Lupa

Show document Help

A- | A+ | Print
Title:Ranking footballers with multilevel modeling
Authors:ID Grbec, Gregor (Author)
ID Bašić, Nino (Author)
ID Tkalčič, Marko (Author)
Files:.pdf RAZ_Grbec_Gregor_2024.pdf (211,09 KB)
MD5: B320825195C50D22143D02BA65F89DE5
 
URL https://ceur-ws.org/Vol-3657/paper11.pdf
 
Language:English
Work type:Unknown
Typology:1.08 - Published Scientific Conference Contribution
Organization:FAMNIT - Faculty of Mathematics, Science and Information Technologies
Abstract:Despite football’s collaborative nature, the inquiry into the identity of the best player is a frequent topic in the footballing realm. This discussion disproportionately highlights attacking players, creating an apparent bias, as every team role holds significance. Our study aimed to delineate player performance from team performance and ensure the inclusion of players from all positions in the ultimate ranking of the best players. We sourced data from FBref, encompassing every player in every match played by a top 20 European team in the current century’s top 5 European leagues. Employing a multilevel linear mixed-effects model, we utilized team points as the response variable, accounting for both player and opponent team strength. The extraction of level-2 player residuals, averaged by player, facilitated the creation of a comprehensive ranking for the best players of this century. Surprisingly, two players widely regarded as among the best of all time, Messi and Ronaldo, secured relatively low positions on our list (Ronaldo at 12th, and Messi at 14th).
Keywords:multilevel modeling, footballer ranking, sports modeling
Publication status:Published
Publication version:Version of Record
Publication date:23.03.2024
Year of publishing:2024
Number of pages:Str. [95-101]
PID:20.500.12556/RUP-21330 This link opens in a new window
UDC:004:796.332
ISSN on article:1613-0073
COBISS.SI-ID:238361091 This link opens in a new window
Publication date in RUP:05.06.2025
Views:176
Downloads:10
Metadata:XML DC-XML DC-RDF
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a proceedings

Title:HCI SI 2023
COBISS.SI-ID:190988291 This link opens in a new window

Record is a part of a journal

Title:CEUR workshop proceedings
Shortened title:CEUR workshop proc.
Publisher:M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen.
ISSN:1613-0073
COBISS.SI-ID:12740630 This link opens in a new window

Document is financed by a project

Funder:Other - Other funder or multiple funders
Project number:0013103
Name:CogniCom

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:večnivojsko modeliranje, razvrščanje nogometašev, športno modeliranje


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica