PREDICTIVE MODELS APPLIED IN SPORTS MANAGEMENT – LITERATURE REVIEW ON RESEARCH TRENDS Cover Image

PREDICTIVE MODELS APPLIED IN SPORTS MANAGEMENT – LITERATURE REVIEW ON RESEARCH TRENDS
PREDICTIVE MODELS APPLIED IN SPORTS MANAGEMENT – LITERATURE REVIEW ON RESEARCH TRENDS

Author(s): Irina-Cristina Cojocariu
Subject(s): Economy, Management and complex organizations, Sports Studies
Published by: Editura Tehnopress
Keywords: Sports analysis; prediction models; prediction of ticket sales; match results;

Summary/Abstract: In recent years, numerous studies have been conducted to obtain by extracting the most accurate estimate of the main parameters in a given field. The techniques were diverse, and the main purpose was to identify how information can become useful knowledge. My area of interest, sports prediction, is constantly evolving, so many organizations have begun to focus on these methods that can provide them with valuable data. Therefore, this article is actually a literature review on how sports data is exploited. On this basis, I can present an overview of what has been studied, research proposals, topics addressed, algorithms and technologies used and future opportunities. Analysing these discoveries I want to offer a mining potential in this field and to attract as many researchers as possible to research the subject of sports predictions.

  • Issue Year: 11/2022
  • Issue No: 23
  • Page Range: 148-153
  • Page Count: 6
  • Language: English