Comparison of GPS and IMU systems for total distance, velocity, acceleration and deceleration measurements during small-sided games in soccer

Sandmæl, Simen Raaen; Dalen, Terje

doi:10.1080/23311886.2023.2209365

Cited by 3 publications

(3 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As evident from the co-occurrence network analysis, early studies primarily focused on acute physiological responses (e.g., HR, bL, rate of perceived exertion) of players subjected to various task constraint manipulations (e.g., playing format, pitch size) [31][32][33]. However, a notable shift occurred after 2018, with an increasing number of original research studies emphasising the monitoring of locomotor and mechanical demands (external load) in response to task constraints [34,35]. Furthermore, the outcomes investigated during SSGs have transitioned from predominantly physiological and physical aspects to a greater emphasis on technical and tactical elements [4,5,36].…”

Section: Discussionmentioning

confidence: 99%

Bibliometric analysis of scientific production in small-sided games

Clemente

2023

Hum Mov.

View full text Add to dashboard Cite

Purpose.The present study constitutes a comprehensive bibliometric analysis aimed at evaluating both the quantity and quality of scientific output pertaining to small-sided games (SSGs). This analysis employs science mapping techniques to explore networks and clusters within publications, authors, and keywords associated with the SSG field.Methods.The process of identifying relevant studies involved a rigorous search across reputable databases, including PubMed, Scopus, and Web of Science (Core Collection). Inclusion criteria stipulated that studies must primarily focus on SSGs, with explicit references to SSGs or synonymous terms in the title or abstract.Results.Out of 3,125 initially retrieved titles, 1,084 met these criteria and were included. When considering five-year intervals, the average number of annual publications from 2019 to 2023 stood at 122.2. It is noteworthy that, in the last five years (2019–2023), a total of 34 reviews were published. Additionally, there is an increasing prevalence of keywords related to soccer, athletic performance, global positioning systems and their associated metrics, as well as terms associated with tactical behaviour, validity, and reliability.Conclusions.The bibliometric analysis revealed that the majority of studies in this field have predominantly focused on training load monitoring, particularly concerning acute effects and with a strong emphasis on soccer. Future research directions should aim to address existing imbalances, including the incorporation of more experimental randomised controlled studies, a broader range of sports, and the inclusion of female participants. Additionally, mixed-methodological approaches should be encouraged to enhance the depth and breadth of the field.

show abstract

Section: Discussionmentioning

confidence: 99%

Bibliometric analysis of scientific production in small-sided games

Clemente

2023

Hum Mov.

View full text Add to dashboard Cite

show abstract

“…In soccer, the gold standard for measuring external load is through GPS wearable devices [ 7 ]. These devices capture various metrics, such as total distance (TD) covered, number of accelerations and decelerations, distance covered in sprinting zones, and high-intensity actions [ 8 ]. However, a drawback of GPS devices is the requirement for athletes to wear them, necessitating careful attention from coaching staff [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

“…This technology extracts the players’ data points from the video footage, providing their positions on the pitch, usually at 25 frames per second [ 10 ]. Tracking data offers the same features as GPS trackers, with very close accuracy, but includes additional contextual details such as the positions of opponents and the ball, which can greatly aid tactical analysis [ 8 ]. However, implementing tracking data requires infrastructure, and GPS trackers offer more flexibility in day-to-day usage, especially when teams move between different training and match locations.…”

Section: Introductionmentioning

confidence: 99%

Building Individual Player Performance Profiles According to Pre-Game Expectations and Goal Difference in Soccer

Skoki,

Gašparović,

Ivić

et al. 2024

Sensors

View full text Add to dashboard Cite

Soccer player performance is influenced by multiple unpredictable factors. During a game, score changes and pre-game expectations affect the effort exerted by players. This study used GPS wearable sensors to track players’ energy expenditure in 5-min intervals, alongside recording the goal timings and the win and lose probabilities from betting sites. A mathematical model was developed that considers pre-game expectations (e.g., favorite, non-favorite), endurance, and goal difference (GD) dynamics on player effort. Particle Swarm and Nelder–Mead optimization methods were used to construct these models, both consistently converging to similar cost function values. The model outperformed baselines relying solely on mean and median power per GD. This improvement is underscored by the mean absolute error (MAE) of 396.87±61.42 and root mean squared error (RMSE) of 520.69±88.66 achieved by our model, as opposed to the B1 MAE of 429.04±84.87 and RMSE of 581.34±185.84, and B2 MAE of 421.57±95.96 and RMSE of 613.47±300.11 observed across all players in the dataset. This research offers an enhancement to the current approaches for assessing players’ responses to contextual factors, particularly GD. By utilizing wearable data and contextual factors, the proposed methods have the potential to improve decision-making and deepen the understanding of individual player characteristics.

show abstract