Big-Data in sports

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Game analysis in football with the help of neuronal networks 

Central Findings

  • Identifikation of team- and group-tactical processes in football
  • Analysis of interaction processes on the basis of position data
  • Recognition and classification of team-tactical processes
  • Recognition and classification of group-tactical processes
  • Recognition and classification of individual tactical processes
  • Diagnostics of tactical creativity/game intelligence
  • Analysis of creatively oriented training programs
  • Complex decision research
  • Analysis and simulation of complex game bahavior with the help of neuronal networks
  • Visualization of game processes through trajectories on neuronal networks
  • Pattern recognition analysis of complex game processes in football through trajectories on neuronal networks

Fund applications and grants

  • German Research Association (DFG, 2008 2013) (ME 2678/7-1)
  • DFG (ME 2678/3-2) Federal Institute for Sport sciences (BISp, 2004 2006) (VF 407/06/12/2001-2002) BISp (VF 07/06/04/2005-2006)
  • Documenta 2007
  • DAAD 2010 und ERASMUS 2008, 2009, 2010
  • ERASMUS-Stipendium (2004, 2007, 2009)
  • German Academic Exchange Service (DAAD, 2010 2011)

 

Game analysis in field study: English subtitles available!