Unlocking the true potential of your football club

Bayes Technology transforms information into result

Bayes Technology is a set of innovative football analytics systems based on artificial intelligence, comprising a number of tools to improve the effectiveness of your football club

Data collection via integration with your club's systems

Comprehensive analysis of your club's key processes

AI-driven recommendations tailored to your needs

Intuitive visualisation of the data analysis results

No need to blindly rely on intuition anymore
With Bayes Technology you make key decisions based on objective data

Bayes Technology transforms information
into result

Bayes Technology as a cutting-edge solution for the football industry

Being a digital company, innovation is in our DNA, hence why Bayes Technology embraces the technological developments of Industry 4.0

Big Data is a combination of large volumes of structured and unstructured data gathered from various sources

Big Data

Our analytics algorithms are powered by artificial intelligence, which has allowed us to introduce unique functionality previously unused in the wider industry such as Player Form Forecast, to improve your results on the pitch and beyond

Artificial Intelligence

Through the integration with the club's databases, Bayes Technology analyses the collected data, such as physiological and in-game statistics, transforming siloed information into a data-driven decision

Through a detailed data analysis, our systems leverage the obtained information to forecast your club's performance and optimise its functioning

Bayes Technology adapts to the needs of your club

Under the umbrella of Bayes Technology, we have developed two complementary platforms, Bayes Coach and Bayes Scout, that include a wide range of analytical instruments for the development of your football club: from optimising the training process to scouting prospective players

In-depth analysis of club's data using machine learning and neural networks for objective and well-thought-out decisions of the coaching staff

Player Form Forecast

Correcting line-up based on the players' Form index

Projecting injury risk

Constructing in-game interaction using neural network

Determining players' teamwork level

Varying the squad list and team formations

Grouping players based on their abilities and playing style

Identifying the primary strengths of each player

Adjusting player in-game position

Team Cluster Analysis

Forecasting player performance through predictive analytics

Passing Network Analysis

Individual recommendations for the club's scouting staff, independent scouting agencies, and football agents based on cluster analysis and artificial intelligence

Player clustering based on player performance and in-game statistics

Comprehensive player profiles, detailing key aspects of their game

Advanced players search using custom parameters

Automated data collection on all players

Player evaluation using over 500 metrics

Player comparison based on user criteria