Performance in endurance sports reflects a complex interplay between physiological, biomechanical, neuromuscular and psychological factors, nutrition, and environmental conditions. This review focuses on physiological factors, particularly on the determinants of maximal oxygen uptake (VO_2max), its fractional utilization during competition, and examines how these interact with sport-specific demands and conditions anticipated at the Milano-Cortina 2026 Winter Olympics. We highlight that systemic O₂ delivery, determined by the product of cardiac output and arterial O₂ content, is the primary limiting factor of VO_2max in elite athletes. However, invasive data on elite female athletes are scarce, and more research is needed. Well-developed peripheral characteristics, such as a high mitochondrial density and capillarisation, are important determinants of fractional utilization of VO_2max, but also support high muscle O₂ extraction, which may reach values above 95% in elite endurance athletes, including cross-country skiers. However, most values of fractional utilization of VO_2max in the literature are calculated estimates based on performance determinants and race times, and more research with direct, continuous O₂ uptake measurements during simulated competitions is needed. In endurance sports with undulating terrain race profiles (uphill, downhill, flats), such as cross-country skiing and biathlon, the resulting intermittent exercise intensity creates substantial fluctuations in external power output. As a result, O₂ demands may reach 100%–160% of VO_2max in uphill sections, facilitated by transient but profound anaerobic energy contributions. Thus, the ability to recover anaerobic energy sources in downhill sections and repeatedly use them throughout the race emerges as a critical performance determinant and an avenue for further research, as well as how these abilities influence fractional utilization of VO_2max in intermittent sports. Environmental factors, including moderate altitude (Biathlon will be held in Antholz at ~1650 m) and cold temperatures, exert modest but relevant influences on performance. Understanding these integrative mechanisms is essential for optimizing training and competition strategies for endurance sports at the Winter Olympics and beyond.

Carbohydrates are essential for sustaining performance in most competitive exercise, fueling both anaerobic glycolysis during high-intensity efforts and aerobic metabolism during prolonged activity. Numerous factors contribute to muscle fatigue and exercise performance; still, carbohydrate and muscle glycogen contents are agreed to have an essential role in sustaining prolonged exercise at moderate-to-high intensities. To maintain consistent training and competition performance, elite athletes under certain conditions consume adequate carbohydrates between sessions to restore liver and muscle glycogen and possibly supplement during prolonged workouts to delay depletion. Effective glycogen restoration requires both sufficient carbohydrate intake and adequate recovery time. Understanding how glycogen levels fluctuate during intense or prolonged exercise, the rate at which stores are utilized, and the optimal amount and timing of carbohydrate intake for replenishment is essential. Here we examine the role of carbohydrate availability and utilization in competitive cross-country skiing, which is characterized by exceptionally high whole-body energy turnover with varying loads on the upper- and lower-body muscles as well as fluctuating physiological demands determined by course profile, snow conditions, sub-technique, and race format. This narrative review synthesizes existing evidence on the role of muscle glycogen contents and carbohydrate intake in muscle function and fatigue mechanisms, with a particular focus on cross-country skiing and herein biathlon and Nordic combined. Additionally, we explore how exercise influences glycogen metabolism, the factors regulating glycogen utilization, and training adaptation in order to clarify physiological underpinnings and practical implications for endurance athletes.

While sport psychology has long emphasized mental and cognitive aspects of performance, sports medicine has traditionally focused on musculoskeletal and physiological aspects, largely overlooking the brain's central role in athletic performance. This narrative review aims to bridge this gap by introducing Computational Sports Medicine, a novel framework that integrates cognitive neuroscience with established physiological and biomechanical measures. Using alpine skiing as a primary example, this review examines the critical role of working memory updating in dynamic environments, discusses how neural processes enable adaptation, and proposes Computational Sports Medicine as a unifying predictive framework. This approach moves beyond descriptive analysis to provide objective, quantifiable metrics, testable models, and the ability to simulate “what-if” scenarios for proactive intervention. Practical implications for training include developing sport-specific cognitive tasks, individualizing variability in motor and cognitive learning, and leveraging technologies like virtual reality and wearable sensors. The review primarily targets elite and sub-elite athletes, for whom cognitive and environmental demands are most pronounced. This brain-inclusive framework offers a personalized approach to performance optimization, injury prevention, and safe return-to-play decisions, positioning the brain as the central organ to the future of sports medicine.

