Implementation of the game model of the Polish Ekstraklasa team using machine learning techniques

• Autorzy: Pogodziński Jakub

Identyfikatory

DOI

10.15439/2021F144

• Konferencja: Federated Conference on Computer Science and Information Systems (16 ; 02-05.09.2021 ; online)
• Języki publikacji: EN

Abstrakty

EN

The aim of the thesis is to create a model defining the style of play of a team playing in the Polish Ekstraklasa. The limitation to the highest Polish league class is dictated by the differences in the style of play depending on the league. The model is to be created on the basis of data about the team's game. To build the model, supervised and unsupervised learning techniques will be used and compared to find the relationship between the team's statistics and the determination of its playing style.

Słowa kluczowe

EN

football statistics; match adaptation; data analysis; supervised learning; unsupervised learning; team statistics; clustering algorithms; training data; test data

PL

statystyki piłkarskie; adaptacja meczu; analiza danych; uczenie nadzorowane; uczenie bez nadzoru; statystyki drużynowe; algorytmy grupowania; dane treningowe; dane testowe

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2021
• Tom: Vol. 26
• Strony: 231
• Opis fizyczny: Bibliogr. 2 poz.

Twórcy

autor

Pogodziński Jakub

• Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Uniwersytetu Poznańskiego 4 Street, 61-614 Poznań, Poland

Bibliografia

• [1] Statsbomb, “Introducing Similar Team Search” https://statsbomb.com/2020/12/introducing-similar-team-search
• [2] Balla M., “Which teams are the most similar to Bayern Munich?” https://totalfootballanalysis.com/article/teams-similar-bayern-munich

Uwagi

Track 5: Young Researchers Workshop on Artificial Intelligence and Cybersecurity