Variations in individual player area in youth football matches: the effects of changes of players’ age, numerical relations, and pitch zones

2022 ◽  
pp. 1-13
Author(s):  
Nuno Coito ◽  
Hugo Folgado ◽  
Félix Romero ◽  
Nuno Loureiro ◽  
Bruno Travassos
Keyword(s):  
Youth Football ◽  
Individual Player

Der Einfluss familialer Merkmale auf den Entwicklungsprozess vom Fussballtalent zum Spitzenspieler

2015 ◽  
Vol 63 (1) ◽  
Keyword(s):  
Childhood And Adolescence ◽  
Research Project ◽  
Maximum Performance ◽  
Adult Level ◽  
Strong Affinity ◽  
Youth Football ◽  
Football Team ◽  
The Family ◽  
Exogenous Factors ◽  
Level Performance

The process by which young talents develop to become top-class players once they reach the age of maximum performance is influenced by numerous factors. Among the exogenous factors, the family plays a central role. In the context of a research project carried out in cooperation with the Swiss Football Association SFV, 159 former members of the national youth football team were interviewed retrospectively, among other things concerning their family circumstances. The study is interested in understanding two issues: 1) It examines which family conditions – compared with average Swiss families – lead to success in adolescence (nomination for a national youth team). 2) Since success in adolescence by no means guarantees top-level performance at the age of maximum performance, the heterogeneity of the sample’s adult level of performance is used to compare players who later achieve greater success to the less successful players. It is found that these players come from families with many chil-dren and a strong affinity to sports. Those players who are particularly successful at the age of maximum performance also felt they received more support from their parents and siblings during childhood and adolescence than the players who went on to be less successful.

scholarly journals Performance Effects with Injury Prevention Exercise Programmes in Male Youth Football Players: A Randomised Trial Comparing Two Interventions

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Hanna Lindblom ◽  
Markus Waldén ◽  
Martin Hägglund
Keyword(s):  
Injury Prevention ◽  
Randomised Trial ◽  
Football Players ◽  
Male Athletes ◽  
Male Youth ◽  
Link Type ◽  
Youth Football ◽  
Performance Effects ◽  
Improved Performance ◽  
Exercise Programmes

Abstract Background Increased performance from injury prevention exercise programmes (IPEPs) may affect injury risks positively and support the implementation of IPEPs. The primary aim was to study the performance effects of injury prevention exercises from two different IPEPs, the Knee Control IPEP and the further developed Knee Control+ IPEP, in youth male football players, and the secondary aim was to compare potential differences in performance effects between the IPEPs. Methods Four male youth football teams were tested for agility, hop and sprint performance at the start of the second half of the competitive season and after the end of the 8-week season. Per randomisation, two teams used Knee Control and two teams Knee Control+. Results In total, 47 players executed a median of 13 IPEP sessions (range 11–21 sessions). No improvements in performance were seen in the group as a whole. The intervention groups showed small declines in sprint and agility performance. There was a significant between-group difference in change for the 505 agility test, with improved performance in the Knee Control and worse performance in the Knee Control+ group, ΔKC vs KC+ = − 0.012 (95% CI − 0.19 to −0.04), d = 0.98. Conclusions No clinically meaningful performance effects were seen from the Knee Control or Knee Control+ IPEP in youth male athletes and no meaningful differences were seen between Knee Control and Knee Control+ regarding effects on performance tests. Trial registration ClinicalTrials.gov identifier: NCT03251404. Registered on 16 August 2017.

scholarly journals Injury rates decreased in men’s professional football: an 18-year prospective cohort study of almost 12 000 injuries sustained during 1.8 million hours of play

2021 ◽  
pp. bjsports-2020-103159
Author(s):  
Jan Ekstrand ◽  
Armin Spreco ◽  
Håkan Bengtsson ◽  
Roald Bahr
Keyword(s):  
Ligament Injury ◽  
Football Players ◽  
Injury Incidence ◽  
Professional Football ◽  
Muscle Injuries ◽  
Time Loss ◽  
Match Play ◽  
Injury Rates ◽  
Surveillance Programme ◽  
Individual Player

BackgroundThe UEFA Elite Club Injury Study is the largest and longest running injury surveillance programme in football.ObjectiveTo analyse the 18-season time trends in injury rates among male professional football players.Methods3302 players comprising 49 teams (19 countries) were followed from 2000–2001 through 2018–2019. Team medical staff recorded individual player exposure and time-loss injuries.ResultsA total of 11 820 time-loss injuries were recorded during 1 784 281 hours of exposure. Injury incidence fell gradually during the 18-year study period, 3% per season for both training injuries (95% CI 1% to 4% decrease, p=0.002) and match injuries (95% CI 2% to 3% decrease, p<0.001). Ligament injury incidence decreased 5% per season during training (95% CI 3% to 7% decrease, p<0.001) and 4% per season during match play (95% CI 3% to 6% decrease, p<0.001), while the rate of muscle injuries remained constant. The incidence of reinjuries decreased by 5% per season during both training (95% CI 2% to 8% decrease, p=0.001) and matches (95% CI 3% to 7% decrease, p<0.001). Squad availability increased by 0.7% per season for training sessions (95% CI 0.5% to 0.8% increase, p<0.001) and 0.2% per season for matches (95% CI 0.1% to 0.3% increase, p=0.001).ConclusionsOver 18 years: (1) injury incidence decreased in training and matches, (2) reinjury rates decreased, and (3) player availability for training and match play increased.

A Bayesian adjusted plus-minus analysis for the esport Dota 2

2020 ◽  
Vol 16 (4) ◽  
pp. 325-341
Author(s):  
Nicholas Clark ◽  
Brian Macdonald ◽  
Ian Kloo
Keyword(s):  
Professional Sports ◽  
Hierarchical Regression ◽  
Sports Analytics ◽  
Bayesian Hierarchical ◽  
The Past ◽  
Score Statistics ◽  
Level Statistics ◽  
Traditional Sports ◽  
Level Information ◽  
Individual Player

AbstractAnalytics and professional sports have become linked over the past several years, but little attention has been paid to the growing field of esports within the sports analytics community. We seek to apply an Adjusted Plus Minus (APM) model, an accepted analytic approach used in traditional sports like hockey and basketball, to one particular esports game: Defense of the Ancients 2 (Dota 2). As with traditional sports, we show how APM metrics developed with Bayesian hierarchical regression can be used to quantify individual player contributions to their teams and, ultimately, use this player-level information to predict game outcomes. In particular, we first provide evidence that gold can be used as a continuous proxy for wins to evaluate a team’s performance, and then use a Bayesian APM model to estimate how players contribute to their team’s gold differential. We demonstrate that this APM model outperforms models based on common team-level statistics (often referred to as “box score statistics”). Beyond the specifics of our modeling approach, this paper serves as an example of the potential utility of applying analytical methodologies from traditional sports analytics to esports.

Mathematical Foci

2014 ◽  
Vol 2 (1-2) ◽  
pp. 5-11
Author(s):  
Romar Correa
Keyword(s):  
Cooperative Game ◽  
The Other ◽  
Individual Player

AbstractWe address the converse of a Wald–Vorob'ev theorem. In a non cooperative game, if the strategy set of any individual player is precompact, we show that the strategy sets of all the other players is precompact.

scholarly journals Tackling in Youth Football

PEDIATRICS ◽  
2015 ◽  
Vol 136 (5) ◽  
pp. e1419-e1430 ◽  
Author(s):  
Keyword(s):  
Youth Football
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