TY - GEN
T1 - WTDTool
T2 - 2024 IEEE International Workshop on Sport Technology and Research, STAR 2024
AU - Lopez-De-Armentia, Juan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The current situation of women's football structures is far removed from that of men's football. Not least in terms of scouting, where resources, both human and financial, are very limited. There are tools that offer a catalogue of matches from multiple leagues, but the coverage of women's football is still very limited. Not only for match viewing, but it is also difficult to collect line-ups and substitutions from minor leagues. Viewing more than 2-3 leagues with continuity is complicated and on a data level there are still several steps to go before we can create metrics-based scouting processes, as we know in men's football. Within this context, we have created WTDTool, a tool capable of collecting basic information about players from around 30 leagues and the minutes played during the season. This information consists of data such as name, date of birth, position or height. In addition, important data in scouting processes is also collected, such as market value, contract expiry date or injuries that the players have had. Once all the information has been collected automatically, alert-generating processes are executed. This allows you to focus on a small number of players that meet specific criteria without having to carry out a search beforehand. We conducted an expert evaluation, all of them combining different roles within women's football, and they all agreed that WTDTool is an easy to use tool, useful in the scouting process, that helps to make the scouting process more efficient and that the alarms effectively put the spotlight on players likely to be scouted.
AB - The current situation of women's football structures is far removed from that of men's football. Not least in terms of scouting, where resources, both human and financial, are very limited. There are tools that offer a catalogue of matches from multiple leagues, but the coverage of women's football is still very limited. Not only for match viewing, but it is also difficult to collect line-ups and substitutions from minor leagues. Viewing more than 2-3 leagues with continuity is complicated and on a data level there are still several steps to go before we can create metrics-based scouting processes, as we know in men's football. Within this context, we have created WTDTool, a tool capable of collecting basic information about players from around 30 leagues and the minutes played during the season. This information consists of data such as name, date of birth, position or height. In addition, important data in scouting processes is also collected, such as market value, contract expiry date or injuries that the players have had. Once all the information has been collected automatically, alert-generating processes are executed. This allows you to focus on a small number of players that meet specific criteria without having to carry out a search beforehand. We conducted an expert evaluation, all of them combining different roles within women's football, and they all agreed that WTDTool is an easy to use tool, useful in the scouting process, that helps to make the scouting process more efficient and that the alarms effectively put the spotlight on players likely to be scouted.
KW - Alerts
KW - Football
KW - Process Orchestration
KW - Scouting
KW - Sports Analytics
KW - Women
UR - http://www.scopus.com/inward/record.url?scp=85203109615&partnerID=8YFLogxK
U2 - 10.1109/STAR62027.2024.10635969
DO - 10.1109/STAR62027.2024.10635969
M3 - Conference contribution
AN - SCOPUS:85203109615
T3 - 2024 IEEE International Workshop on Sport Technology and Research, STAR 2024 - Proceedings
SP - 144
EP - 149
BT - 2024 IEEE International Workshop on Sport Technology and Research, STAR 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 July 2024 through 10 July 2024
ER -