diplomsko delo
Borut Flis (Author), Aleksander Sadikov (Mentor)

Abstract

Napovedovanje dobička pri športnih stavah

Keywords

strojno učenje;športne stave;košarka;NBA;analiza tveganja;računalništvo;visokošolski strokovni študij;računalništvo in informatika;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [B. Flis]
UDC: 004.85:347.765(043.2)
COBISS: 1536039619 Link will open in a new window
Views: 80
Downloads: 3
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: Predicting sports betting outcomes
Secondary abstract: We wish to build a model, which could predict the outcome of basketball games. The goal was to achieve an sufficient enough accuracy to make a profit in sports betting. One learning example is a game in the NBA regular season. Every example has multiple features, which describe the opposing teams. We tried many methods, which return the probability of the home team winning and the probability of the away team winning. These probabilities are used for risk analysis. We used the best model in hypothetical sports betting and measured potential net profit. The results are not perfect, so we mentioned possible improvements. I think that a lot of the ideas could also be of use in other fields, which deal with risk and predicting the future.
Secondary keywords: machine learning;sport betting;basketball;NBA;risk analysis;computer science;computer and information science;diploma;
File type: application/pdf
Type (COBISS): Bachelor thesis/paper
Study programme: 1000470
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 21 str.
ID: 8739456
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