kdd_lab Just tweeted ********************************************** RT @SoBigData: New @SoBigData blogpost on the differences between women’s and men's #football by @rossi_ale @mesosbrodleto and @lucpappalard https://t.co/OqnFjURp2U #sportdatascience (@mPinoe from @USWNT celebrating during the last #WorldCup - Photo credit FRANCK FIFE/AFP via Getty Images) https://t.co/cF1zrYr6lV
www.sobigdata.eu
Intensity vs Accuracy: Technical-tactical differences between male
Women's football took its first steps since the early twentieth-century. Unfortunately, the ostracism from the English Football Association drastically slowed down its development, which experienced
kdd_lab Just tweeted ********************************************** RT @rossi_ale: Are you looking for a journal to publish your scientific paper about team sports? This special issue is the right choice for you! https://t.co/6EcGEDuwu0 @SoBigData @TrecrociAthos @DamianoFormenti @DinoPedreschi #sportdatascience @RicercaUnipi @kdd_lab https://t.co/f5CAes5ZPO
Frontiers
Factors Affecting Performance and Recovery in Team Sports: A Multidimensional Perspective
Team sports impose the athletes playing within an unpredictable and stressful environment featuring multiple high paced actions. Most of these actions are pivotal to turn sport-specific situations (i.e., athlete-to-athlete duels) into favourable occasions…
kdd_lab Just tweeted ********************************************** RT @SoBigData: Players’ blood sample profiles could help to predict #injuries in #soccer! Discover how much in our latest paper! 👉 https://t.co/iSknzg3IaZ @SoBigData @lucpappalord @mesosbrodleto @kdd_lab @REA_research #SportDataScience #DataScience #DataAnalytics
SpringerLink
Blood sample profile helps to injury forecasting in elite soccer players
Sport Sciences for Health - By analyzing external workloads with machine learning models (ML), it is now possible to predict injuries, but with a moderate accuracy. The increment of the prediction...