Objective
Data plays an increasingly important role in sport, from monitoring of fitness of athletes to success statistics in baseball. In football (soccer) the team performance is more important than the performance of any one individual. While every team has its star players, it is the ability of the team to function as a unit that is the key to its success. For the data analyst, this presents a challenge: how to measure, understand and improve team performance. My research during an ERC funded action (IDCAB) has revolved around devising exactly this type of analysis methods. Starting with my work on measuring and understanding animal groups in the ERC action, I have gone on to develop a set of tools for looking at the collective action on the football pitch.
In May 2016 my popular science book, Soccermatics, will be published by Bloomsbury press. This book details some of the work on football analysis I have done up until now, and will give me, and Soccermatics, significant name recognition. But it is jus a starting point: the idea of this PoC proposal is to develop a set of commercial tools for both clubs and fans to better understand football.
I will use data provided by sports performance company Opta to provide consultancy to football clubs, online football analysis for fans and copyright protected applications for visualising football. I will build the business through three initial projects: (1) visualisation for online content; (2) a ‘manage your own team’ app; (3) football club analysis tools. The business will be focussed first on the UK market and scale up to a European and World market.
The main innovation highlights of the action are:
1, Methodology for data analysis established during ERC starting-grant action.
2, Visually striking and intuitive approach to football data. Giving fans and clubs what they want.
3, Multiple avenues for commercialisation.
4, Scalability through delivery of copyrighted software.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- natural sciences computer and information sciences software
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-POC - Proof of Concept Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2016-PoC
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
751 05 Uppsala
Sweden
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.