Team and individual performance in the Tour de France

Body Mass Index Trends for the Top Five Finishers in Men's Grand Tour and Monument Cycling Events from 1994-2023: Implications for Athletes and Sporting Stakeholders

Weight-related issues can be prevalent in elite-level sports, especially in men's road cycling, where riders may exhibit harmful behaviours, with potentially adverse outcomes for mental and physical health. This study investigated Body Mass Index (BMI) values amongst the top five finishers in the three Grand Tours and the five Monuments races between 1994 and 2023 to assess longitudinal patterns. Publicly available height and weight figures were sourced from ProCyclingStats and BMI scores were calculated for n = 154 and n = 255 individual athletes for the Grand Tours and Monuments, respectively. Two analyses were conducted with correlations and ANOVAs: the first included the BMIs of all top-five finishes and the second focussed on the BMIs of new top-five entrants. The results from both analyses revealed consistent mean BMI decreases over the years and larger effect sizes were apparent in the Grand Tours compared to the Monuments. Although lower BMIs are associated with certain performance advantages, these declining trajectories suggest a need for enhanced awareness in the cycling community and possible regulatory measures and educational programmes to promote the sustainable wellbeing of riders. This may be particularly pertinent given the wider evidence of unhealthy weight-related attitudes and behaviours throughout the sport.

Obesity and individual performance: the case of eSports

BACKGROUND/OBJECTIVES

The study considers the problem of the inclusion of people with obesity in the context of the growing role of computer-based work. Negative stereotypes about people with obesity still hold even when they are irrelevant in tasks that require little physical activity.

SUBJECTS/METHODS

Using data from the realm of competitive video gaming (eSports) and image recognition-based metric of body mass index metric derived from artificial intelligence, we examine the individual performance depending on weight. The sample includes 821 players and 127,533 player performance observations.

RESULTS

For shorter tasks, individuals with normal weight performed better than individuals with obesity. For longer tasks, however, people with Class III (severe) obesity outperformed all others, and their advantage increased with task duration.

CONCLUSIONS

Our findings shed light on an understanding of how actually body features are related to objective individual performance in a competitive context.

Result-based talent identification in road cycling: discovering the next Eddy Merckx

In various sports large amounts of data are nowadays collected and analyzed to help scouts with identifying talented young athletes. In contrast, the literature on result-based talent identification in road cycling is remarkably scarce. The purpose of this paper is to provide insight into the possibilities of the use of publicly available data to discover new talented Under-23 (U23) riders via statistical learning methods (linear regression and random forest techniques). At the same time, we try to find out the main determinants of success for U23 riders in their first years of professional cycling. We collect results for more than 25000 road cycling races from 2007-2018 and consider more than 2500 riders from over 80 countries. We use the data from 2007 to 2017 to train and validate our models, and use the data from 2018 to predict how well U23 riders will perform in their first three elite years. Our results reveal that past U23 race results appear to be important predictors of future cycling performance.

Determinants of Cycling Performance: a Review of the Dimensions and Features Regulating Performance in Elite Cycling Competitions

BACKGROUND

A key tenet of sports performance research is to provide coaches and athletes with information to inform better practice, yet the determinants of athletic performance in actual competition remain an under-examined and under-theorised field. In cycling, the effects of contextual factors, presence of and interaction with opponents, environmental conditions, competition structure and socio-cultural, economic and authoritarian mechanisms on the performance of cyclists are not well understood.

OBJECTIVES

To synthesise published findings on the determinants of cyclists' behaviours and chances of success in elite competition.

METHODS

Four academic databases were searched for peer-reviewed articles. A total of 44 original research articles and 12 reviews met the inclusion criteria. Key findings were grouped and used to shape a conceptual framework of the determinants of performance.

RESULTS

The determinants of cycling performance were grouped into four dimensions: features related to the individual cyclist, tactical features emerging from the inter-personal dynamics between cyclists, strategic features related to competition format and the race environment and global features related to societal and organisational constraints. Interactions between these features were also found to shape cyclists' behaviours and chances of success.

CONCLUSION

Team managers, coaches, and athletes seeking to improve performance should give attention to features related not only to the individual performer, but also to features of the interpersonal, strategic, global dimensions and their interactions.

