7 papers
Forecasting Soccer Matches through Distributions
Tiago Mendes-Neves, Yassine Baghoussi, LuÃs Meireles +2
Forecasting sporting events encapsulate a compelling intellectual endeavor, underscored by the substantial financial activity of an estimated $80 billion wagered in global sports b…
A Neighbor-based Approach to Pitch Ownership Models in Soccer
Tiago Mendes-Neves, LuÃs Meireles, João Mendes-Moreira
Pitch ownership models allow many types of analysis in soccer and provide valuable assistance to tactical analysts in understanding the game's dynamics. The novelty they provide ov…
The Geostrategy of Youth Player Recruitment in Portuguese Clubs
Tiago Mendes-Neves, LuÃs Meireles, João Mendes-Moreira +1
Portugal's prominent role as a global exporter of football talent is primarily driven by youth academies. Notably, Portugal leads the global ranking in terms of net transfer balanc…
Kernel Corrector LSTM
Rodrigo Tuna, Yassine Baghoussi, Carlos Soares +1
Forecasting methods are affected by data quality issues in two ways: 1. they are hard to predict, and 2. they may affect the model negatively when it is updated with new data. The…
Forecasting Events in Soccer Matches Through Language
Tiago Mendes-Neves, LuÃs Meireles, João Mendes-Moreira
This paper introduces an approach to predicting the next event in a soccer match, a challenge bearing remarkable similarities to the problem faced by Large Language Models (LLMs).…
Estimating Player Performance in Different Contexts Using Fine-tuned Large Events Models
Tiago Mendes-Neves, LuÃs Meireles, João Mendes-Moreira
This paper introduces an innovative application of Large Event Models (LEMs), akin to Large Language Models, to the domain of soccer analytics. By learning the language of soccer -…