Our Methodology

Data Standardisation:
The "Per 90" Principle

One of the biggest challenges in football analytics is comparability. Players operate under vastly different conditions — minutes played, team roles, match tempo, and tactical systems all influence raw statistics. To address this, every metric on our platform is standardised on a per 90 minutes basis.

This approach ensures that all players are evaluated on equal footing. Whether a player has featured in 300 minutes or 3,000, their output is normalised to reflect what they would produce over a full match. The result is a fair, consistent framework that allows for accurate comparison across leagues, teams, and positions.

Expected Goals (xG):
Measuring Chance Quality

Expected Goals is one of the cornerstones of modern football analysis. Our xG model evaluates every shot based on a wide range of contextual factors. Each shot is assigned a probability value representing the likelihood of it resulting in a goal — aggregated to reveal how dangerous those chances truly were.

Expected Assists (xA):
The Value of Creation

While goals often define outcomes, creation is equally critical. Expected Assists measures the quality of chances a player creates for teammates. Instead of focusing on whether a pass became a goal, xA evaluates whether it should have.

By linking pass data to the xG value of the resulting shot, we quantify a player's creative contribution independently of finishing. This allows us to highlight players who consistently generate high-quality opportunities, even if those chances are not always converted.

Heatmaps:
Spatial Intelligence

Understanding where a player operates is just as important as understanding what they do. Our heatmaps are generated using detailed positional event data, mapping every on-ball action across the pitch. We apply density estimation techniques to visualise movement and involvement zones.

These visualisations uncover patterns that traditional statistics miss — such as inverted full-backs drifting into midfield, or forwards dropping deep to facilitate build-up play.

Beyond the Basics:
Advanced Indicators

In addition to xG and xA, our platform incorporates a wide range of advanced indicators. Each metric is carefully defined and contextually framed to ensure it reflects real on-pitch impact rather than isolated events.

Continuous Learning
& Model Development

Our analytical framework is not static. It evolves alongside the game itself. We have built our methodology on knowledge acquired through specialised courses and certifications from leading institutions in the field of football analytics — providing a rigorous foundation in data modelling, tactical interpretation, and applied statistics.

However, we see this as just the beginning. We are actively expanding our expertise, refining our models, and integrating new data sources to improve accuracy and depth. Our goal is to remain at the forefront of football analytics — delivering insights that are not only precise, but also meaningful.