Temporary organizational forms and coopetition in cycling

Purpose

The purpose of this study is to investigate the determinants of breakaway success in road cycling races.

Design/methodology/approach

Descriptive statistics were computed, and a logit model of breakaway success was estimated based on a new kind of statistical data describing the development of each of the 268 breakaways that occurred in the 76 regular stages of the Tour de France 2013 to 2016.

Findings

Breakaway success partly depends on the physics of cycling: breakaways are more successful when the stage is hilly or in mountain than flat. In addition, the likelihood of breakaway success depends on strategic moves such as attack timing and the percentage of riders with a teammate in the breakaway.

Research limitations/implications

Understanding why certain breakaways succeed and others do not is useful to comprehend cycling performance and to help coopetitive temporary organizational forms such as breakaways optimize their strategic behavior. A limitation is the focus on the Tour de France only.

Originality/value

The present study adds to the literature on temporary organizational forms, coopetition and cycling performance by analyzing within-stage data in cycling and, as such, enabling to capture its strategic dimension.

The impact of cross-cultural communication on collective efficacy in NCAA basketball teams

This research contributes to the knowledge and theory on cross-cultural communication by investigating the impact of cross-cultural communication competence on the collective efficacy of multicultural National Collegiate Athletic Association basketball teams. Data was collected from 140 US National Collegiate Athletic Association basketball coaches via the Cross-Cultural Communication Competence Questionnaire and the Collective Efficacy Questionnaire for Sports. Principle component analysis was conducted on the data, revealing that the cross-cultural communication competence and collective efficacy of basketball teams are multidimensional. The hypothesized relationship between cross-cultural communication competence and collective efficacy was confirmed and statistically measured through regression analysis. It was found that four of the cross-cultural communication competence dimensions produced by the principle component analysis exhibited a significant positive relationship with one of the two dimensions within collective efficacy. Given the well-supported relationship between collective efficacy and team performance in business, this study produces important implications for scholars and practitioners working with multicultural sporting teams.

Diversity effects on team performance in the Tour de France

Purpose

– The aim of this study is to examine the effects of team diversity on team performance in the Tour de France.

Design/methodology/approach

– Longitudinal data on teams participating in the Tour de France between 2004 and 2013 are used for the empirical analysis (n = 208). Team performance is captured with a standardized measure controlling for the number of riders arriving in Paris. Diversity is measured with the variation coefficient (continuous variables) and the Blau index (categorical variables). Regression analysis is used to analyze diversity effects on team performance.

Findings

– The results show that diversity in terms of tenure significantly adds to team performance, while diversity in terms of skills (proxied by body mass index) decreases performance. Diversity in terms of age, nationality, language, previous Tour participations and stage wins has no significant effect on team performance. The more teammates arrive in Paris, the better the team’s performance.

Practical implications

– The findings have implications for team managers and the composition of teams. Managers should employ riders who are heterogeneous regarding tenure and homogeneous regarding skills. While investing in the integration of riders of different nationalities or languages does not pay off, it can be recommended to select riders who are likely to arrive in Paris.

Originality/value

– The present study adds to the literature by examining diversity in a variety of attributes including human capital, experience and success that are observable in sport.

Network analysis and football team performance: a first application

Purpose

– This paper aims to illustrate how network analysis can be used to assess the group relationships within a professional football team, starting from the assumption that team results depend, at least in part, on the interaction between team members on the pitch. Elaborating an evaluation model of team relationships can help management in making conscious choices with regards to footballer assessment, selection and acquisition.

Design/methodology/approach

– The methodology is based on a qualitative/quantitative approach. Data have been acquired through direct observation. UCINET 6.4 software was used to elaborate the data.

Findings

– An empirical observation was carried out according to the network analysis applicative process, through the analysis of a UEFA Champions League match. The objective was to illustrate the potential of network analysis to assess football team relationships and identify a system of quantitative key indicators, which can be used to elaborate a framework for evaluating the relationships in professional football teams.

Originality/value

– This model means that it is possible to analyse elements such as the group members’ attitude towards cooperation, providing an evaluation tool for membership relationships that have not yet been expressed through quantitative indicators, as these indicators are relevant in the development of football game tactics.