Recent Articles

Open access

ISSN: 3050-5445

How situational variables affect match running performance in elite soccer: Evidence from FC Barcelona

This study aimed to analyze the influence of situational variables on match running performance in a champion team across a full competitive season....

Sex-specific physical function for predicting longitudinal fall incidence in older adults: An explainable machine learning approach

Existing prediction models may not sufficiently account for sex-specific contribution patterns and often lack interpretability. This study applied a sex-stratified, multi-model machine learning approach...

Psychological profiles predicting resilience in competitive sport and exercise athletes: A latent class analysis

Resilience is a critical determinant of athletes’ performance, well-being, and ability to adapt under competitive stress. However, athletes may differ substantially in the combination of psychological...

From the restart context to pass execution: Transportability of restart-pass information for football set-piece outcome classification

This study examined whether information recorded at a geometry-verified restart pass improves classification of football set-piece outcomes beyond pre-kick context and whether this incremental value...

Continuous head pose characterization across velocities and playing positions in a professional soccer match: A proof-of-concept study

Visual exploratory behaviour in soccer has been commonly studied through discrete scanning events....

Team practice, team mental models, and hyperbrain activity: A hyperscanning case study in videogaming

The aim was to explore changes in individual and hyperbrain activity in the alpha band during an interactive video game task....

What drives success in FIBA U18 women’s EuroBasket? A machine learning analysis of key performance indicators

This study aimed to investigate the game-related statistics influencing winning probabilities in the Under-18 Women’s EuroBasket Championship. The official FIBA game-related statistics of 348 games...

A probabilistic and dynamic reformulation of expected goals (xG): Methodological advances and modelling perspectives

Expected Goals (xG) is a probabilistic metric that estimates the likelihood of a shot resulting in a goal and is based on factors such as shot location, angle, body part used, and match context. It...

Temporal scoring patterns along games in elite womenʼs handball

The aims of the study were i) to analyse the evolution of the score line during the Tokyo 2020 womenʼs handball tournament and ii) to analyse the offensive performance indicators for the different types...

Microneedle materials for intelligent drug delivery, sports equipment and wearable monitoring

Microneedles (MNs) are widely used for intelligent sports and wearable monitoring. MNs have become popular because of their distinct convenience and wide acceptance, especially in the health rehabilitation...

Context-dependent velocity distributions in professional soccer: Players, referees, and ball conduction

Quantifying locomotor demands in soccer is essential for understanding performance, fatigue, and the physical demands experienced by players and referees throughout the competition. While prior research...

Can a mobile application improve physical activity levels?

This pilot study explored the feasibility and preliminary effects of the EASIER mobile application (app), a gamified mobile application, in improving physical activity levels and other health-related...

A comprehensive technical review of the thermo-physiological comfort levels of sportswear

In this study, the interactions among the properties of fibre composition, fabric structure, garment design, and human thermoregulation will be critically reviewed to better understand personalized...

Differences in strength- and power-related capacities across biological maturation stages in young swimmers

In swimming, dry-land strength and power underpin key performance actions (starts and turns). Because these capacities change markedly during adolescence, accounting for biological maturation is essential...

Offline multi-agent reinforcement learning for evaluating and optimizing football attacking strategies against low-block defences

Applying reinforcement learning to real-world multi-agent systems remains challenging due to coordination complexity, partial observability, and the constraints of learning from static datasets. Football...

Understanding disparities in physiological response to exercise load intensity in PE classes: Effects on physical fitness evaluation stratified by gender, grade and class type

This study examined whether students’ internal and external exercise loads during middle-school physical education (PE) differ by sex, grade, and class type (teaching content). Internal and external...

Domain-guided mixture of experts for EEG-based emotion recognition

Human emotions are closely linked to specific regions of the, and recent studies have increasingly focused on extracting regional representations for EEG-based emotion recognition (EER). However, the...

Evolving landscapes of artificial intelligence in sports: Insights from scientometric and altmetric analyses

The rapid advancement of artificial intelligence (AI) has revolutionised various domains, including sports science. This study presents comprehensive scientometric and altmetric analyses of AI applications...

Did technology break the game? Effects of the video assistant referee (VAR) on elite European soccer

The addition of the video assistant referee (VAR) arguably represents the most significant change in the recent history of professional soccer. In this paper, we investigate whether the VAR has affected...

Analysis of game performance by game period in men’s elite handball

To examine whether offensive game performance varies according to the interaction between the match period and match outcome and to identify the determinants of winning outcomes across different game...

The application of machine learning in precise immune function monitoring of rowers: Building an interpretable XGBoost model based on blood markers used for training assessment

High-intensity training can suppress immune function in rowers; thus, monitoring immune function merits attention. However, in routine athlete monitoring, monitoring immune function is often low priority,...

Video-based cardiopulmonary coupling measurement: A feasibility study

Cardiopulmonary coupling (CPC) analysis quantifies the synchronization between heart rate variability and respiratory signals to reveal cardiopulmonary interactions, playing an important role in clinical...

Drone-based human motion capture: A review

Human motion capture (HMC) plays a vital role in fields such as biomechanics, sports, and rehabilitation. However, the traditional HMC systems are often limited by their high costs, indoor constraints,...

Mechanisms underlying the role of aerobic exercise in emotion regulation and its prescriptive considerations for promoting mental and physical health

With the increasing prevalence of emotional disorders and mental health challenges, identifying safe, effective, and widely applicable intervention strategies has become a pressing concern in public...

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