SkillCorner: Connecting video and event data analytics like never before

SkillCorner have revolutionised the football industry’s approach to data analytics in a world-leading and exciting fashion.

Established by then-university graduate in Applied Mathematics and Data Science Hugo Bordigoni and business executive Charles Montmaneix in 2015, SkillCorner extracts physical tracking data from broadcast footage and generates live match visualisations as a result.

By pairing AI data collection with broadcasting, SkillCorner allows fans to see real-time stats gathered from broadcast footage. Metrics such as Sprint Count, Acceleration and Deceleration Count, High-Speed Running Distance and Total Distance are measured via a combination of computer vision and machine learning technology that aids in multi-object tracking over the course of a match.

SkillCorner has since filled a gap in a sporting landscape which had not yet embraced artificial intelligence and had stuck largely to a manual process of collecting data.

In addition, SkillCorner has developed into one of the strongest tools for clubs in their approach to player recruitment. With an access to both a growing database of football tracking data and tracking data on matches that is received instantly, SkillCorner have proven to be a major advantage for some of the world’s biggest clubs.

Whilst SkillCorner’s early days saw their analytics acquired mostly by sportsbooks, their platform came to the attention of Liverpool’s head of research, Ian Graham, in what was a landmark moment for the data analysis tool.

At the time, Liverpool already had access to excellent tracking data for all English Premier League matches – first through ChyronHego and now with Second Spectrum – but it didn’t have anything comparable when considering moves in the transfer market.

In an interview last year with SportTechie, Bordigoni reflected on the manner in which SkillCorner filled a gap in Liverpool’s approach to the transfer market.

“When we started discussing with Liverpool, it was not the plan to go into the performance business. But Liverpool reached us and said, ‘If you’re able to do it for the betting, it means you don’t have some cameras inside [the venue], you’re doing it from the broadcast and it interests us for player recruitment,” he said.

“When they want to scout players playing Bundesliga in French Ligue 1 or in La Liga, they cannot access the tracking data.”

Liverpool’s business last year saw the then reigning English Premier League champions spend $14 million for left-back Konstantinos Tsimikas, $24 million to acquire central midfielder Thiago Alcantara and $49 million for forward Diogo Jota.

Of its three new players, Liverpool had access to rich tracking data for only Jota, who competed in the same league. SkillCorner compiled data from 23 leagues for last year’s summer transfer window and expects to provide coverage of roughly 40 in the near future.

Jota

Liverpool and SkillCorner collaborated for a year to hone the accuracy of the algorithm before agreeing to a partnership.

Word then spread across Europe – prompting more inquiries – and since then SkillCorner has begun working with new clubs in the Premier League, Italy’s Serie A, Germany’s Bundesliga (including 1.FC Köln and Bayer Leverkusen) and France’s Ligue 1 (including Olympique de Marseille and OGC Nice).

For SkillCorner, event and tracking data are critical to unlocking football performance and engaging with fans. But until now, tracking data has been expensive to collect, time intensive, and not available across different leagues and competitions.

SkillCorner is changing that by providing clubs, betting operators, and media access to exclusive player and ball tracking data without the usual restrictions.

Their fully automated system allows users to access dynamic and contextualised insights that can power a club’s recruitment process or deliver unique new insights to fans. Their Live Match Visualisation is an impressive alternative to live match streaming, with turnkey animation and immediate integration ensuring broadcasts are experienced to their full capacity.

SkillCorner’s recent growth has seen partnerships unfold that will further enhance the options available to football fans and the football industry.

A recently announced partnership with Twenty3 – creator of AI sports data tool Twenty3 Toolbox – will see physical data collected by SkillCorner added to the Toolbox. Twenty3 recently revealed a new partnership with MLS club Sporting Kansas City, giving the club access to Twenty3’s set of AI tools which now include SkillCorner player tracking.

SkillCorner are illustrative of the changing of the guard in the approach to data analytics. Whilst football has embraced data collection as a necessary facet of player, coaching and overall team improvement over time, SkillCorner have established an alternative forward-thinking method that is adaptable to its multitude of user types.

Dribl announced as Global Football Technology Partner of CONIFA

Dribl

Dribl, an Australian-based leading provider of football technology solutions, has announced its partnership with CONIFA, the Confederation of Independent Football Associations.

This strategic alliance marks a significant step forward for Dribl, helping CONIFA streamline operations for their global football competitions, promoting efficiency and providing a dynamic platform for community and fan engagement.

Supporting a true grassroots and international partnership

CONIFA, renowned for its dedication to the joy of playing international football, supports representatives of football teams from nations, de-facto nations, regions, minority peoples, and sports isolated territories. This global acting non-profit organisation is committed to enhancing global relations and fostering international understanding through football.

Enhancing the Football Experience for All Dribl’s cutting-edge technology will enable CONIFA to streamline the administration of its global competitions, ensuring efficient and effective management. The partnership will introduce a centralised system that simplifies operations, facilitates better fan engagement through the Dribl app, and ultimately enhances the overall football experience for all participants and fans.

