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Welcome to the Journal of Statistics and Data Science in Sports!

Founding vision

JSDSS was founded on three core principles.

First, our commitment to open access is more than just lip service. At JSDSS, open access means free to read and free to publish—no exceptions. JSDSS is a Diamond Open Access journal. Research supported by academic institutions, public funding, or personal effort should not require a payment to reach the audience it deserves.

Second, reproducibility is essential and not an afterthought. The credibility of sports analytics research depends on our ability to verify, replicate, and build upon earlier work. JSDSS will actively incentivize transparency in data, code, and methodology, and work that meets our reproducibility standards will receive a special designation recognizing this commitment.

Third, we believe sport is a rich and underutilized laboratory for statistical and data science innovation. From player evaluation and in-game strategy to league design and fan engagement, sports data present compelling, real-world problems that demand rigorous and creative analytical thinking. We intend for JSDSS to be the definitive venue for this work.

Editors

Advisory Board

Aims and Scope

Aims: The aim of the Journal of Statistics and Data Science in Sports (JSDSS) provide a fully open access (i.e. free for both readers and authors) outlet for original, rigorous, peer-reviewed, reproducible analyses of sports data as well as the data science tools (software, applications, data, etc.) that support those analyses. The Journal of Statistics and Data Science in Sports will always be fully open to both readers and authors: there are no fees associated with publishing or accessing articles in JSDSS. Submissions will be required to follow the Journal of the American Statistical Association protocols for reproducibility.

Scope: We define sports broadly to include any nondeterministic competition or game. Examples include basketball, soccer, badminton as well as competitions like chess and eSports. We welcome submissions that analyze any aspect of sports data in appropriate and innovative ways. These analyses may include, but are not limited to, in–game strategy, player acquisition, and player and team ratings and evaluation, predicting play, game, or season outcomes, analysis of league structures and rules, analysis of player-tracking data, or any other analyses that would help teams, players, fans, leagues, media and researchers understand the game better or make more-informated decisions.

We also accept timely review articles and manuscripts discussing novel datasets, innovative software or applications and original applications of methodology to sports data. Applications should be focused on relevant questions whose answers are likely to be actionable by players, coaches, managers, and/or league officials. JSDSS is committed to making all articles about the analysis of sports data freely available.

Associate Editors

  • Denise Bradford
  • Sameer Deshpande
  • Eric Eager
  • Kathy Evans
  • Bailey Fosdick
  • Amanda Glazer
  • Stephanie Kovalchik
  • Monnie McGee
  • Scott Nestler
  • Josh Pohlkamp-Hartt
  • Scott Powers
  • Nate Sandholtz
  • Elliot Schwartz
  • Tim Swartz
  • Sam Ventura
  • Ron Yurko