title: Is repeated-sprint ability of soccer players predictable from field-based or laboratory physiological tests?
abstract: OBJECTIVE
  The aim of this study was to investigate multiple regression models with prediction equations that would enable a valid estimate of running repeated-sprint ability (RSA) in soccer players from the variables measured in field and laboratory physiological tests.
  
  
  METHODS
  Adolescent soccer players (N=33) performed five field performance tests and two laboratory tests for assessment of muscle strength of legs, sprint ability, anaerobic power and capacity, aerobic power and capacity, and running economy. These tests served as potential predictors of RSA. RSA was assessed by a intermittent anaerobic running test (IAnRT) consisted of ten 20 m sprints.
  
  
  RESULTS
  Multiple regression analysis revealed that the mean speed in the 20 m sprint test and the 2 km endurance running test accounted for 89% of total variation in the mean running speed in the IAnRT (VIAnRT) as the indicator of capacity for multiple sprint work (R2=0.89, SEM=0.09 m.s-1). Using the variables from the laboratory tests, the best prediction of the VIAnRT was obtained from the running speed at the ventilatory threshold level (VVT) and anaerobic power (Pmax.kg-1) (R2=0.49, SEM=0.21 m.s-1).
  
  
  CONCLUSIONS
  Performance in the multiple-sprint exercise as an indicator of RSA can be estimated by the regression equation with two predictors - mean speed in the 20 m sprint and 2 km running test with an error of 4%.
authors.affiliation: Faculty of Physical Education and Sport, Charles University, Prague, Czech Republic. psotta@ftvs.cuni.cz
authors.forename: R
authors.initials: R
authors.lastname: Psotta
authors.forename: V
authors.initials: V
authors.lastname: Bunc
authors.forename: J
authors.initials: J
authors.lastname: Hendl
authors.forename: D
authors.initials: D
authors.lastname: Tenney
authors.forename: J
authors.initials: J
authors.lastname: Heller
mesh_terms: D000293:Adolescent; D005080:Exercise Test / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D011237:Predictive Value of Tests; D012420:Running / Q000502:physiology*; D012916:Soccer / Q000502:physiology