Sáhka

Abstract

Elite football today is infused with technologies for collecting data on players' performance and health. Technologies such as wearable health and fitness trackers, full-body medical scans, and positional systems mounted around a stadium give coaches a wide range of accurate data about their players. However, coaches do not have the time or ability to analyze all this data for each player to give them individualized training schedules. Hence, coaches need tools to collect, analyze, summarize, and present the data to them in a much more consumable format.

Existing systems within sports technology are isolated, only collecting their own data and using it for their own purposes. Hence, Sáhka will break out of this norm and create a novel system within this domain.

Sáhka is a system that federates relevant data from several different sources. The data is processed, stored, analyzed, and presented visually to the users. Additionally, by collecting a large quantity and variety of data, Sáhka acts as a Big Data repository for real-time sports data. In the future, Sáhka will be used as a platform for training Machine Learning algorithms.