The ESI professors, Eusebio Angulo and Francisco Pascual Romero, will analyze the data of the Hungarian Veszprém Handball Team
Collaboration agreement between the UCLM and the Veszprém Handball ZRT of Hungary
Researchers from the Higher School of Computer Science of the Ciudad Real Campus of the University of Castilla-La Mancha (UCLM) Eusebio Angulo Sánchez-Herrera and Francisco Pascual Romero Chicharro will analyze the data and statistics of the Veszprém Handball Team in their matches of the 2020 season -2021 – Champions League, the SEHA League and the Hungarian League- after the research agreement signed by the Regional University and the Hungarian team.
This line of research is part of the BIDEA (Handball, Research and Development of Advanced Statistics) initiative. A work that aims to apply statistics and computer science to handball and that has the collaboration of Alex Nogués and Imanol Álvarez, national coaches who make up the Bera Bera handball coaching staff.
The tasks of these researchers focus on 8 points: area maps of performance and effectiveness; scoring of players; productivity; plus-minus; victory probability prediction models; outcome prediction; automatic data processing and automatic calculation of court players.
In this sense, Angulo Sánchez-Herrera has clarified that the performance and effectiveness maps help to know directly the most effective areas, that is, those from which the goals are scored and from where the assists are given; Meanwhile he scoring It helps to evaluate the performance of the players objectively. Also, productivity, related to the scoring, indicates how much a player produces based on what he plays; and the plus-minus assesses the behavior of the team taking into account when the player is on the court and when he is not.
Other statistics that these two UCLM researchers study through the BIDEA project are the direct calculation of the probability of victory at each moment of the match and the prediction of results through the use of algorithms based on previous statistics. Lines of work to which we must add the automatic processing of data obtained from different sources, as well as the automatic identification of the players on the court, which would allow greater speed and precision in the calculation of indicators such as the plus-minus.
