Statistics Overview

KoraStats provides a comprehensive set of football analytics metrics derived from detailed event data captured during matches. These statistics cover every phase of the game including:
  • Passing and ball distribution
  • Attacking and finishing
  • Defensive actions
  • Goalkeeping performance
  • Possession control
  • Advanced analytical models such as Expected Goals (xG) and Expected Threat (xT)
All metrics are generated using event-based match data, ensuring accurate tactical and performance insights for players, teams, analysts, and scouts.

Statistical Categories

The KoraStats platform organizes statistics into several logical categories.

How Statistics Are Generated

KoraStats statistics are generated using a detailed event-based data model. Each match event includes:
  • Timestamp (minute, second, millisecond)
  • Player and team identifiers
  • Event category and result
  • Pitch location coordinates
  • Linked event references
This allows the platform to compute advanced performance metrics and tactical insights.

Spatial Data & Pitch Coordinates

Many statistics depend on the location of events on the football pitch. You can find more details about it in Field Dimension Section documentation.

Advanced Models

KoraStats includes several advanced football analytics models.

Expected Goals (xG)

Expected Goals estimates the probability of a shot resulting in a goal based on factors such as:
  • Shot distance
  • Shot angle
  • Body part used
  • Defensive pressure
You can find more details about it in Expected Goals Section documentation. For the model itself you can check out xG Model Documentation.

Expected Threat (xT)

Expected Threat measures the increase in scoring probability as the ball moves into more dangerous areas of the pitch. You can find more details about it in Expected Goals Section documentation.

Using These Statistics

These metrics are used for multiple purposes including:
  • Player performance analysis
  • Tactical evaluation
  • Scouting and recruitment
  • Broadcast graphics and media analysis
  • Data-driven coaching insights

Next Steps

Explore each statistical category to learn more about how individual metrics are defined.