{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T21:09:48Z","timestamp":1786741788701,"version":"3.56.0"},"reference-count":22,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2022,12,14]],"date-time":"2022-12-14T00:00:00Z","timestamp":1670976000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Horizon 2020 project EuroCC 951732 National Competence Centres in the Framework of EuroHPC and by the University of Rijeka","award":["uniri-tehnic-18-15"],"award-info":[{"award-number":["uniri-tehnic-18-15"]}]},{"name":"the Horizon 2020 project EuroCC 951732 National Competence Centres in the Framework of EuroHPC and by the University of Rijeka","award":["871042"],"award-info":[{"award-number":["871042"]}]},{"name":"the European Community\u2019s H2020 Program","award":["uniri-tehnic-18-15"],"award-info":[{"award-number":["uniri-tehnic-18-15"]}]},{"name":"the European Community\u2019s H2020 Program","award":["871042"],"award-info":[{"award-number":["871042"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Every soccer game influences each player\u2019s performance differently. Many studies have tried to explain the influence of different parameters on the game; however, none went deeper into the core and examined it minute-by-minute. The goal of this study is to use data derived from GPS wearable devices to present a new framework for performance analysis. A player\u2019s energy expenditure is analyzed using data analytics and K-means clustering of low-, middle-, and high-intensity periods distributed in 1 min segments. Our framework exhibits a higher explanatory power compared to usual game metrics (e.g., high-speed running and sprinting), explaining 45.91% of the coefficient of variation vs. 21.32% for high-, 30.66% vs. 16.82% for middle-, and 24.41% vs. 19.12% for low-intensity periods. The proposed methods enable deeper game analysis, which can help strength and conditioning coaches and managers in gaining better insights into the players\u2019 responses to various game situations.<\/jats:p>","DOI":"10.3390\/s22249842","type":"journal-article","created":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T03:43:49Z","timestamp":1671075829000},"page":"9842","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Extended Energy-Expenditure Model in Soccer: Evaluating Player Performance in the Context of the Game"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7164-1994","authenticated-orcid":false,"given":"Arian","family":"Skoki","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6400-5914","authenticated-orcid":false,"given":"Alessio","family":"Rossi","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy"},{"name":"Institute of Information Science and Technologies (ISTI), National Research Council of Italy (CNR), Giuseppe Moruzzi 1, 56124 Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8085-9338","authenticated-orcid":false,"given":"Paolo","family":"Cintia","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1547-6007","authenticated-orcid":false,"given":"Luca","family":"Pappalardo","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Pisa, Largo B. 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