TCC - Bacharelado em Sistemas da Informação (Sede)
URI permanente para esta coleçãohttps://arandu.ufrpe.br/handle/123456789/427
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Item O uso de Auto ML nas apostas esportivas(2022-06-02) Oliveira, José Matheus Souza de; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504The sports betting market has been growing effectively, and of the 40 teams that compete in the A and B series of the Brazilian Championship, 35 are sponsored by bookmakers. Observing the number of gamblers that are profitable, it was found that there is a great need for solutions that help these people to become profitable. In order to achieve this goal in the long term, the first step of this project is to evaluate the use of Auto Machine Learning (AutoML) solutions in two betting scenarios: both teams score, and the match has more or less than 2 goals. For this work, data from the 2017 Serie A Brazilian Football Championship were used. The championship has 38 rounds in total and 10 matches in each round, totaling 380 matches. To calculate the profit scenarios, two forms of evaluation were established: without restriction and with probability restriction. Comparing the results obtained in these two scenarios, scenario 2 in all results presented a profit, unlike what was achieved in scenario 1, in addition, we have the assertiveness rate that was much more positive in scenario 2, reaching a value of 73.68% while the maximum rate obtained in scenario 1 was 63.88%.Item Uso de business intelligence como ferramenta de apoio em previsões de apostas de jogos de futebol(2021-12-16) Domingues, Marcela Soares; Albuquerque Júnior, Gabriel Alves de; http://lattes.cnpq.br/1399502815770584; http://lattes.cnpq.br/6238090449898774The number of Brazilians that currently make investments on online sports betting, mainly related to football teams, are huge. This practice is allowed in Brazil since 2018, according to the law 3.756/18. With this permission granted, added to the Brazilian passion for football games, this is an investment area that has been growing fast since then, reaching high levels of financial movements, making people to call on this practice as guaranty of extra or main source of incomes. To make an investment in an specific bet, the ideal is that you have some idea of the risks you are taking. Betting involves losses and sometimes the investments are worthless. To know that, is necessary to take into account some variables as historical data from football teams and players. The use of Business Intelligence, that is already used for some teams to study the behaviour of others, is also of great value when it comes to analyze which bets are worth to make an invesment. Through BI concepts, this paper presents the development of a dashboard containing graphs and reports with the intention to help on the bet analysis. Besides that, it also presents a predict model to find out the amount of goals in an specific match and the calculation of winning probabilities of each team in a given match.