On Predicting Soccer Outcomes in the Greek League Using Machine Learning by Marios-Christos Malamatinos, Eleni Vrochidou, George A. Papakostas

“…In this work, soccer outcome prediction methods are evaluated, focusing on the Greek Super League. Data analysis, including data cleaning, Sequential Forward Selection (SFS), feature engineering methods and data augmentation is conducted. …”
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Two or Four Weeks Acute: Chronic Workload Ratio Is More Useful to Prevent Injuries in Soccer? by Andreas Fousekis, Konstantinos Fousekis, Georgios Fousekis, Nikolaos Vaitsis, Ioannis Terzidis, Kosmas Christoulas, Yiannis Michailidis, Athanasios Mandroukas, Thomas Metaxas

“…Physical characteristics were recorded and analyzed through global positioning systems (GPS) evaluation over one season of 24 competitive microcycles, 144 training sessions, and 32 matches in a total of 35 professional soccer players from the Greek Super League 1 and Super League 2. The loads calculated were total distance (TD), 15–20 km/h, 20–25 km/h, 25–30 km/h, accelerations (ACC) > 2.5 m/s², and decelerations (DEC) > 2.5 m/s²). …”
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