Three indices of performance were calculated: 1) time necessary to complete the 16 passes (LSPT time: LSPT T); 2) penalties calculated from the errors committed by each player during the test execution (LSPT penalties: LSPT P); and 3) total performance (LSPT total performance: LSPT TP) consisting of the time necessary to complete the test after adjusting for penalties and/or bonus time.
Pearson product-moment correlations were used to examine the relationship between LSPT and anthropometric and physiological variables.
A forward stepwise multiple linear regression analysis was performed with LSPT TP as the dependant variable.
A mean of the LSPT performance scores for all participants is presented in Table 1.
Significant positive correlations were found between LSPT T and body mass (large), %BF (moderate) and Ball-15m (large).
LSPT P was positively correlated (moderate to large) with body mass, % BF, Ball-15m, Illinois agility tests and 5m, 20m, and 30m sprint times.
Table 2 shows a large positive correlation between LSPT TP and body mass and %BF.
Table 3 shows that according to multiple stepwise regression models the predictors of LSPT TP were times measured during Agility-15m, Illinois agility test and Ball-15m.
Short-passing accuracy, as measured by the LSPT is able to distinguish elite players from their counterparts by analysing various aspects of soccer-skill performance (gross motor performance with the time only score and accuracy using penalty time).
Due to the few studies that have used the LSPT in young players, it is difficult to compare our findings.
Nevertheless, results of LSPT TP in our study were higher than those of Ali et al , implying that the players of the present study possibly had lower technical level.
A previous study  showed that the deterioration in LSPT score, observed after a 5min high-intensity simulation, was correlated to the players' physical fitness, as measured by the Yo-Yo IRT level-1 test.