
Counter-Strike Player Performance Prediction
For my final-year dissertation, I built a leakage-aware machine-learning pipeline to test whether historical HLTV statistics could predict a professional player's performance on an upcoming map. The selected ensemble reached 0.630 ROC-AUC on a chronological test period, indicating limited above-baseline ranking signal.
Sole researcher and developer



