TY - JOUR AU - Schuth, Gábor AU - Szigeti, Gyorgy AU - Dobreff, Gergely AU - Pašić, Alija AU - Gabbett, Tim AU - Szilas, Adam AU - Pavlik, Gábor TI - Football Movement Profile-Based Creatine-Kinase Prediction Performs Similarly to Global Positioning System-Derived Machine Learning Models in National-Team Soccer Players JF - INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE J2 - INT J SPORT PHYSIOL VL - 19 PY - 2024 IS - 9 SP - 874 EP - 881 PG - 8 SN - 1555-0265 DO - 10.1123/ijspp.2024-0077 UR - https://m2.mtmt.hu/api/publication/35085877 ID - 35085877 N1 - Funding Agency and Grant Number: Hungarian Football Federation Funding text: The authors would like to thank the youth national-team soccer players and their coaches for taking part in the study. Special thanks to the Hungarian Football Federation for supporting this study. AB - Purpose : The relationship between external load and creatine-kinase (CK) response at the team/position or individual level using Global Positioning Systems (GPS) has been studied. This study aimed to compare GPS-derived and Football Movement Pro fi le (FMP) - derived CK-prediction models for national-team soccer players. The second aim was to compare the performance of general and individualized CK prediction models. Methods : Four hundred forty-four national-team soccer players (under 15 [U15] to senior) were monitored during training sessions and matches using GPS. CK was measured every morning from whole blood. The players had 19.3 (18.1) individual GPS-CK pairs, resulting in a total of 8570 data points. Machine learning models were built using (1) GPS-derived or (2) FMP-based parameters or (3) the combination of the 2 to predict the following days ' CK value. The performance of general and individual-speci fi c prediction models was compared. The performance of the models was described by R 2 and the root-mean-square error (RMSE, in units per liter for CK values). Results : The FMP model ( R 2 = .60, RMSE = 144.6 U/L) performed similarly to the GPS-based model ( R 2 = .62, RMSE = 141.2 U/L) and the combination of the 2 ( R 2 = .62, RMSE = 140.3 U/L). The prediction power of the general model was better on average ( R 2 = .57 vs R 2 = .37) and for 73% of the players than the individualized model. Conclusions : The results suggest that FMP-based CK-prediction models perform similarly to those based on GPS-derived metrics. General machine learning models ' prediction power was higher than those of the individual-speci fi c models. These fi ndings can be used to monitor postmatch recovery strategies and to optimize weekly training periodization. LA - English DB - MTMT ER - TY - JOUR AU - Szigeti, György AU - Schuth, Gábor AU - Kovács, Tamás AU - Sipos, Tamás AU - Szilas, Ádám AU - Pavlik, Gábor TI - A testösszetétel mérési eredményeinek korosztályos összehasonlítása válogatott férfi labdarúgók esetében JF - MAGYAR SPORTTUDOMÁNYI SZEMLE J2 - M SPORTTUD SZLE VL - 24 PY - 2023 IS - 5 (105) SP - 36 EP - 37 PG - 2 SN - 1586-5428 UR - https://m2.mtmt.hu/api/publication/34497608 ID - 34497608 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Szigeti, György AU - Schuth, Gábor AU - Kovács, Tamás AU - Revisnyei, Péter AU - Pašić, Alija AU - Szilas, Ádám AU - Gabbett, Tim AU - Pavlik, Gábor TI - Football movement profile analysis and creatine kinase relationships in youth national team players JF - PHYSIOLOGY INTERNATIONAL J2 - PHYSIOL INT VL - 110 PY - 2023 IS - 1 SP - 74 EP - 86 PG - 13 SN - 2498-602X DO - 10.1556/2060.2023.00160 UR - https://m2.mtmt.hu/api/publication/33630596 ID - 33630596 N1 - Online Publication Date: 24 Jan 2023 Publication Date: 24 Jan 2023 LA - English DB - MTMT ER - TY - JOUR AU - Schuth, Gábor AU - Szigeti, Gyorgy AU - Dobreff, Gergely AU - Pašić, Alija AU - Gabbett, Tim AU - Szilas, Adam AU - Pavlik, Gábor TI - Individual-Specific Relationship Between External Training and Match Load and Creatine-Kinase Response in Youth National Team Soccer Players JF - SPORTS HEALTH J2 - SPORTS HEALTH VL - 15 PY - 2023 IS - 5 SP - 700 EP - 709 PG - 10 SN - 1941-7381 DO - 10.1177/19417381221128822 UR - https://m2.mtmt.hu/api/publication/33226273 ID - 33226273 N1 - Funding Agency and Grant Number: Hungarian Football Federation Funding text: The authors thank the youth national team soccer players and their coaches who took part in the study. Special thanks to the Hungarian Football Federation for support of this study. AB - Previous studies have examined the