Class VideoAnalysisMetrics

java.lang.Object

org.episteme.social.sports.VideoAnalysisMetrics

public final class VideoAnalysisMetrics
extends Object

Extracts performance metrics from video-derived tracking data. Includes models for Expected Goals (xG) and shot analysis.

Since:

1.0

Version:

1.1

Author:

Silvere Martin-Michiellot, Gemini AI (Google DeepMind)

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static final record	VideoAnalysisMetrics.Shot	Detailed data for a specific scoring attempt.

Method Summary

Modifier and Type	Method	Description
static Real	calculateXG(VideoAnalysisMetrics.Shot shot)	Calculates the Expected Goals (xG) probability for a shot.

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

calculateXG

public static Real calculateXG(VideoAnalysisMetrics.Shot shot)

Calculates the Expected Goals (xG) probability for a shot. Uses distance and angle components derived from field coordinates.

Parameters:

shot - the shot to analyze

Returns:

the xG value (probability 0.0 to 1.0)