Aims and Scope

Aims

The aim of the Journal of Statistics and Data Science in Sports is to provide an outlet for original, rigorous, practical, state-of-the-art, reproducible, and peer-reviewed analysis 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,
• 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. Additionally, reproducibility is strongly encouraged particularly when non-proprietary data is used, and articles that meet our standards of reproducibility will receive a special designation.