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  • Designing an Information System Based on the Using of Machine Learning Methods for the Analysis and Forecasting of Sports Statistics

Designing an Information System Based on the Using of Machine Learning Methods for the Analysis and Forecasting of Sports Statistics

Student: Badalyan Shavarsh

Supervisor: Victor Popov

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2020

. For the last thirty years’ information technologies came a long way from something uncertain and unclear to something without which we cannot imagine our lives. With every new invention we depend on it more and more. Our World keep such an incredible size of information. For example, banks store information about every person, every transaction in their history, hospitals store information about every patient, about every disease. There were all known examples that comes to our mind first. With a development of information technologies sport industry also started to show unexpectedly rapid growth. At the mean time more and more little details are starting to play a vital role. For instance, last year only 1.12 centimeters stood in the way of Liverpool from becoming champions. Therefore, in a sport of high achievements no serious club or athlete can reach the goal without data analysis. The general purpose of the project is to design an information system, that will load sport data, store it, show some main stats and graphics, and give some methods for forecasting some of the existing factors.

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