Data Analysis

5 players to watch - Premier League

10/08/18 | SciSports

The premier league will start this weekend and the summer transfer window closed already, the first of the big 5-competitions in Europe. In this blog SciSports describes the most interesting transfers in the Premier League from the perspective of the SciSkill Index.

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SciSports

Premier League club Huddersfield Town will work with SciSports and adds sports data analytics platform Insight to their recruitment process

07/08/18 | SciSports

Enschede, 7 August 2018 – Premier League club Huddersfield Town and Dutch data-intelligence company SciSports will cooperate on the player recruitment process. The number sixteen of last Premier League season gets access to the SciSports Insight platform to cover more than 90,000 players around the world.

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Data Analysis

This is an exciting process to be involved in as a Software Developer

11/07/18 | SciSports

In this blogpost we take a look behind-the-scenes with one of SciSports' developers, Coen Hallie. Coen works on the second generation of SciSports' Insight platform and is specialised in producing complex user-friendly visualisations for data analytics modules.

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Data Analysis

The next step for Hirving Lozano

05/07/18 | SciSports

During each tournament several players are shining. The World Cup 2018 is no exception. In this post we give you an exclusive insight into one of the dedicated and decision supporting reports of SciSports’ Datascouting team: the PlayerClub Report. We composed such a report for highly praised Mexican winger Hirving Lozano to determine his best next step.

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In the field

Sander Westerveld: "You cannot just fly around the world and hope that you'll find a new talent"

20/06/18 | SciSports

In this item called ‘In the field’ we share insights from domain experts directly from the football industry. The content is all about user cases and interesting developments from the usage of data analytics in the world of football. This edition is with Sander Westerveld, player agent at World Soccer Consult and former goalkeeper of, among others, Liverpool, Real Sociedad and the Dutch national team.

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SciSports

5 years of SciSports

14/06/18 | SciSports

I still can’t believe what happened in the past five years. We officially founded the company from our student house in Enschede back in 2013. Three (pretty naïve) friends with a passion to discover the world of football and big data thought that they were able to change the football industry. It all started with a dream. Our dream was to build the real-life version of the game Football Manager.

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SciSports

Eintracht Frankfurt partners with SciSports and adds sports data analytics platform Insight to their recruitment process

13/06/18 | SciSports

Enschede, 13 June 2018 – Bundesliga club Eintracht Frankfurt has chosen SciSports as partner for the player recruitment process. The winner of the DFB-Pokal 2017-18 use the SciSports Insight platform to cover more than 90,000 players around the world.

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Data Analysis

SciSkill Index insights of the World Cup 2018 selections

12/06/18 | SciSports

We dived into the SciSkill Index to have a look at the 735 players who will feature at the World Cup 2018 in Russia. Which players might surprise us because of their good shape in the last six months? Which potential stars will be present on the highest stage of world football? After reading this article you can say that you are ready and fully prepared to watch the World Cup 2018 in Russia.

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SciSports

Wigan Athletic adds data intelligence platform Insight to their recruitment process for the coming seasons

08/06/18 | SciSports

Enschede, 8 June – English football club Wigan Athletic and data intelligence company SciSports agreed on a close collaboration. The newly-promoted club will use SciSports expertise and knowledge to compose a team that is ready to enter the Football League Championship.

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Data Analysis

Modern day object detection for football

06/06/18 | SciSports

At SciSports and BallJames, we are interested in real-time localization and tracking of football players and the ball using video footage. Deep learning based approaches have dramatically improved object detection in video images throughout the past few years. This is because of the availability of large datasets, as well as the effectiveness of convolutional networks to learn image features that represent objects in those images.

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Science supporting football

SciSports makes scientific progress accessible and available for any professional football organization. We advise and build solutions to provide them with the competitive edge they need to maintain or improve their ranking and status.

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