@InProceedings{FontanellaMedeSilv:2020:ViAnFo,
               author = "Fontanella, Flavio and Medeiros e S{\'a}, Asla and Silva, Moacyr 
                         Horta H. B. da",
          affiliation = "FGV - Funda{\c{c}}{\~a}o Get{\'u}lio Vargas, Brazil and FGV - 
                         Funda{\c{c}}{\~a}o Get{\'u}lio Vargas, Brazil and FGV - 
                         Funda{\c{c}}{\~a}o Get{\'u}lio Vargas, Brazil",
                title = "Visual Analysis of Forecasts of Football Match Scores",
            booktitle = "Proceedings...",
                 year = "2020",
               editor = "Musse, Soraia Raupp and Cesar Junior, Roberto Marcondes and 
                         Pelechano, Nuria and Wang, Zhangyang (Atlas)",
         organization = "Conference on Graphics, Patterns and Images, 33. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Sports-Forecasting, Forecasting-Evaluation, Football-Analytics, 
                         Sports-Analytics, Sports-Visualization.",
             abstract = "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.",
  conference-location = "Porto de Galinhas (virtual)",
      conference-year = "7-10 Nov. 2020",
                  doi = "10.1109/SIBGRAPI51738.2020.00027",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI51738.2020.00027",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/43BC4NL",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/43BC4NL",
           targetfile = "artigo_Sibgrapi_eXpress.pdf",
        urlaccessdate = "2024, Apr. 29"
}