Suchergebnisse - Big data

Born, D.-P., Stöggl, T., Lorentzen, J., Romann, M., Björklund, G. “… Objectives To evaluate the new age groups of the World Junior Championships in swimming from a scientific perspective, establish benchmarks and performance corridors that predict success at peak performance age and compare performance corridors between men and women and short-, middle-, and long-distance freestyle races. Design Longitudinal big data analysis. Methods In total, 347,186 annual best times of male (n = 3360, 561 ± 177 Swimming Points) and female freestyle swimmers (n = 2570, 553 ± 183 Swimming Points) were collected across all race distances at peak performance age and retrospectively analyzed throughout adolescence.  …”

Hong, H. J., Hong, S. H. “… Thematic analysis was applied to analyze the data from the focus group interviews. Results: Five main themes were identified: (a) COVID-19-Induced Frustration, (b) From Big Fish in a Small Pond to Small Fish in a Big Pond, (c) Challenges in Academic Commitment, (d) Adapting to Transitions in Living Arrangements, and (e) Recognizing Support Needs for the JST.  …”

Eberhardt, A., Wulff, J., Frohberg, F. “… INTRODUCTION: The risk of injury in snowboarding (SNB) is high, whereas the incidence and type of injury differ depending on discipline and performance level. In SNB Cross, Big air and Halfpipe disciplines occur a higher amount of contact injuries and (landing) falls than in SNB Slalom disciplines.  …”

Fernando, S., Cátia, F., Mário, E. “… Participating players compete in the district football championships 7 and 9, national under-15 championship and U-23 Revelation League.The data were collected through GPS devices, certified by FIFA, Wimu ProTM, placed on the upper back of the trunk, using wimu-specific vests for this purpose.  …”

Siemon, D., Wessels, J. “… Design/methodology/approach: Automated personality mining and robotic process automation were used to gather data (player statistics and big five personality traits) of n = 185 professional basketball players.  …”

Knutson, T. “… "Big Data" hat nunmehr auch im Fußball Einzug gehalten.  …”

Xin, Z. W. “… With the correction action in technical movements and new system training programs to increase the speed of the swim, the study has a big breakthrough in the future of the swim team.This study has carried out data analysis of the swimming team of a primary school in Guangzhou and national team of China, so as to study the training program of the most suitable members to improve the performance of the team members of the swimming team.  …”

Reeves, M. J., Roberts, S. J. “… Based on a holistic ecological approach, this study presents an analysis of talent identification practices across some of the most productive soccer academies in Europe (N = 11). Data were collected via semi-structured interviews with 11 heads of academy recruitment from clubs in the "big five" European leagues.  …”

Feddersen, N. “… Team GB is an international powerhouse in Olympic sports and has become 'much admired around the world for sporting success and the system that exists beneath it' (Grey-Thompson, 2017, p. 4). However, big budgets are levelling the playing field in the Global Sporting Arms Race (cf.  …”

Bell, D. R., Stracciolini, A. “… In this editorial, we want to highlight some of the "big" questions in the field, at least from our perspective.  …”

Bigsby, K. G., Ohlmann, J. W., Zhao, K. “… Big data …”

Faude, O. “… Children are the largest part of the active football family. The FIFA Big Count from 2006 showed that 56% of all registered football players worldwide were youth athletes (FIFA 2007).  …”

Kambic, T., Vukovic, R. S., Vukovic, L., Simenko, J. “… Conclusions: One year of intense training has a big impact on a youth judokas body. With the help of the modern technology and sports testing we can use the acquired data and guide the training process in the way that can lower the occurrence of injuries but still develop the aimed goals, which are connected with better agility, power and better technique.  …”

Kovalchik, S. A., Reid, M. “… Vergleich von Charakteristika der Spiele und von körperlichen Anforderungen bei Junioren- und Profitennisspielern im Zeitalter von Big Data …”

Harrison, A. “… Big Data …”

