Visual analysis of forecasts of football match scores

Detalhes bibliográficos
Autor(a) principal: Fontanella, Flavio Cordeiro
Data de Publicação: 2020
Outros Autores: Sá, Asla Medeiros e, Silva, Moacyr Alvim Horta Barbosa da
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: https://hdl.handle.net/10438/32792
Resumo: The present work describes the application of information visualization techniques to better understand the behaviour of a forecasting model designed to predict football match scores based on past confrontations. We have run the forecasts during the 2019 season of Brazilian National Championship and, once it was over, we gathered data to observe the performance of the forecasts, based on a set of evaluators we propose. The main contribution of this paper is the introduction of visual devices, each attached to one of these evaluators, designed to enhance interpretation of the performance of forecasting models in general and sports forecasts in particular. We also present other visualizations that help taking notice of particular features of the championship and the forecasts.
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spelling Fontanella, Flavio CordeiroSá, Asla Medeiros eSilva, Moacyr Alvim Horta Barbosa daDemais unidades::RPCAEscolas::EMAp2022-10-14T20:09:08Z2022-10-14T20:09:08Z2020https://hdl.handle.net/10438/32792The present work describes the application of information visualization techniques to better understand the behaviour of a forecasting model designed to predict football match scores based on past confrontations. We have run the forecasts during the 2019 season of Brazilian National Championship and, once it was over, we gathered data to observe the performance of the forecasts, based on a set of evaluators we propose. The main contribution of this paper is the introduction of visual devices, each attached to one of these evaluators, designed to enhance interpretation of the performance of forecasting models in general and sports forecasts in particular. 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dc.title.por.fl_str_mv Visual analysis of forecasts of football match scores
title Visual analysis of forecasts of football match scores
spellingShingle Visual analysis of forecasts of football match scores
Fontanella, Flavio Cordeiro
Futebol
Ciências sociais
Futebol - Previsão
title_short Visual analysis of forecasts of football match scores
title_full Visual analysis of forecasts of football match scores
title_fullStr Visual analysis of forecasts of football match scores
title_full_unstemmed Visual analysis of forecasts of football match scores
title_sort Visual analysis of forecasts of football match scores
author Fontanella, Flavio Cordeiro
author_facet Fontanella, Flavio Cordeiro
Sá, Asla Medeiros e
Silva, Moacyr Alvim Horta Barbosa da
author_role author
author2 Sá, Asla Medeiros e
Silva, Moacyr Alvim Horta Barbosa da
author2_role author
author
dc.contributor.unidadefgv.por.fl_str_mv Demais unidades::RPCA
Escolas::EMAp
dc.contributor.author.fl_str_mv Fontanella, Flavio Cordeiro
Sá, Asla Medeiros e
Silva, Moacyr Alvim Horta Barbosa da
dc.subject.por.fl_str_mv Futebol
topic Futebol
Ciências sociais
Futebol - Previsão
dc.subject.area.por.fl_str_mv Ciências sociais
dc.subject.bibliodata.por.fl_str_mv Futebol - Previsão
description The present work describes the application of information visualization techniques to better understand the behaviour of a forecasting model designed to predict football match scores based on past confrontations. We have run the forecasts during the 2019 season of Brazilian National Championship and, once it was over, we gathered data to observe the performance of the forecasts, based on a set of evaluators we propose. The main contribution of this paper is the introduction of visual devices, each attached to one of these evaluators, designed to enhance interpretation of the performance of forecasting models in general and sports forecasts in particular. We also present other visualizations that help taking notice of particular features of the championship and the forecasts.
publishDate 2020
dc.date.issued.fl_str_mv 2020
dc.date.accessioned.fl_str_mv 2022-10-14T20:09:08Z
dc.date.available.fl_str_mv 2022-10-14T20:09:08Z
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