Individualization of Intensity Thresholds on External Workload Demands in Women’s Basketball by K-Means Clustering: Differences Based on the Competitive Level

In previous studies found in the literature speed (SP), acceleration (ACC), deceleration (DEC), and impact (IMP) zones have been created according to arbitrary thresholds without considering the specific workload profile of the players (e.g., sex, competitive level, sport discipline). The use of statistical methods based on raw data could be considered as an alternative to be able to individualize these thresholds. The study purposes were to: (a) individualize SP, ACC, DEC, and IMP zones in two female professional basketball teams; (b) characterize the external workload profile of 5 vs. 5 during training sessions; and (c) compare the external workload according to the competitive level (first vs. second division). Two basketball teams were recorded during a 15-day preseason microcycle using inertial devices with ultra-wideband indoor tracking technology and microsensors. The zones of external workload variables (speed, acceleration, deceleration, impacts) were categorized through k-means clusters. Competitive level differences were analyzed with Mann–Whitney’s U test and with Cohen’s d effect size. Five zones were categorized in speed (<2.31, 2.31–5.33, 5.34–9.32, 9.33–13.12, 13.13–17.08 km/h), acceleration (<0.50, 0.50–1.60, 1.61–2.87, 2.88–4.25, 4.26–6.71 m/s2), deceleration (<0.37, 0.37–1.13, 1.14–2.07, 2.08–3.23, 3.24–4.77 m/s2), and impacts (<1, 1–2.99, 3–4.99, 5–6.99, 7–10 g). The women’s basketball players covered 60–51 m/min, performed 27–25 ACC-DEC/min, and experienced 134–120 IMP/min. Differences were found between the first and second division teams, with higher values in SP, ACC, DEC, and IMP in the first division team (p < 0.03; d = 0.21–0.56). In conclusion, k-means clustering can be considered as an optimal tool to categorize intensity zones in team sports. The individualization of external workload demands according to the competitive level is fundamental for designing training plans that optimize sports performance and reduce injury risk in sport.

Ratio of maximum hamstring torque to maximum quadriceps torque in professional basketball and soccer players

Purpose: The aim of the study was to determine the differences between football players and basketball players in the mean absolute values ​​of maximum torque flexors and extensors, ratio of maximum hamstring torque to maximum quadriceps torque dominant (DOM) non-dominant (ND) leg and differences in bilateral imbalance of flexor muscles and knee extensors. Material and methods: The research included a sample of 39 professional athletes. The first subsample included 19 professional basketball players while the second subsample included 20 professional soccer players. Results: Based on the results of the torques of the extensors in the knee joint of the DOM and ND legs, it was established that there is no statistically significant difference between basketball players and football players. However, a statistically significant difference was found in the torque flexors of the knee joint DOM (p≤0.01) and ND (p≤0.00) of the leg between basketball players and football players. On the other hand, the results of the research indicate that the difference between basketball players and football players in the ratio of Hamstrings peak torque to Quadriceps peak torque was recorded only in the ND leg (p≤0.02), while the difference in the DOM leg is not statistically significant. The results of our study indicate that basketball players have a higher percentage of imbalances compared to football players, especially in m. hamstrings. Conclusion: This study provides normative data on populations specific to soccer and basketball, but does not provide evidence of the ability of the isokinetic assessment of lower extremity muscle strength to predict injuries to football players and basketball players.

French men's professional basketball under the economic shock of the Covid-19

PurposeThe purpose of this paper is to analyse the economic effects of Covid-19 on French men's professional basketball club championships. Three research questions are raised: What are the characteristics of the economic model of French men's professional basketball? Has this economic model changed over the 2008/2009 to 2018/2019 period? What are the economic effects of the Covid-19 crisis on the finance of French men's professional basketball clubs?Design/methodology/approachRelying on a privileged access to the financial data of professional clubs in the two top-tier divisions (456 observations: 222 in Pro A/Jeep Elite and 234 in Pro B), this research focuses on economic models of French men's professional basketball clubs. The breakdown of revenues, expenses and financial performance is examined over the 2008/2009 to 2018/2019 period. The short-term economic effects of Covid-19 are measured over the 2019/2020 and 2020/2021 seasons.FindingsThe Covid-19 crisis, at least in the short term (2019/2020 season), has affected revenues and expenses. With the closedown of the championship, two out of three main revenue sources have significantly decreased, while two main expense sources have decreased as well. The net incomes of Jeep Elite and Pro B clubs are in the black contrasting with the 2018/2019 season (pre-Covid) owing to clubs having benefited from governmental and federal measures and a stronger support from local authorities and their shareholders.Practical implicationsGiven the financial difficulties that clubs would have faced without governmental support, the federation and leagues would be well advised to develop a real crisis management competence within professional clubs. Owners of French professional men’s basketball clubs must increasingly adopt product diversification strategies to be better prepared for future crises.Originality/valueRecent research on the economic effects of Covid-19 has focused on professional and amateur football. To the best of our knowledge, one does not avail detailed research on the potential effects of a health crisis fought with containment measures on professional basketball clubs. French professional basketball deserves to be studied because it has the third largest professional league revenue (behind football and rugby) and it is the second most practiced sport in France. Its sources of finance, which are different from those witnessed in football and rugby, also make it an appropriate subject for study.

Data Mining and Polar Coordinates in the Analysis by Gender of Finishing Behaviors in Professional Basketball Pick and Roll

The open nature of basketball gives it a large uncertainty that makes hard the tactical analysis of the situations that happen in the game. Specifically, screens are one of the offensive tactical elements most used in basketball and one example of a tactical situation that needs the highest preparation level to get a good performance in the competition. The aim of this study is to differentiate these player behaviors by gender using data mining and polar coordinates analysis. Therefore, one ad hoc observational tool made by 17 criteria and 97 exhaustive and mutually exclusive (E/ME) categories has been designed and validated using the data quality analysis (correlation coefficients and concordance index 0.98) and generalizability analysis (G coefficients 0.94) to perform such a study. The observational design is nomothetic, punctual, and multidimensional. A total of 176 ball screens situations have been analyzed for the men's category and 118 for women's category, corresponding to three different teams of each gender playing in the highest competition level in Spain during the 2018/2019 season using Hoisan software tool. The analysis of the relationships among behaviors has been performed using Polar Coordinates analysis as well as data mining analysis: clustering and decision tree classifier. Results show significant relationships that allow us to tactically interpret the pick and roll situations in men's and women's professional basketball players in Spain, allowing us to develop more intervention programs which will optimize training and improve players performance.