Sæther, S. A., Solberg, H. A. “… Design/methodology/approach - The empirical data are from Norwegian elite clubs, and come from two web sites: www.altomfotball and www.nettavisen.no.  …”

C. Vila-Cha, M. Costa, P. Esteves “… aus dem Inhalt: - Understanding offensive patterns of performance of futsal top level national teams - Footballers' movement behaviour when playing small-sided games manipulating the number of opponents and teammates - The influence of early sport involvement in a basketball enrichment training program - Performance and variability profiles in competition of nba players: comparing between all-star and non-all-star players - Typical weekly workload of under-15, under-17 and under-19 elite portuguese football players - Effects of using balls from other sports on external workload of players during football small-sided games - The effect of team timeout on the performance indicators in handball match according to the competitive context - Quantitative analysis of leader-follower interactions between football players - Effects of goal manipulation and age level on players performance in futsal - The changing rule effect on basketball performance - Individual and collective creativity in young footballers - The acquisition of aquatic skills in preschool children varies according to the water deep environment during swimming lessons - Physical and tactical performance of elite footballers during the preseason - Soccer analysis of the international milan long term attack that end successfully - How game phase affects the type of set used by u19, u21 and senior male beach volleyball players - Team performance according to ball possession characteristics: a social networks approach - The effect of performance indicators on the time of the first goal scoring in the football match - Time-motion analysis in youth elite rugby players during game training - Game analysis in the era of big data: a social networks approach - Effect of training and exercise intensity on indices of oxidative balance - Infants' physiological response to four months of a swimming program - Modeling performance and biomechanics in young swimmers - Magnesium and phase angle: a prognostic tool in cellular integrity of judo athletes - 2000m all-out and time sustained at 100% of vo2max intensity in rowing ergometer exercise - Post warm-up recovery and performance in swimming - Reliability and construct validity of yo-yo intermittent tests in untrained and football trained pupils - Excellence in orienteering: representation from elite coaches - Seasonal adaptations in the physical performance of futsal players and its effects on defensive skills - The effect of the application of a physical fitness program before and after technical/tactical work in team sports in physical education - Influence of strength, sprint running, and combined strength and sprint running training on short sprint performance in young adults - Power assessment in young male soccer goalkeepers: variation by competitive level - Electromyography in swimming performance: a review - Assessment of anaerobic performance in young swimmers using laboratory and sport specific tests - Cortisol, testosterone and mood state variation during an official female football competition - Anaerobic energy release during various resistance exercises performed at 80% 1-rm - Maximal oxygen uptake in professional football players: comparison between levels and playing positions - Comparison of the hamstring/quadriceps ratios for the assessment of muscle balance in football players of first and second portuguese leagues - Football analysis of the international milan long term attack that end successfully - Post-activation potentiation after a conditional contraction - Sport trajectories and involvement of portuguese olympic rising stars - Spatio-temporal coordination in front crawl at different intensities - a case study - Energy system contribution during 100 m front crawl swimming - The effect of diferent warm-up in handball: termography analysis - Flexibility methods effect in explosive strength in gymnastics/teamgym …”

Mattes, K., Manzer, S., Boehmert, W. “… For several years, regularly in June / July 2000-m race tests in the eight (8+) were performed with the best athletes of each year in preparation for the World Junior Championships (WJC). The data represent the individual rowing technique and the transformation of the motor abilities into rowing performance under the specific conditions of big boats.  …”

Stodden, D. F., Galitski, H. M. “… The purpose of this study was to examine the longitudinal effects of a strength and conditioning program on selected body composition and performance data over 4 consecutive years of training. Body mass, percent body fat, lean body mass, proagility (18.3 m shuttle), 36.6-m (40-yd) sprint, bench press, chin-ups, vertical jump, and power index data for 84 National Collegiate Athletic Association division IA collegiate football players were examined.  …”

Addona, V., Yates, P. A. “… At young ages, a few extra months of development can make a big difference in size, strength, and athletic ability.  …”