Data analysis in football - 2026

Turn football data into clear performance insights. Learn how to collect, analyze, and visualize football performance data using proven analytical methods, modern KPIs, and professional tools – all within a flexible, fully digital learning experience. Requirements: This course is open to all interested coaches and practitioners, regardless of their current level or background, and can be used for coaching license renewal in accordance with the applicable regulations of the Lithuanian Football Federation.

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Portrait of a man with short brown hair wearing a white shirt, brown sweater, and dark blazer with arms crossed.

Well-trained coaches who train good footballers. It is very important for me to use innovative methods so that we can set new standards for the smooth training of Lithuanian football coaches.

Deividas Šemberas

Lithuanian Football Federation

All you need to know about the Data analysis in football course

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Target group

This course is designed for coaches and practitioners at all levels who want to further develop their skills in modern football. It is also ideal for coaches seeking to use the course as part of their coaching license renewal in line with the regulations of the Lithuanian Football Federation.

Continuous Professional Development (CPD)

The Lithuanian Football Federation will support the ongoing development of our coaches through our CPD programme. This CPD will enable all coaches at UEFA Licence level of the Coach Education Pathway to ensure the validity of their UEFA coaching licence is maintained.

Requirements

This course is open to all interested coaches and practitioners, regardless of their current level or background, and can be used for coaching license renewal in accordance with the applicable regulations of the Lithuanian Football Federation.

Course starts

Possible starts in April / June / August / October / December

Course duration

4 weeks

Course schedule

Price

150€

Content & Benefits

Methods of analysis

Qualitative analysis
Systematic observation
Quantitative Analysis
Football Analytics

Performance data collection & types

Event data
Position / Tracking Data
Optical Tracking Systems
Local Positioning Measurement

Data-based Key Performance Indicators

Methodology for transferring practical issues into mathematical models
Examples of common metrics: "Expected Goals", "Adjusted Goals", "Space Control", "Packing" – overplayed counterparts

Software Tools & Platforms