The aim of this study was to assess elite women's basketball game performance. Five elite women's games (3 Italian first division and 2 Euroleague) were analyzed for individual and team time-motion analyses. The individual analysis evaluated the players' movement patterns with particular focus on high-intensity activity (HIA), sprint activity, and repeated sprint events (RSEs). Team analysis included live time (LT), stoppage time (ST), and their ratio, transfer (TR) phases, and half court and full court actions. The frequency of occurrence of changes of activities was n = 576 ± 110, one every 2.56 seconds of LT. Total HIA was 8.5 ± 1.8% of LT and no significant differences between quarter periods were observed. In general, players performed linear sprints (48.3 ± 2.9%) over 1-5 m distance (56.8 ± 5.6%). The occurrence of RSE was 4.4 ± 1.7, with 58.6 ± 18.5% passive recovery between sprints. Team analysis showed no significant difference between games for LT and ST phases (ratio = 1.18 ± 0.25). For game analysis, LT and ST were 43.4 ± 7.8% and 51.1 ± 8.4%, respectively. A difference between games was found for half court actions (p < 0.01) and TR phases (p ≤ 0.05). Moreover, 1 TR and 2 TR were the most performed (45.3 and 23.9%) actions. These results encourage coaches to include repeated sprint ability with mainly linear and short sprints into a comprehensive training program.

The aim of this study was to evaluate the effects of an official Taekwondo competition on the heart rate (HR), salivary α-amylase (sA-A), salivary free cortisol (sC), and Profile of Mood States (POMS) in 10 young male (14±0 years) and six female (13±1 years) athletes. POMS and hormones were measured 15 min before and directly after the competition. During the recovery phase (30 and 90 min), sA-A and sC were also measured. HR measured during the competition was expressed as a percentage of individual's maximal heart rate (%HR(max) ) to evaluate the intensity of exercise. During the competition, athletes spent 65% of the time working at HR>90% of individuals HR(max). A significant increase (P<0.0001) in sA-A (115%) was observed at the end of the match. At 30 min of recovery, sA-A returned to the pre-competition level. The peak sC values were observed at 30 min of recovery (P<0.001), returning to the pre-competition level at 90 min of recovery. A gender difference (P=0.01) emerged only for sC, although a similar trend was observed for female and male athletes. Significantly higher post-match scores emerged for Anger-hostility (pre: 6.1±1.1, post: 11.2±1.9; P=0.03) and Depression-dejection (pre: 4.5±0.5, post: 10.2±1.9; P=0.006), whereas the reverse picture was observed for Vigour-activity (pre: 23.2±1.2, post: 16.3±1.7; P=0.0006). Taekwondo competition results in temporary changes in the stress-related parameters measured in this study. The present findings suggest that this experimental paradigm can represent a useful model for further research on the effects of various stressors (i.e., training and competition) in Taekwondo athletes of different levels (i.e., novice, international).

This study aimed at comparing elite (i.e., Euro League and Italian "Serie A1") and sub-elite (Italian "Serie B") matches. A notational analysis was performed on 17 men's water polo matches during the 2005-2006 season to evaluate the following technical and tactical parameters of the offensive play: frequency of occurrence of the actions; mean clock-time duration; mean number of players involved and passes; frequency of occurrence of the turnovers; and frequency of occurrence of the number, outcome, position, and type of the shots. All the indicators were analyzed in relation to even (i.e., equal number of offensive and defensive players), counterattack (i.e., higher number of offensive players than that of the defense), and power play (i.e., a team defending for 20 seconds without a player because of an exclusion foul) situations. A multivariate approach (multivariate analysis of variance) was applied to the playing situations (even, counterattack, and power play) as dependent variables and competition levels (Final Four of Euro League Championship, Serie A1 Championship, and Serie B Championship) as between factor (p < 0.05). Significant differences among competition levels emerged in (a) the frequency of occurrence of counterattack and power play actions, (b) the duration of even situations, (c) the mean number of players directly involved during power play actions, (d) the mean number of the passes during even and power play actions, (e) the frequency of occurrence of the shots during counterattack and power play actions, (f) the frequency of occurrence of goals during even actions, (g) the frequency of occurrence of shots originating from different zones of the court, and (h) the type of shots performed. The present results showed that the competition level has a relevant impact on the occurrence of technical and tactical indicators especially in relation to even, counterattack, and power play situations. Thus, notational analysis proved to be a valuable tool for better coaching through the interpretation of technical and tactical aspects of water polo in relation to its competition level.

The present study aimed to investigate motivations for the dual career of European student-athletes living in countries providing different educational services for elite athletes: State-centric regulation-State as sponsor/facilitator (State), National Sporting Federations/Institutes as intermediary (Federation) and Laisser Faire, no formal structures (No Structure). Therefore, the European Student-athletes' Motivation towards Sports and Academics Questionnaire (SAMSAQ-EU) was administered to 524 European student-athletes. Exploratory Factor Analysis, and Confirmatory Factor Analysis were applied to test the factor structure, and the reliability and validity of the SAMSAQ-EU, respectively. A multivariate approach was applied to verify subgroup effects (P ≤ 0.05) according to gender (i.e., female and male), age (i.e., ≤ 24 years, > 24 years), type of sport (i.e., individual sport and team sport) and competition level (i.e., national and international). Insufficient confirmatory indexes were reported for the whole European student-athlete group, whereas distinct three factor models [i.e., Student Athletic Motivation (SAM); Academic Motivation (AM); Career Athletic Motivation (CAM)] emerged, with acceptable reliability estimates, for State (SAM = 0.82; AM = 0.75; and CAM = 0.75), Federation (SAM = 0.82; AM = 0.66; and CAM = 0.87) and No Structure (SAM = 0.78; AM = 0.74; and CAM = 0.79) subgroups. Differences between subgroups were found only for competition level (P < 0.001) in relation to SAM (P = 0.001) and CAM (P < 0.001). For SAM, the highest and lowest values emerged for Federation (national, 5.1 ± 0.5; international, 5.4 ± 0.5) and State (national, 4.5 ± 0.9; international, 4.8 ± 0.7). The opposite picture emerged for CAM (Federation: national, 3.3 ± 0.7; international, 3.5 ± 0.9; State: national, 5.0 ± 0.8; international, 5.0 ± 0.9). Therefore, despite SAMSAQ-EU demonstrated to be a useful tool, results showed that European student-athletes' motivation for dual career has to be specifically investigated according to social contexts.