Artificial intelligence for team sports: a survey
Artificial intelligence for team sports: a survey
The sports domain presents a number of significant computational challenges for artificial intelligence and machine learning. In this paper we explore the techniques that have been applied to the challenges within team sports thus far. We focus on a number of different areas, these include: match outcome prediction, tactical decision making, player investments, fantasy sports and injury prediction. By assessing the work in these areas we explore how AI is used in the predict match outcomes, and to help sports teams improve their strategic and tactical decision making. In particular, we describe the main directions in which research efforts have been focused to date. This highlights a number of strengths, but also weaknesses of the models and techniques that have been employed. Finally, we discuss the research questions that exist in order to further the use of AI and machine learning in team sports.
Beal, Ryan
d9874cb0-bd92-4a16-8576-78d769b41ff7
Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d
Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3
2019
Beal, Ryan
d9874cb0-bd92-4a16-8576-78d769b41ff7
Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d
Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3
Beal, Ryan, Norman, Timothy J. and Ramchurn, Sarvapali D.
(2019)
Artificial intelligence for team sports: a survey.
Knowledge Engineering Review, 34, [e28].
(doi:10.1017/S0269888919000225).
Abstract
The sports domain presents a number of significant computational challenges for artificial intelligence and machine learning. In this paper we explore the techniques that have been applied to the challenges within team sports thus far. We focus on a number of different areas, these include: match outcome prediction, tactical decision making, player investments, fantasy sports and injury prediction. By assessing the work in these areas we explore how AI is used in the predict match outcomes, and to help sports teams improve their strategic and tactical decision making. In particular, we describe the main directions in which research efforts have been focused to date. This highlights a number of strengths, but also weaknesses of the models and techniques that have been employed. Finally, we discuss the research questions that exist in order to further the use of AI and machine learning in team sports.
Text
Artificial Intelligence for Team Sports: A Survey
- Accepted Manuscript
Text
Team-Sport-Survey-KER
- Accepted Manuscript
Restricted to Repository staff only
Request a copy
More information
Accepted/In Press date: 2 October 2019
e-pub ahead of print date: 20 December 2019
Published date: 2019
Identifiers
Local EPrints ID: 436900
URI: http://eprints.soton.ac.uk/id/eprint/436900
PURE UUID: 355f1558-cac8-4ab0-99b9-20acbaf77629
Catalogue record
Date deposited: 13 Jan 2020 17:33
Last modified: 17 Mar 2024 05:06
Export record
Altmetrics
Contributors
Author:
Ryan Beal
Author:
Sarvapali D. Ramchurn
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics