Exploring Euroleague History using Basic Statistics
Christos Katris

TL;DR
This paper analyzes historical Euroleague basketball data to explore game evolution, dominance patterns, scoring trends, and outcomes, demonstrating how basic statistics can provide insights into the sport's development.
Contribution
It introduces a methodology for analyzing historical basketball data using basic statistics to uncover trends and patterns in Euroleague history.
Findings
Geographic dominance patterns identified
Evolution of scoring and possessions analyzed
Impact of top scorers on team performance examined
Abstract
In this paper are used historical statistical data to track the evolution of the game in the European-wide top-tier level professional basketball club competition (until 2017-2018 season) and also are answered questions by analyzing them. The term basic is referred because of the nature of the data (not available detailed statistics) and of the level of aggregation (not disaggregation to individual level). We are examining themes such as the dominance per geographic area, the level of the competition in the game, the evolution of scoring pluralism and possessions in the finals, the effect of a top scorer in the performance of a team and the existence of unexpected outcomes in final fours. For each theme under consideration, available statistical data is specified and suitable statistical analysis is applied. The analysis allows us to handle and answer the above themes and interesting…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSports Analytics and Performance
