A network theory analysis of football strategies
arXiv:1206.6904
Abstract
We showcase in this paper the use of some tools from network theory to describe the strategy of football teams. Using passing data made available by FIFA during the 2010 World Cup, we construct for each team a weighted and directed network in which nodes correspond to players and arrows to passes. The resulting network or graph provides a direct visual inspection of a team's strategy, from which we can identify play pattern, determine hot-spots on the play and localize potential weaknesses. Using different centrality measures, we can also determine the relative importance of each player in the game, the `popularity' of a player, and the effect of removing players from the game.
6 pages, 1 figure, 5 tables
References in corpus (1)
Cited by in corpus (15)
- Using network science to analyze football passing networks: dynamics, space, time and the multilayer nature of the game
- Explaining the difference between men's and women's football
- Searching for a Unique Style in Soccer
- Statistical properties of position-dependent ball-passing networks in football games
- Robustness of football passing networks against continuous node and link removals
- QPass: a Merit-based Evaluation of Soccer Passes
- PageRank Approach to Ranking National Football Teams
- Football tracking networks: Beyond event-based connectivity
- Multiresolution Tensor Decomposition for Multiple Spatial Passing Networks
- Analyzing In-Game Movements of Soccer Players at Scale
- PassVizor: Toward Better Understanding of the Dynamics of Soccer Passes
- Identifying top football players and springboard clubs from a football player collaboration and club transfer networks
- Ashes 2013 - A network theory analysis of Cricket strategies
- Team Performance Evaluation Model based on Network Feature Extraction
- Modeling goal chances in soccer: a Bayesian inference approach