Improving Prediction of Pass Receivable Players in Basketball-Reference-Cited by-同舟云学术

Improving Prediction of Pass Receivable Players in Basketball

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Tenth International Symposium on Information and Communication Technology - SoICT 2019
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Author:

Sano Yusuke¹,Nakada Yohei¹

Affiliation:

1. Graduate School of Advanced Mathematical Science, Meiji University, Tokyo Japan

Publisher

ACM Press

Reference26 articles.

1. Stats LLC., STATS SportVU® Basketball Player Tracking, https://www.stats.com/sportvu-basketball/

2. National Basketball Association, Advanced Stats, https://stats.nba.com/

3. Image and Signal Processing Group (UCL), APIDIS Basket Ball Dataset, https://sites.uclouvain.be/ispgroup/Softwares/APIDIS

4. Stats LLC., STATS ICETM Pro Analytics Platform, https://www.stats.com/basketball/

5. FastModel Sports, FastDraw Basketball, https://fastmodelsports.com/products/fastdraw-play-diagramming-software

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