ATHLEMETRICS MACHINE LEARNING DATA

Analysis and predict football player performance metrics using machine learning models.

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Why Do We Need Machine Learning Data?

  1. Enhance decision-making with predictive insights into player growth and performance.
  2. Gain a competitive edge over traditional scouting through objective, data-driven analysis.
  3. Optimize scouting, transfers, and performance evaluation with smarter, targeted insights.

Quick Access Flatform

Player Performance Prediction

We offer machine learning-driven predictions of individual player metrics, including contribution scores per 90 minutes, goalkeeping performance, duel effectiveness, passing and playmaking abilities.

Dynamic Skill Evolution

Our models track player performance trends over time, helping you predict future growth, peak seasons, or potential declines with data-driven accuracy.

Comparative Analytics

Compare players across leagues and seasons with normalized data, providing a deeper understanding of a player’s true performance level relative to peers.

Customizable Data Packages

We offer flexible datasets tailored to your needs — whether scouting, team optimization, or fantasy sports — with options for detailed player reports and visual insights.

Squad Compatibility Dashboard

See a “chemistry score” for any lineup based on positional coverage, playing styles, and historical synergy. Filter by formations to identify the highest-compatibility 11 for a given tactic. Drill down to see which player pairings or sub-units (e.g. midfield trio, back four) drive or detract from overall balanc

Tactical Scenario Simulator

Choose up to three alternative lineups and simulate expected possession, xG/xA, and defensive solidity under various opponent Adjust in-game variables (e.g. press intensity, width, midfield density) to see how score probabilities shift. Export pre-match PDF reports with side-by-side simulation results and recommended tactical tweaks.

Happy Clients,
Great Reviews

Learn about Athlemetrics from other users and start exploring sport data in your surroundings

4.5/5

Using machine learning predictions has completely transformed our scouting process. We can now identify promising young players before they appear on the radar of major clubs. It gives us a huge competitive advantage.

Naomi Matz, Botanist
5/5

The data-driven insights allow us to make smarter transfer decisions. Instead of relying solely on intuition, we now have objective metrics that predict a player’s future performance. It’s an invaluable tool for building a winning team.

Marvin Conte, Plants lover
4.5/5

As a fan, having access to machine learning-based player forecasts makes following football even more exciting. It’s fascinating to track players’ projected development and see how their careers unfold.

Taylor Howard, Teacher