Issue |
EPL
Volume 89, Number 3, February 2010
|
|
---|---|---|
Article Number | 38007 | |
Number of page(s) | 5 | |
Section | Interdisciplinary Physics and Related Areas of Science and Technology | |
DOI | https://doi.org/10.1209/0295-5075/89/38007 | |
Published online | 17 February 2010 |
Soccer: Is scoring goals a predictable Poissonian process?
1
Westfälische Wilhelms Universität Münster, Institut für Physikalische Chemie - Corrensstr. 30, 48149 Münster, Germany, EU
2
Westfälische Wilhelms Universität Münster, Institut für Organische Chemie - Corrensstr. 40, 48149 Münster, Germany, EU
Corresponding author: andheuer@uni-muenster.de
Received:
26
October
2009
Accepted:
12
January
2010
The non-scientific event of a soccer match is analysed on a strictly scientific level. The analysis is based on the recently introduced concept of a team fitness (Eur. Phys. J. B, 67 (2009) 445) and requires the use of finite-size scaling. A uniquely defined function is derived which quantitatively predicts the expected average outcome of a soccer match in terms of the fitness of both teams. It is checked whether temporary fitness fluctuations of a team hamper the predictability of a soccer match. To a very good approximation scoring goals during a match can be characterized as independent Poissonian processes with pre-determined expectation values. Minor correlations give rise to an increase of the number of draws. The non-Poissonian overall goal distribution is just a consequence of the fitness distribution among different teams. The limits of predictability of soccer matches are quantified. Our model-free classification of the underlying ingredients determining the outcome of soccer matches can be generalized to different types of sports events.
PACS: 89.20.-a – Interdisciplinary applications of physics / 02.50.-r – Probability theory, stochastic processes, and statistics
© EPLA, 2010
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.