Forecasting extremes of football players' performance in matches

<p>This repository contains material auxiliary to paper titled "Forecasting extremes of football players' performance in matches", divided into the following parts.</p> <p>A. Athlete performance parameters, as generated from the Apex Pro Series, STATSports, Premium System607<br>2023, Sonra 4.0</p> <ul> <li>"Appendix A.pdf"</li> </ul> <p>B. Sample datasets used in modeling</p> <ul> <li>"Appendix B.xlsx" - an athelete's performance log as produced by STATSports system</li> <li>match-day-gps.csv - an athlete's GPS trace on a match day (MD)</li> <li>md-5-training-gps.csv - the athlete's GPS trace on a training session 5 days before MD</li> </ul> <p>C. Sample models and modeling results</p> <ul> <li>Z_cnt.py - sample pre-processed and aggregated GPS data, used further in modeling</li> <li>zenodo_gps_demo.py - a scipt examining a range of time vs. speed definitions of an interval that correlate training and match performace best</li> <li>zenodo_apx_demo.py - a script generating sample models from APX-Data</li> </ul>