relationship between external load and creatine-kinase (CK) response at the team level. This study aimed to build individualized CK prediction models for elite youth national team soccer players.The CK response of youth soccer players can be categorized as being sensitive to micromovements (MM), high-velocity (HV) parameters, or the combination of both, measured during training sessions and matches.Prospective cohort study.Level 4.A total of 25 U16-U17 youth national team soccer players were monitored during training sessions and matches using global positioning system (GPS) units. Individual CK values were measured every morning from whole blood. The data set consisted of 57 ± 17 individual datapoints per player. Individual prediction models were used to examine the relationship between external load and consecutive CK changes. Numerous models were built for each player using MM, HV parameters, or the combination of both. The performance of the models was described by the R2 and the root mean square error (RMSE, U/l for CK values).The MM models were superior for 8 players (R2 = 0.68; RMSE = 113 U/l), followed by HV (8 players; R2 = 0.69; RMSE = 88 U/l) and the combined models (2 players; R2 = 0.64; RMSE = 141 U/l). For the remaining 7 players, the R2 of the models was <0.5. The recovery time between efforts was more important in the HV model.Players could be categorized on sensitivity to MM, HV movements, or the combination of both.These findings can be used to individualize postmatch recovery strategies and to optimize weekly training periodization to maximize match performance. LA - English DB - MTMT ER - TY - JOUR AU - Szigeti, György AU - Schuth, Gábor AU - Dobreff, Gergely AU - Pašić, Alija AU - Sipos, Tamás AU - Szilas, Ádám AU - Pavlik, Gábor TI - Felugrási tesztek eredményeinek korosztályos összehasonlítása utánpótláskorú válogatott labdarúgóknál JF - MAGYAR SPORTTUDOMÁNYI SZEMLE J2 - M SPORTTUD SZLE VL - 23 PY - 2022 IS - 5 (99) SP - 41 EP - 41 PG - 1 SN - 1586-5428 UR - https://m2.mtmt.hu/api/publication/33548077 ID - 33548077 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Schuth, Gábor AU - Szigeti, György AU - Dobreff, Gergely AU - Pašić, Alija AU - Szilas, Ádám AU - Kovács, Tamás AU - Pavlik, Gábor TI - Individuális kapcsolat a külső edzés- és mérkőzés-terhelés, valamint a kreatinkináz válasz között utánpótláskorú válogatott labdarúgóknál JF - MAGYAR SPORTTUDOMÁNYI SZEMLE J2 - M SPORTTUD SZLE VL - 23 PY - 2022 IS - 5 (99) SP - 36 EP - 37 PG - 2 SN - 1586-5428 UR - https://m2.mtmt.hu/api/publication/33548046 ID - 33548046 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Szigeti, György AU - Schuth, Gábor AU - Kovács, Tamás AU - Szilas, Ádám AU - Pavlik, Gábor TI - Laborkészülékek kreatin-kináz mérési eredményeinek összehasonlítása válogatott labdarúgók esetében. Creatine kinase measurement comparison of two laboratory analysers in national team soccer players TS - Creatine kinase measurement comparison of two laboratory analysers in national team soccer players JF - MAGYAR SPORTTUDOMÁNYI SZEMLE J2 - M SPORTTUD SZLE VL - 23 PY - 2022 IS - 4 (98) SP - 48 EP - 53 PG - 6 SN - 1586-5428 UR - https://m2.mtmt.hu/api/publication/33192653 ID - 33192653 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Szigeti, Gyorgy AU - Schuth, Gábor AU - Revisnyei, Péter AU - Pašić, Alija AU - Szilas, Adam AU - Gabbett, Tim AU - Pavlik, Gábor TI - Quantification of Training Load Relative to Match Load of Youth National Team Soccer Players JF - SPORTS HEALTH J2 - SPORTS HEALTH VL - 14 PY - 2022 IS - 1 SP - 84 EP - 91 PG - 8 SN - 1941-7381 DO - 10.1177/19417381211004902 UR - https://m2.mtmt.hu/api/publication/32080836 ID - 32080836 LA - English DB - MTMT ER - TY - GEN AU - Gyorgy, Szigeti AU - Schuth, Gábor AU - Tamas, Kovacs AU - Pavlik, Gábor AU - Chris, Barnes TI - The Football Movement Profile of Youth National Team Players PY - 2021 UR - https://m2.mtmt.hu/api/publication/35156100 ID - 35156100 LA - English DB - MTMT ER - TY - JOUR AU - Szigeti, György AU - Schuth, Gábor AU - Kovács, Tamás AU - Szilas, Ádám AU - Pavlik, Gábor TI - A mérkőzés terhelés leírása és pozíciók közötti összehasonlítása a labdarúgás mozgásprofil algoritmus alkalmazásával utánpótláskorú válogatott labdarúgóknál JF - MAGYAR SPORTTUDOMÁNYI SZEMLE J2 - M SPORTTUD SZLE VL - 22 PY - 2021 IS - 5 (93) SP - 31 EP - 31 PG - 1 SN - 1586-5428 UR - https://m2.mtmt.hu/api/publication/32547197 ID - 32547197 LA - Hungarian DB - MTMT ER -