The Milano-Cortina 2026 Winter Olympics present an opportunity to synthesize evolving paradigms in endurance training within the broader context of long-term athlete development. As Olympic winter sports span from endurance-limited events to disciplines in which aerobic fitness primarily serves as a feeder capacity, a single training model is insufficient. In this narrative review, we propose a dual framework: (1) a demand-driven, athlete-centered, data-supported model for Endurance-Limited sports (e.g., cross-country skiing, biathlon) and (2) a Feeder-Function model for sports in which endurance primarily supports recovery, training tolerance, and resilience (e.g., freestyle skiing, snowboarding, sliding sports). Within this framework, we narratively synthesize and critically evaluate the literature across key domains, including individualized volume–intensity architectures, the integration of concurrent strength training, and the strategic use of multimodal stress stacking (e.g., hypoxia, heat). We further address the operationalization of emerging performance constructs such as durability, fatigability, resilience, and repeatability. We also present a heuristic tier framework describing when endurance acts as a primary performance limiter versus a supporting capacity across Olympic winter sports. Subsequently, we examine the role of advanced technologies, from multisensor wearables and analytics to mechanistic approaches (e.g., multiomics), highlighting their potential to shift practice from passive monitoring to active, individualized modeling. Future research priorities include validating field-based operational metrics, defining minimal effective endurance doses for feeder-function sports, and developing interpretable, athlete-centered decision-support tools. By aligning sport-specific demands with individualized, evidence-informed prescription, this dual-framework approach offers a perspective to guide interpretation and future applied work for scientists, coaches, and athletes preparing for Milano-Cortina 2026 and beyond.

Pacing is a critical determinant of performance in Olympic endurance winter sports such as cross-country skiing, biathlon, and speed skating. Although the physiological (“engine”) and psychological (“operator”) determinants of pacing have frequently been examined in isolation, growing evidence highlights the need for an integrated psychophysiological perspective. This structured narrative review first outlines the defining characteristics of Olympic winter sports and, within this context, synthesizes current knowledge on the psychophysiological mechanisms governing pacing to inform optimal preparation strategies. We describe how the physiological engine, encompassing energy systems, fatigue, and afferent feedback, and the psychological operator, involving self-regulation, expectations, and cognitive-affective processes, interact to shape pacing behavior. Moreover, the distinctive demands of winter endurance events necessitate consideration of environmental factors such as head-to-head racing formats, variable weather conditions, and undulating terrain. The affordance competition hypothesis is proposed as a unifying framework for understanding pacing as a continuous decision-making process driven by dynamic mind-muscle-environment interactions. Finally, practical recommendations for athletes and coaches preparing for the Milano–Cortina 2026 Winter Olympic Games are presented, advocating a phased training approach that integrates physiological and psychological development within ecologically valid environments. Future research should prioritize real-world competition settings, neurocognitive mechanisms, and underrepresented populations, including women and para-athletes. We conclude that Olympic success in modern endurance winter sports depends on mastering an integrated psychophysiological control system, where performance is determined by both physical capacity and its effective regulation under varying environmental conditions.

Recent advances in computer vision and human pose estimation, together with the increasing accessibility of drone technology, have opened new opportunities for datadriven vision-based performance analysis in sports. However, their applications remain underexplored in cross-country (XC) skiing, where research has predominantly relied on wearable sensors in controlled environments. These approaches are difficult to generalize to field environments and mostly inaccessible to the general public, while video analysis models and unmanned aerial vehicles are rapidly improving. Hence, publicly available XC skiing datasets can enable novel and accessible technique feedback and insights for both professional and recreational athletes. In this work, we introduce the Nordic Skiing Dataset (NSD)1https://www.nordicskiingdataset.se/, a publicly available drone-based video data set designed to support pose estimation, gear classification, and feedback generation for skating-style cross-country skiing. The dataset features 149 annotated videos of 12 skiers across different skill levels, from beginners to elite national athletes. The dataset captures various real-world skiing conditions and includes annotated segments for gear classification and technique evaluation. Pose annotations were generated using AlphaPose with the Halpe26 keypoint format and refined. Developed in close collaboration with domain experts from the Swedish national skiing team, NSD was carefully designed to support robust and generalizable machine learning research. Although we present initial benchmark results for gear classification, our primary contribution is the dataset itself, an open resource designed to foster further research in athlete modeling, transfer learning, performance feedback, and sports biomechanics.

As the Milano-Cortina 2026 Winter Olympics approach, a consolidated understanding of performance determinants across the diverse spectrum of ice sports is crucial, yet the scientific literature remains unevenly distributed. This structured narrative review synthesizes available evidence on key performance-determining factors and contemporary training characteristics for Olympic ice sports, based on topic-driven literature searches and qualitative synthesis. Disciplines are grouped according to their primary performance demands. (1) High-volume gliding sports (long- and short-track speed skating): Performance balances biomechanical efficiency (e.g., aerodynamic posture) against physiological constraints. This necessitates high annual training volumes (900–1100 h·year−1), polarized, mixed-modal training, with short-track adding critical tactical and pack-dynamic elements. (2) Exposure-driven gravity sports (bobsleigh, skeleton, luge): Performance is overwhelmingly determined by start velocity, with the initial 15–65 m contributing disproportionately to overall race outcome. Bobsleigh and skeleton training mirrors sprint athletes, prioritizing lower-body power, while luge demands explosive upper-body strength. (3) Arena-based sports (ice hockey, figure skating, curling): These sports show varied demands. Ice hockey requires managing high-intensity intermittent efforts, with 40%–50% of on-ice distance performed at high skating speeds; figure skating hinges on the power and precision of high-value jumps (e.g., triple and quadruple rotations); and curling relies on delivery accuracy and sweeping strength-endurance. Sex-specific differences, often related to absolute power output (skating, sliding) and biomechanics, are evident, although evidence remains limited or uneven across several disciplines. Rather than providing prescriptive training models, this review identifies discipline-specific training priorities and key gaps in the current evidence base relevant to athlete preparation for Milano-Cortina 2026. 

