Rating evaluation of sports development efficiency using statistical analysis: evidence from Russian football
Ilya Solntsev, Anatoly Vorobyev, Elnura Irmatova, Nikita Osokin

TL;DR
This paper develops a statistical efficiency rating model for Russian football regions, evaluating development performance across multiple dimensions and factors, revealing regional disparities and implications for sports management.
Contribution
The paper introduces a novel efficiency rating model for Russian football regions incorporating multiple dimensions and support factors, enhancing evaluation accuracy.
Findings
No region achieved maximum rating.
Regions hosting the 2018 FIFA World Cup did not outperform others.
The model highlights regional disparities in sports development.
Abstract
Increasing investments into various dimensions of sports draw a significant amount of attention to the way these resources are being managed and which organizations achieve development goals with higher efficiency. This paper reviews the methodology of designing an efficiency rating model for assessing sports entities, focusing on the experience of Russian football. The Russian Regional Efficiency of Football Development model aims to evaluate the regional federations of the Football Union of Russian via 5 dimensions. The scoring method of the model is based on the three-sigma rule of distribution. Support factors in the form of population density and climate were also included, since Russian regions significantly differentiate in these aspects. The findings of this paper showcased that not a single region was able to achieve a maximum 5- star rating, while regions set to host the 2018…
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Taxonomy
TopicsSports Analytics and Performance · Sport and Mega-Event Impacts · Sports, Gender, and Society
