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Analyzing passing networks in association football based on the difficulty, risk, and potential of passes

-team activity in attacking phases of professional football. International Journal of Performance Analysis in Sport , 14, 692–708. Gonçalves, B., Coutinho, D., Santos, S., Lago-Penas, C., Jiménez, S., & Sampaio, J. (2017). Exploring team passing networks and player movement dynamics in youth association football. PloS One , 12, e0171156. Håland, E., Wiig, A., Stålhane, M., & Hvattum, L. (2019). Evaluating passing ability in association football. IMA Journal of Management Mathematics , forthcoming. Kang, B., Huh, M., & Choi, S. (2015). Performance analysis

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Ordinal versus nominal regression models and the problem of correctly predicting draws in soccer

References Audas, R., Dobson, S., & Goddard, J. (2002). The impact of managerial change on team performance in professional sports. Journal of Economics and Business , 54 , 633–650. Cain, M., Law, D., & Peel, D. (2000). The favourite–longshot bias and market efficiency in UK football betting. Scottish Journal of Political Economy , 47 , 25–36. Dixon, M. & Pope, P. (2004). The value of statistical forecasts in the UK association football betting market. International Journal of Forecasting , 20 , 697–711. Dobson, S. & Goddard, J

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Performance in Team Sports: Identifying the Keys to Success in Soccer

-270. Carling C, Reilly T, Williams A. Performance assessment for field sports: Physiological, psychological and match notational assessment in practice. London: Routledge, 2009. Carling C, Williams A, Reilly T. Handbook of soccer match analysis: a systematic approach to improving performance. London: Routledge, 2005. Carmichael F, Thomas D, Ward R. Production and efficiency in Association Football. J Sports Econ, 2001; 2(3): 228-243. Carmichael F, Thomas D, Ward R. Team performance: the case of

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Physical Demands of Top-Class Soccer Friendly Matches in Relation to a Playing Position Using Global Positioning System Technology

, Helsen W. Activity profile of top-class association football referees in relation to fitness-test performance and match standard. J Sports Sci , 2009; 27: 9-17 McLellan CP, Lovell DI, Gass GC. Biochemical and endocrine responses to impact and collision during elite rugby league match play. J Strength Cond Res , 2011; 25: 1553-1562 Mohr M, Krustrup P, Bangsbo J. Match performance of high-standard soccer players with special reference to development of fatigue. J Sports Sci , 2003; 21: 519-528 Osgnach C, Poser S, Bernardini R, Rinaldo R, Di Prampero

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Offensive Sequences in Youth Soccer: Effects of Experience and Small-Sided Games

The present study aimed to analyze the interaction and main effects of deliberate practice experience and smallsided game format (3 vs. 3 and 6 vs. 6 plus goalkeepers) on the offensive performance of young soccer players. Twentyeight U-15 male players were divided into 2 groups according to their deliberate practice experience in soccer (i.e., years of experience in federation soccer): Non-Experienced (age: 12.84 ± 0.63 years) and Experienced (age: 12.91 ± 0.59 years; experience: 3.93 ± 1.00 years). The experimental protocol consisted of 3 independent sessions separated by one-week intervals. In each session both groups performed each small-sided game during 10 minutes interspersed with 5 minutes of passive recovery. To characterize the recorded offensive sequences we used the Offensive Sequences Characterization System, which includes performance indicators previous applied in other studies. No interaction effects on the offensive performance were found between both factors. Non-parametric MANOVA revealed that the factor “experience level” had a significant effect (p<0.05) on performance indicators that characterize the development of offensive sequences, especially in 6 vs. 6 + GKs. While experienced players produced longer offensive sequences with greater ball circulation between them, the non-experienced participants performed faster offensive sequences with a predominance of individual actions. Furthermore, significant differences were observed (p<0.05) in the development and finalization of offensive sequences within each group, when comparing small-sided game formats. Evidence supports that small-sided games can serve several purposes as specific means of training. However, the manipulation of game format should always consider the players’ individual constraints.