A platform for everyone, everywhere

Dribl CEO Rob Georgievski spoke to the grassroots impact:

“By partnering with CONIFA, we are taking a forward step in truly supporting grassroots football,” he said via media release.

“Our technology is designed to be accessible to everyone, everywhere, ensuring that the joy of football can be shared by all. We are excited to help CONIFA grow and reach more people, providing a seamless and engaging experience for football communities worldwide.”

Commitment to high ethical standards and global unity

CONIFA stands out as the world’s leading organisation for people, nations, and sportingly isolated regions with a commitment to high ethical standards and global unity. This partnership with Dribl aligns perfectly with CONIFA’s mission to contribute to the enhancement of global relations and international understanding through the universal language of football.

Introducing the CONIFA Match Centre

In collaboration with Dribl, CONIFA have introduced their very own Match Centre for the upcoming CONIFA Women World Football Cup 2024 Tournament. This innovative feature will provide fans and participants with real-time updates, comprehensive data, and an engaging user experience, further enriching the connection between the sport and its global audience.

For more information, please visit:

Dribl: https://dribl.com/
CONIFA: https://www.conifa.org/en/

Sevilla FC: Transforming player scouting with IBM’s generative AI

In 2021, Sevilla FC, a premier team from Andalusia, Spain, faced an overwhelming amount of paperwork.

With a top-tier scouting team of 20 to 25 scouts, each player could generate up to 40 scout reports, necessitating 200 to 300 hours of review. Altogether, Sevilla FC had to manage over 200,000 reports on potential players, a task that demanded an enormous amount of time.

Earlier in the year, Sevilla’s fortunes started to change for the better in terms of time management.

They had introduced a collaboration with the International Business Machines Corporation (IBM) having confirmed Scout Advisor, a cutting-edge AI tool that will equip the club’s scouting team with extensive data for identifying and evaluating potential player signings.

Developed using IBM’s watsonx, which is an AI and data platform for businesses, the club introduced the Scout Advisor concept to integrate it into its existing suite of in-house data-generative tools.

IBM is a top provider of global hybrid cloud, AI solutions, and consulting services. They assist clients in over 175 countries in leveraging data insights, optimising business processes, reducing costs, and gaining a competitive advantage in their industries.

Over 4,000 government and corporate entities in vital sectors like financial services, telecommunications, and healthcare depend on IBM’s hybrid cloud platform and Red Hat OpenShift for rapid, efficient, and secure digital transformations.

IBM’s ground-breaking advancements in AI, quantum computing, industry-specific cloud solutions, and consulting provides their clients with open and flexible options.

Sevilla FC’s data department collaborated with the IBM Client Engineering Team to develop Scout Advisor, utilising watsonx’s natural language processing (NLP) and foundation models to search and analyse extensive information in the club’s databases for evaluating potential recruits. This encompasses quantitative data such as height, weight, speed, goals scored, and minutes played, as well as qualitative data such as a player’s attitude and alignment with the team philosophy from over 200,000 scouting reports.

During the period in 2021, Sevilla FC could quickly access and utilise quantitative player data within seconds, but retrieving qualitative information from the database was significantly slower in contrast.

The solution’s natural language processing capabilities allow the club to utilise multiple large language models (LLMs) to enhance the accuracy and efficiency of player identification. By interpreting scouts’ descriptions of key player characteristics, Scout Advisor creates a curated lists of candidates matching the desired traits and summarises comprehensive reports for each player. Additionally, Scout Advisor connects each player to the existing database to provide detailed quantitative performance data.

Player recruitment has traditionally relied on a mix of subjective human observation and data analysis. However, these methods are limited by the time they require and the few factors they consider. IBM’s Scout Advisor now gives the club a competitive edge by merging these existing indicators with generative AI, bridging the gap between data-driven scouting and hard to measure human behaviours.

This advancement will enhance Sevilla’s talent identification and support the decision-making processes.

The club’s scouting team is well-known for its data-driven approach to recruiting emerging talent. Furthermore, the club is at the forefront of developing innovative methods to use detailed information, allowing for a more holistic evaluation of every player they scout.

Watsonx processes this data and presents it in understandable terms, identifying potential signings using key qualitative indicators and expert scouting insights.

The club intends to use Scout Advisor during the summer in the recruiting season and expects to see results by September, with feedback having been positive so far.

With the time saved, scouts can now focus on human-centric tasks such as engaging with recruits, observing games, and making data-supported decisions.

One thing is certain is that the ability to make better-informed decisions about who to play, when to play them, and why has fundamentally transformed the recruitment process at Sevilla FC. This refined approach has not only enhanced the club’s ability to identify and secure top talent but has also provided a strategic edge in their overall team management and performance planning.

Recently, Melbourne Knights FC had agreed a new collaboration with leading football management software company, ProTrainUp. It would benefit local clubs, in terms of time management, to follow suit and by doing this they can focus their attention elsewhere.

Investing in AI is not a walk in the park as it does require large amount of funds, however A-League sides in both the men’s and women’s should also be taking an approach into implementing technology whether it’s for player scouting or the way footballers train, for a task that demands a vast amount of time that could easily be executed by AI as it eases the workload on team management and club operations.

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