Visual analysis of forecasts of football match scores
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
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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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 |
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2022-10-14T20:09:08Z |
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https://hdl.handle.net/10438/32792 |
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