Player skill estimation for soccer match prediction. (26th December 2019)
- Record Type:
- Journal Article
- Title:
- Player skill estimation for soccer match prediction. (26th December 2019)
- Main Title:
- Player skill estimation for soccer match prediction
- Authors:
- Lopez, Juan Pablo Maldonado
Jindra, Vojtěch - Abstract:
- In this paper we propose two algorithms for assessing skill of soccer players. We introduce an adaptation of the Elo rating algorithm, which is widely used in chess, to handle teams. A different approach is proposed to assess player skill as a function of the proportion of matches won. Since it is hard to measure skill directly, to estimate the performance of our approach we propose as a proxy the number of correctly predicted match outcomes of a classifier that takes as input our algorithms' output. Numerical experiments suggest that our approach is competitive with book-keeper's estimates, even though we rely only on historical game outcome data.
- Is Part Of:
- International journal of applied pattern recognition. Volume 6:Number 1(2019)
- Journal:
- International journal of applied pattern recognition
- Issue:
- Volume 6:Number 1(2019)
- Issue Display:
- Volume 6, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 6
- Issue:
- 1
- Issue Sort Value:
- 2019-0006-0001-0000
- Page Start:
- 52
- Page End:
- 57
- Publication Date:
- 2019-12-26
- Subjects:
- Elo ranking -- skill-based ranking -- soccer ranking
Pattern perception -- Periodicals
Pattern recognition systems -- Periodicals
006.405 - Journal URLs:
- http://inderscience.metapress.com/content/122815 ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 2049-887X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 12148.xml