Overall indexes of players` match physical performance are total distance (TD) and high speed running distances (HSR; speed>19 km/h) covered during a match (1,2). An important factor that affects match running performance of elite soccer players is their aerobic fitness level, with v-VO2max being correlated with TD and HSR in top level professional soccer players (3). Contextual factors, such as playing position, match location, match result, goal difference and opposition level are additional variables that influence the match running performance of elite soccer players (4,5). As such, it would be advantageous to develop a predictive model examining the independent influence of a match performance variable such asTD and HSR, while accounting for all other variables as fitness and contextual factors using a multiple regression analysis
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