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Degree project report / 2026

Counter-Strike Player Performance Prediction

This report examines whether historical HLTV statistics can predict a professional player's performance on an upcoming Counter-Strike map. It documents the data pipeline, leakage controls, model comparisons, and the limits of the final result.

Selected pages

A quick route through the research

The cover introduces the research question, the abstract summarises the dataset and findings, and the methodology page shows how raw public data became a chronological evaluation pipeline. Open the full report for the complete analysis, results, and limitations.

Cover of Gabriel Dorosh's degree project report
CoverPage 1
Abstract page from Gabriel Dorosh's degree project report
AbstractPage 3
Methodology page showing the predictive-analysis research pipeline
Methodology and pipelinePage 19