Spatio-temporal analytics on soccer game data
The rise of machine learning in today’s world brought about a change towards using data and artificial intelligence to improve professional football. Many teams look towards utilising such technology in order to understand their football team in a relatively new manner, giving them insightful inf...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/150351 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The rise of machine learning in today’s world brought about a change towards using data and
artificial intelligence to improve professional football. Many teams look towards utilising such
technology in order to understand their football team in a relatively new manner, giving them
insightful information in the tactical aspects of footballing formations. From these data, teams
are able to gain an edge over their opponent, and often this is critical in determining the match
outcomes.
As most technologies on football analytics are commercialized and unavailable to the public,
the explores alternative ways to understand a limited set of football tracking data before
converting the data into meaningful tactical information which a football team can benefit from.
A web application will be developed to visualize the data with ease.
The research on formation visualisation of football tracking data showed promising signs of
greater understanding development towards using machine learning in the current football
context. |
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