Biol Sport. 2025;42(3):17–28
1. Lames M, McGarry T. On the search for reliable performance indicators in game sports. Int J Perform Anal Sport. 2007 Jan 3; 7(1):62–79.
2.
Memmert D, Rein R. Match analysis, Big Data and tactics: current trends in elite soccer. Dtsch Z Sportmed. 2018 Mar 1; 2018(03):65–72.
3.
Sarmento H, Clemente FM, Araújo D, Davids K, McRobert A, Figueiredo A. What Performance Analysts Need to Know About Research Trends in Association Football (2012–2016): A Systematic Review. Sports Med. 2018 Apr 14; 48(4):799–836.
4.
Rein R, Memmert D. Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science. Springerplus. 2016 Dec 24; 5(1):1410.
5.
Luís Vilar, Duarte Araújo, Keith Davids, Yaneer Bar-Yam. Emergent pattern forming dynamics in association football. J Syst Sci Complex. 2013; 26(1):73–84.
6.
Filho E, Basevitch I, Yang Y, Tenenbaum G. Is the best defense a good offense? Comparing the brazilian and italian soccer styles. Kinesiology. 2013; 45(2):213–221
7.
Vogelbein M, Nopp S, Hökelmann A. Defensive transition in soccer – are prompt possession regains a measure of success? A quantitative analysis of German Fußball-Bundesliga 2010/2011. J Sports Sci. 2014 Jul 3; 32(11):1076–83.
8.
Barreira D, Garganta J, Guimarães P, MacHado J, Anguera MT. Ball recovery patterns as a performance indicator in elite soccer. Proc Inst Mech Eng P J Sport Eng Technol. 2014 Mar; 228(1):61–72.
9.
Bauer P, Anzer G. Data-driven detection of counterpressing in professional football. Data Min Knowl Discov. 2021 Sep 8; 35(5):2009–49.
10.
Fernandez-Navarro J, Ruiz-Ruiz C, Zubillaga A, Fradua L. Tactical Variables Related to Gaining the Ball in Advanced Zones of the Soccer Pitch: Analysis of Differences Among Elite Teams and the Effect of Contextual Variables. Front Psychol. 2020 Jan 21; 10.
11.
Link D, Lang S, Seidenschwarz P. Real Time Quantification of Dangerousity in Football Using Spatiotemporal Tracking Data. PLoS One. 2016 Dec 30; 11(12):e0168768.
12.
Low B, Rein R, Schwab S, Memmert D. Defending in 4-4-2 or 5-3-2 formation? small differences in footballers’ collective tactical behaviours. J Sports Sci. 2022 Feb 1; 40(3):351–63.
13.
Yi Q, Yang J, Wang X, Gai Y, Gómez-Ruano MÁ. Interactive Effects of Situational Variables Regarding Teams’ Technical Performance in the UEFA Champions League. Front Psychol. 2022 Mar 17; 13.
14.
Ruan L, Ge H, Gómez MÁ, Shen Y, Gong B, Cui Y. Analysis of defensive playing styles in the professional Chinese Football Super League. Science and Medicine in Football. 2023 Jul 3; 7(3):279–87.
15.
Ali A. Measuring soccer skill performance: a review. Scand J Med Sci Sports. 2011 Apr 7; 21(2):170–83.
16.
Harper DJ, Sandford GN, Clubb J, Young M, Taberner M, Rhodes D, et al. Elite football of 2030 will not be the same as that of 2020: What has evolved and what needs to evolve? Scand J Med Sci Sports. 2021 Feb 22; 31(2):493–4.
17.
Nassis GP, Massey A, Jacobsen P, Brito J, Randers MB, Castagna C, et al. Elite football of 2030 will not be the same as that of 2020: Preparing players, coaches, and support staff for the evolution. Scand J Med Sci Sports. 2020 Jun 18; 30(6):962–4.
18.
Sarmento H, Pereira A, Matos N, Campaniço J, Anguera TM, Leitão J. English Premier League, Spaińs La Liga and Italýs Seriés A – What’s Different? Int J Perform Anal Sport. 2013 Dec 3; 13(3):773–89.
19.
Zeng Z, Pan B. A Machine Learning Model to Predict Player’s Positions based on Performance. In: Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support. SCITEPRESS – Science and Technology Publications; 2021. p. 36–42.
20.
Pappalardo L, Cintia P, Rossi A, Massucco E, Ferragina P, Pedreschi D, et al. A public data set of spatio-temporal match events in soccer competitions. Sci Data. 2019 Oct 28; 6(1):236.
21.
Sánchez-López R, Echeazarra I, Castellano Paulis J. Validación de un instrumento para calificar la competencia futbolística a partir de Wyscout. Apunts Educación Física y Deportes. 2023 Oct 2; (154):83–94.
22.
Akoglu H. User’s guide to correlation coefficients. Turk J Emerg Med. 2018 Sep; 18(3):91–3.
23.
Jeong Y, Jung MJ. Application and Interpretation of Hierarchical Multiple Regression. Orthopaedic Nursing. 2016 Sep; 35(5):338–41.
24.
Pornchanok R. Comparing Stepwise Regression Models to the Best-Subsets Models, or, the Art of Stepwise. Gordon, P Brooks. 2016; 42(1):1–14.
25.
Rampinini E, Impellizzeri FM, Castagna C, Coutts AJ, Wisløff U. Technical performance during soccer matches of the Italian Serie A league: Effect of fatigue and competitive level. J Sci Med Sport. 2009 Jan; 12(1):227–33.
26.
