season, and that accuracy of the mock draftsproduced right before their drafts is fairly stable across seasons. To be ableto combine information from multiple mock drafts into a single consensus mockdraft, we also propose a ranked-list combination method based on the ideas ofranked-choice voting. We show that our method provides improved forecasts overthe standard Borda count combination method used for most similar analyses insports, and that either combination method provides a more accurate forecastover time than any single author.

Improving the Aggregation and Evaluation of NBA Mock Drafts