Forecasting extremes of football players' performance in matches

This repository contains material auxiliary to paper titled "Forecasting extremes of football players' performance in matches", divided into the following parts.

A. Athlete performance parameters, as generated from the Apex Pro Series, STATSports, Premium System6072023, Sonra 4.0

"Appendix A.pdf"

B. Sample datasets used in modeling

"Appendix B.xlsx" - an athelete's performance log as produced by STATSports system

match-day-gps.csv - an athlete's GPS trace on a match day (MD)

md-5-training-gps.csv - the athlete's GPS trace on a training session 5 days before MD

C. Sample models and modeling results

Z_cnt.py - sample pre-processed and aggregated GPS data, used further in modeling

zenodo_gps_demo.py - a scipt examining a range of time vs. speed definitions of an interval that correlate training and match performace best

zenodo_apx_demo.py - a script generating sample models from APX-Data