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Combined Small‐Sided Game and High‐Intensity Interval Training in Soccer Players: The Effect of Exercise Order

Abstract

The aim of the present study was to compare combined small‐sided game (SSG) and high‐intensity interval training (HIT) with different order. Twenty‐one semi‐professional soccer players were divided into two groups: SSG+HIT (n = 10) and HIT+SSG (n = 11), and underwent similar four‐week training programs. Players completed the 30‐15 Intermittent Fitness Test (30‐15IFT) before and after the experiment; maximum speed (VIFT) was recorded. During the experiment, seven sessions of SSG (3 vs 3) and HIT (15ʺ‐15ʺ with 95‐100% VIFT) were implemented. Weekly accumulated training loads for both groups during the experiment were similar. Moderate improvements in VIFT were observed in both SSG+HIT (+6.2%, 90% confidence limits, [CL] 4.6; 7.7 and Effect Size, [ES] +0.96) and HIT+SSG (+6.9%, 90% CL 4.6; 9.3 and ES +0.97) groups. Between‐group difference in changes of VIFT was trivial (+0.7%, 90% CL ‐1.8; 3.3 and ES +0.11). Combining SSG and HIT in different order elicited the same enhancement in high‐intensity intermittent performance in soccer players.

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Multifactorial analysis of factors influencing elite Australian football match outcomes: a machine learning approach

elite Australian football. Journal of Strength and Conditioning Research, 27 (5), 1272-1279. doi:10.1519/JSC.0b013e318267925f Hagglund, M., Walden, M., Magnusson, H., Kristenson, K., Bengtsson, H., & Ekstrand, J. (2013). Injuries affect team performance negatively in professional football: An 11-year follow-up of the UEFA Champions League injury study. British Journal of Sports Medicine, 47 (12), 738-742. doi:10.1136/bjsports-2013-092215 Hvattum, L. M., & Arntzen, H. (2010). Using ELO ratings for match result prediction in association football

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Trends of Goal Scoring Patterns in Soccer: A Retrospective Analysis of Five Successive FIFA World Cup Tournaments

FIFA World Cup™ reached 3.2 billion viewers, one billion watched final-Recent findings, 2015 Available at http://www.fifa.com/worldcup/news/y=2015/m=12/news Accessed on 20.06.2017 Furley P, Noël B, Memmert D. Attention towards the goalkeeper and distraction during penalty shootouts in association football: a retrospective analysis of penalty shootouts from 1984 to 2012. J Sport Sci 2017; 35: 873-879 10.1080/02640414.2016.1195912 Furley P Noël B Memmert D Attention towards the goalkeeper and distraction during penalty shootouts in association

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Influence of Contextual Variables on Performance of the Libero Player in Top-Level Women’s Volleyball

Mesquita I Sampaio J Moutinho C Comparative analysis between libero and priority receivers on the offensive organization, from the serve reception on the volleyball game Rev Port Cien Desp 2006 6 3 318 328 Lago C. The influence of match location, quality of opposition, and match status on possession strategies in professional association football. J Sport Sci 2009; 27(13): 1463–1469 10.1080/02640410903131681 Lago C The influence of match location, quality of opposition, and match status on possession strategies in professional association

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Analysis of Successful Offensive Play Patterns by the Spanish Soccer Team

teams. Eur J Sport Sci , 2017; 17(4): 473-481 10.1080/17461391.2016.1271459 28068210 Ramos A Coutinho P Silva P Davids K Mesquita I How players exploit variability and regularity of game actions in female volleyball teams Eur J Sport Sci 2017 17 4 473 481 Vilar L, Araújo D, Davids K, Bar-Yam Y. Science of winning soccer: Emergent pattern-forming dynamics in association football. J Syst Sci Complex 2012; 26(1): 1-13 Vilar L Araújo D Davids K Bar-Yam Y Science of winning soccer: Emergent pattern-forming dynamics in

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