As the Milano Cortina 2026 Winter Olympic Games approach, a comprehensive understanding of performance determinants across Olympic snow sports is increasingly important to further evolve training and performance. However, the scientific literature remains unevenly distributed, with well-established knowledge in cross-country skiing, biathlon, and alpine skiing, and limited data in disciplines such as ski mountaineering, freestyle skiing, snowboarding, ski jumping, and Nordic combined. This narrative review synthesizes current evidence to (1) identify key performance-determining factors, (2) describe discipline-specific training characteristics, and (3) highlight critical knowledge gaps. Regarding performance determinants, Olympic snow sports can be broadly categorized into endurance-dominant disciplines (e.g., cross-country skiing, biathlon, ski mountaineering), which rely on high aerobic capacity and movement efficiency, and the gravity and technical disciplines (e.g., alpine skiing, freestyle skiing, snowboarding, ski jumping), which emphasize neuromuscular power and technical precision. Nordic combined represents a hybrid of these categories. In terms of training characteristics, elite athletes' training models reflect sport-specific demands through tailored combinations of endurance, strength–power, technical, tactical, and psychological preparation. Finally, regarding knowledge gaps, sex-specific analyses of physiological profiles, biomechanics, and training responses remain scarce, particularly in gravity and technical sports. Furthermore, standardized documentation of training structure, integration of on-snow monitoring technologies, and research on energy availability remain underdeveloped. Addressing these gaps through holistic, multidisciplinary research is essential to develop individualized, sex-informed, and evidence-based frameworks that support athlete development and performance optimization in the lead-up to Milano Cortina 2026 and future Olympic cycles.

Introduction: Understanding how skiers and ski technicians perceive snow conditions and ski preparation is essential for optimising glide performance in cross-country (XC) skiing. While tribological research has established how snow microstructure, water-film formation, and ski-snow interactions influence friction, comparatively little is known about how skiers and ski technicians interpret these mechanisms in practice.

Methods: We therefore conducted a nationwide questionnaire study (n = 249) to quantify perceptual consensus on ten topics related to snow type, glide determinants, ski preparation, and skier-equipment interaction. Responses were analysed using van der Eijk's agreement coefficient for ordinal data and Cliff's delta to evaluate expert (n = 20) versus non-expert (n = 229) differences.

Results: Agreement varied systematically across topics: the highest consensus was found for perceived ski speed on different snow types and structure selection, while the lowest was observed for glide determinants, paired glide tests involving skier mass, and double-poling positioning. Experts showed higher within-group agreement for perceived ski speed in skate-skiing and on moist transformed snow, and they consistently rated ski camber as more important than non-experts did.

Discussion: These findings highlight empirically developed know-how within the skiing community, such as shared heuristics for snow-type assessment and preparation, and systematic expertise-related differences in prioritising fundamental ski characteristics (e.g., camber). As such, they can be used for targeted education and to inform future applied tribology research.

Purpose: To provide insights into the key practices driving the evolution of endurance training and performance. Methods: Atotal of 78 world-class coaches (73 men, 5 women), representing 14 endurance sports, and 18 nations, participated in a digitalsurvey comprising open-ended questions about recent trends and projected future developments. Results: Qualitative thematicanalysis revealed 8 key drivers of change: (1) individualized and sport-specific training strategies, (2) precision in trainingexecution, (3) load-management procedures, (4) strategic use of environmental stressors, (5) optimized nutrition, (6) holisticrecovery practices, (7) health and injury prevention, and (8) equipment and technology-driven innovation. To provide a clearerconceptual framework, these themes were grouped into 3 overarching categories: training methodologies (themes 1–4), recoveryand health management (themes 5–7), and technological innovation (theme 8). Conclusions: World-class endurance coachesdescribe a continuing shift toward more individualized training strategies, characterized by detailed sport-specific considerations,training plans aligned with physiological profiles, greater precision in training execution, refined load management, and strategicuse of environmental stressors. In this context, advanced monitoring technologies are viewed as essential for optimizing trainingadaptations while minimizing the risk of maladaptation and injury. Coaches also emphasized the importance of enhanced healthand recovery strategies to support training adaptations, including sleep quality, stress management, life balance, and targetednutritional interventions, particularly carbohydrate availability. Finally, the rapid development of new equipment and technologies is transforming training and coaching practices, thereby contributing to improved endurance performance.