I am Laszlo GyarmatiSport AnalystData ScientistProblem SolverLast Resort



Computer Scientist focusing on Sport Analytics

I am a Co-Founder at DecaCoach, a football analytics firm focusing on analyzing team movements. Prior to DecaCoach, I was a Senior Software Engineer at Qatar Computing Research Institute (QCRI) where my research focuses on quantitative analysis of football. Before that, I was an Associate Researcher at Telefonica Research in Barcelona, Spain where I was leading a research project on football analytics. In addition, I carried out research in areas such as network economics, game theoretic analysis of communication networks, online price discrimination, and online social networks. I received my Ph.D. and M.Sc. in Computer Science at the Budapest University of Technology and Economics. My work on football analytics was covered by BBC, The Economist, New Scientist, and MIT Technology Review, among others.


2018 -


DecaCoach, Hungary

Leading the data science efforts of our sport analytics startup. Modeling the complex problem of the movements of football team and the roles of players within. Identifying recurrent patterns in team movements using machine learning techniques. Delivering actionable, data-driven insights that can exploit the weaknesses of the upcoming opponent.

2014 - 2017

Senior Software Engineer

Qatar Computing Research Institute, Qatar

Carrying out research in the area of sport analytics. Focusing on the quantitative evaluation of the performance of football players. Designing and developing a quantitative player scouting system with cutting-edge metrics to evaluate the performance of the players, and identify similarities among them.

2011 - 2014

Associate Researcher

Telefonica Research, Spain

Involved in a joint research project with FC Barcelona on football analytics. Investigating what kind of factors contribute to the success of football teams and players, from a quantitative viewpoint. Studying problems of telecommunication networks with a special focus on the financial implications of the solutions.

2008 - 2011

Ph. D. in Computer Science

Budapest University of Technology and Economics, Hungary

Focusing on network economics related problems using metdologies including game theory, network science, linear programming.

2007 - 2010

M. Sc. in Biomedical Engineering

Budapest University of Technology and Economics, Hungary

Joint degree program with Semmelweis Medical University.

2003 - 2008

M. Sc. in Computer Science

Budapest University of Technology and Economics, Hungary

Major in Telecommunication.

Consultancy Services

I am open to offer consultancy services in the area of sport analytics either project-based or continuous advisory role. Please feel free to get in touch with me.


Selected publications related to football analytics:

  • L. Gyarmati, R. Stanojevic: QPass: a Merit-based Evaluation of Soccer Passes, In. Proc. ACM KDD Workshop on Large-Scale Sports Analytics, San Francisco, USA, 2016
  • L. Gyarmati, M. Hefeeda: Analyzing In-Game Movements of Soccer Players on Scale, In Proc. MIT Sloan Sports Analytics Conference, Boston, USA, 2016
  • L. Gyarmati, X. Anguera: Automatic Extraction of the Passing Strategies of Soccer Teams, In. Proc. ACM KDD Workshop on Large-Scale Sports Analytics, Sydney, Australia, 2015
  • L. Gyarmati, M. Hefeeda: Estimating the Maximal Speed of Soccer Players on Scale, In Proc. of Machine Learning and Data Mining for Sports Analytics Workshop, Porto, Portugal, 2015
  • L. Gyarmati, H. Kwak, P. Rodriguez: Searching for a Unique Style in Soccer, in Proc. 2014 ACM KDD Workshop on Large-Scale Sports Analytics, 2014

Full list of publications

  • Quantitative Player Scouting: from Datasets to Insights, FC Barcelona Sport Technology Symposium; Barcelona, Spain – 2015
  • Quantitative player selection: Which player fits into the team strategy?, U1 Sport Data Analytics Summit; Budapest, Hungary – 2016
  • Analyzing In-Game Movements of Soccer Players at Scale, Machine Learning and Data Analytics Symposium; Doha, Qatar – 2016
  • Quantitative analysis of football players' pre- and post-pass movements, OptaPro Analytics Forum; London, UK – 2014
  • Detecting Price and Search Discrimination On the Internet, DIMACS Workshop on Economic Aspects of Information Sharing; Stanford University, USA – 2013
  • The Economist: A different ball game
  • BBC: FC Barcelona: The science behind their success
  • New Scientist: AI football manager knows how different teams play the game
  • L’express: Le big data explique comment l’equipe de foot de Barcelone gagne ses matchs
  • PhysicsToday, News Picks: Network analysis reveals difference in soccer styles
  • El Confidencial: La teoria de redes desvela los secretos del tiki-taka
  • MIT Technology Review: How Network Theory Is Revealing Previously Unknown Patterns in Sports
  • The Wall Street Journal: Websites Vary Prices, Deals Based on Users' Information
  • The Wall Street Journal, Digits: Want a Deal Online? Pose as a Bargain Shopper


  • All
  • Scouting
  • Gameplay
  • Others


My latest blog entries at Medium

I am covering diverse set of topics related to the connection of sports and analytics.



+36 30 242 0071