Bradley PS, Lago-Peñas C, Rey E, Gomez Diaz A. The effect of high and low percentage ball possession on physical and technical profiles in English FA Premier League soccer matches. J Sports Sci. 2013 Aug 22; 31(12):1261–70.
27.
Lago-Ballesteros J, Lago-Peñas C. Performance in team sports: Identifying the keys to success in soccer. J Hum Kinet. 2010 Sep 30; 25(1):85–91.
28.
Wang S hang, Qin Y, Jia Y, Igor KE. A systematic review about the performance indicators related to ball possession. PLoS One. 2022 Mar 17; 17(3):e0265540.
29.
Coutinho D, Gonçalves B, Laakso T, Travassos B. Clustering ball possession duration according to players’ role in football small-sided games. PLoS One. 2022 Aug 25; 17(8):e0273460.
30.
Yi Q, Gómez MA, Wang L, Huang G, Zhang H, Liu H. Technical and physical match performance of teams in the 2018 FIFA World Cup: Effects of two different playing styles. J Sports Sci. 2019 Nov 17; 37(22):2569–77.
31.
Gonzalez-Rodenas J, Lopez-Bondia I, Calabuig F, James N, Aranda R. Association between playing tactics and creating scoring opportunities in elite football. A case study in Spanish Football National Team. Journal of Human Sport and Exercise. 2015; 10(1):65–80.
32.
Lago-Peñas C, Gómez-Ruano MÁ, Owen AL, Sampaio J. The effects of a player dismissal on competitive technical match performance. Int J Perform Anal Sport. 2016 Dec 3; 16(3):792–800.
33.
Njororai WWS. Analysis of goals scored in the 2010 world cup soccer tournament held in South Africa. Journal of Physical Education and Sport. 2013; 13(1):6–13.
34.
Iván-Baragaño, Maneiro R, Losada JL, Ardá A. Tactical differences between winning and losing teams in elite women’s football. Apunts Educacion Fisica y Deportes. 2022 Jan 1; (147):45–54.
35.
Brito Souza D, López-Del Campo R, Blanco-Pita H, Resta R, Del Coso J. A new paradigm to understand success in professional football: analysis of match statistics in LaLiga for 8 complete seasons. Int J Perform Anal Sport. 2019 Jul 4; 19(4):543–55.
36.
Brito de Souza D, López-Del Campo R, Blanco-Pita H, Resta R, Del Coso J. An Extensive Comparative Analysis of Successful and Unsuccessful Football Teams in LaLiga. Front Psychol. 2019 Nov 8; 10.
37.
Andrzejewski M, Oliva-Lozano JM, Chmura P, Chmura J, Czarniecki S, Kowalczuk E, et al. Analysis of team success based on match technical and running performance in a professional soccer league. BMC Sports Sci Med Rehabil. 2022 Dec 5; 14(1):82.
38.
Lepschy H, Woll A, Wäsche H. Success Factors in the FIFA 2018 World Cup in Russia and FIFA 2014 World Cup in Brazil. Front Psychol. 2021 Mar 9; 12.
39.
González-Rodenas J, Ferrandis J, Moreno-Pérez V, López-Del Campo R, Resta R, Del Coso J. Differences in playing style and technical performance according to the team ranking in the Spanish football LaLiga. A thirteen seasons study. PLoS One. 2023 Oct 20; 18(10):e0293095.
40.
Tenga A, Holme I, Ronglan LT, Bahr R. Effect of playing tactics on goal scoring in norwegian professional soccer. J Sports Sci. 2010; 28(3):237–44.
41.
Hatzimanouil D, Saavedra JM, Stavropoulos N, Pic M, Mavromatis G, Lozano D. Performance analysis of goalkeepers and final team rankings in men’s international handball championships. Journal of Physical Education and Sport. 2022; 22(8):1905–14.
42.
Rathke A. An examination of expected goals and shot efficiency in soccer. Journal of Human Sport and Exercise. 2017; 12(Proc2).
43.
Dimov D, Atanasov E. THE ROLE OF SET PIECES IN MODERN SOCCER. In: Proceeding book Vol2. Scientific Publishing House NSA Press; 2022. p. 417–22.
44.
Hewitt A, Greenham G, Norton K. Game style in soccer: what is it and can we quantify it? Int J Perform Anal Sport. 2016 Apr 3; 16(1):355–72.
45.
Carling C, Bloomfield J. The effect of an early dismissal on player work-rate in a professional soccer match. J Sci Med Sport. 2010 Jan; 13(1):126–8.
46.
Bar-Eli M, Tenenbaum G, Geister S. Consequences of players’ dismissal in professional soccer: A crisis-related analysis of group-size effects. J Sports Sci. 2006 Oct; 24(10):1083–94.
47.
Anders A, Rotthoff KW. Yellow Cards: Do They Matter? J Quant Anal Sports. 2011 Jan 13; 7(1).
48.
Titman AC, Costain DA, Ridall PG, Gregory K. Joint Modelling of Goals and Bookings in Association Football. J R Stat Soc Ser A Stat Soc. 2015 Jun 1; 178(3):659–83.
49.
Badiella L, Puig P, Lago-Peñas C, Casals M. Influence of Red and Yellow cards on team performance in elite soccer. Ann Oper Res. 2023 Jun 16; 325(1):149–65.
50.
Forcher L, Forcher L, Altmann S, Jekauc D, Kempe M. The keys of pressing to gain the ball – Characteristics of defensive pressure in elite soccer using tracking data. Sci Med Footb. 2024 Apr 2; 8(2):161–9.
51.
Rein R, Raabe D, Memmert D. “Which pass is better?” Novel approaches to assess passing effectiveness in elite soccer. Hum Mov Sci. 2017 Oct; 55:172–81.
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