Journal article Open Access

HandScout: a New System to Record Football Data

Fábio Saraiva Flôres

Background: Since the early 1900s, researchers have been making a great effort to seek more objective ways to analyze sport, especially football matches. Objectives: We aimed to describe HandScout software development, a quantitative tool projected to record football data based on predefined guidelines. Methods and Results: The HandScout is designed according to the dynamical selforganizing system and is composed of 99 individual actions, divided into nine categories: Action map, goal map, offensive organization, offensive transition, defensive organization, defensive transition, set-pieces, passes, and goals against and scored goals. This new information-gathering instrument can assist in the assessment of a wide range of characteristics considering the great complexity of the game and thus provide data about the behavior of players on the pitch. Conclusion: The HandScout is a userfriendly system that provides extensive data information of the team or the opponent. Thus, the HandScout software can provide information to coaches to adapt their weekly training sessions and provide relevant information about the football dynamics.


Files (15.9 MB)
Name Size
15.9 MB Download
  • Araújo, D., Davids, K., & Steel, K. A. (2016). Team Synergies in Sport : Theory and Measures. 7(September), 1–13.

  • Barreira, D., Garganta, J., Castellano, J., & Anguera, M. T. (2013). SoccerEye: a software solution to observe and record behaviours in sport settings. The Open Sports Sciences Journal, 6, 47–55.

  • Bekraoui, N., Cazorla, G., & Léger, L. (2010). Les systèmes d ' enregistrement et d ' analyse quantitatifs dans le football Quantitative notational systems in football. Science et Sports, 25(4), 177–187.

  • Carling, C., Bloomfield, J., Nelsen, L., & Reilly, T. (2008). The Role of Motion Analysis in Elite Soccer Work Rate Data. 38(10), 839–862.

  • Clemente, F., & Sarmento, H. (2020). The effects of small-sided soccer games on technical actions and skills. A systematic review. Human Movement, 21(3), 100–119.

  • Clemente, F., Sarmento, H., Aquino, R., Science, N., Phenomena, C., Manuel, F., Sarmento, H., & Aquino, R. (2020). Player position relationships with centrality in the passing network of world cup soccer teams: Win/loss match comparisons. Chaos, Solitons and Fractals, 133.

  • Costa, I. T., Garganta, J., Greco, P. J., & Mesquita, I. (2009a). Avaliação do desempenho tático no futebol: concepção e desenvolvimento da grelha de observação do teste "GR3-3GR." Revista Mineira de Educação Física, 17(2), 36–64.

  • Costa, I. T., Garganta, J., Greco, P. J., & Mesquita, I. (2009b). Princípios Táticos do Jogo de Futebol : conceitos e aplicação Os Princípios Táticos. Motriz, 15(3), 657–668.

  • Costa, I. T., Garganta, J., Greco, P. J., & Mesquita, I. (2011a). Proposta de avaliação do comportamento tático de jogadores de futebol baseada em princípios fundamentais do jogo. Motriz: Revista de Educação Física, 17(3), 511–524.

  • Costa, I. T., Garganta, J., Greco, P. J., & Mesquita, I. (2011b). Proposta de avaliação do comportamento tático de jogadores de Futebol baseada em princípios fundamentais do jogo. Motriz, 17(3), 511–524.

  • Davids, K., Araújo, D., & Shuttleworth, R. (2005). Applications of Dynamical Systems Theory to Football. Science and Football V, i, 537–550.

  • Davids, K., Araújo, D., Vilar, L., Renshaw, I., & Pinder, R. (2013). An ecological dynamics approach toskill acquisition: Implications for development of talent in sport. Talent Development and Excellence, 5(1), 21–34.

  • Flôres, F., Balsan, G., & Balsan, L. (2016). Scout Analysis of Soccer: New Look on the Brazilian Championship. International Journal of Sports Science, 6(3), 83–87.

  • Flôres, F., Santos, D. L., Carlson, G. R., & Gelain, E. Z. (2019). What can coaches do? The relationship between substituion and results of professional soccer matches. Revista Brasileira de Futsal e Futebol, 11(43), 215–222.

  • González-Víllora, S., Serra-Olivares, J., Pastor-Vicedo, J. C., & Da Costa, I. T. (2015). Review of the tactical evaluation tools for youth players, assessing the tactics in team sports: football. SpringerPlus, 4(1), 1–17.

  • Hughes, M., & Bartlett, R. (2002). The use of performance indicators in performance analysis. Journal of Sports Sciences, 20(10), 739–754.

  • Hughes, M., Dawkins, N., David, R., & Mills, J. (1998). The perturbation effect and goal opportunities in soccer. Journal of Sports Sciences, 16(Part II: Interdisciplinary Supplement).

  • McGarry, T., Anderson, D., Wallace, S. A., Hughes, M., & Franks, I. (2002). Sport competition as a dynamical self-organizing system. Journal of Sports Sciences, 20(10), 771–781.

  • Mcgarry, T., & Mcgarry, T. (2017). Applied and theoretical perspectives of performance analysis in sport : Scientific issues and challenges challenges. 8668.

  • Mendo, A., Teresa, M., & Argilaga, A. (2000). Software for recording observational files. 32(3), 436–445.

  • Morgans, R., Orme, P., Anderson, L., & Drust, B. (2014). Principles and practices of training for soccer. Journal of Sport and Health Science, 3(4), 251–257.

  • Reep, C., & Benjamin, B. (1968). Skill and chance in association football. Journal of the Royal Statistical Society. Series A (General), 131(4), 581–585.

  • Reilly, T., & Williams, M. (2003). Science and Soccer(2nd ed.). Routledge.

  • Sarmentoa, H., Romac, P., Marquesd, A., & Leitãob, J. (2015). Tactical analysis of Barcelona, Inter Milan and Manchester United counterattack. International Research in Science and Soccer II, 48.

  • Silva, P., Ribeiro, J., Davids, K., Araújo,D., Guilherme, J., Silva, P., & Clemente, F. M. (2019). Exploiting Bi-Directional Self-Organizing Tendencies in Team Sports : The Role of the Game Model and Tactical Principles of Play. October.

All versions This version
Views 106106
Downloads 129129
Data volume 2.1 GB2.1 GB
Unique views 9999
Unique downloads 122122


Cite as