https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Current time-motion analyses of professional football matches in top-level domestic leagues: a systematic review https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39067 14.0 km·h-1; >14.1 km·h-1; >14.4 km·h-1) and very high-speed activity (VHSA) (>19.1 km·h-1; >19.8 km·h-1; >21.0 km·h-1) were reported. Average total distance (TD) ranged from 10,274 m (Australia) to 11,389 m (Italy). Comparison between positions showed that centre-backs generally covered the least distance (TD = 10,178 m; HSA = 1,886 m-1,940 m; VHSA = 391 m-621 m) and wide-midfielders the greatest distance (TD = 11,654 m; HSA = 3,006 m-3,406 m; VHSA = 753 m-1,216 m). This review of timemotion analysis demonstrated fairly similar outcomes for most domestic top-level leagues but suggests a strong influence of contextual variables. The consistently reported positional differences likely reflect the varied tactical demands of each position. The review proposes reaching a consensus on velocity threshold definitions and integrating contextual information in future research.]]> Wed 04 May 2022 14:14:33 AEST ]]> The physical demands of professional soccer players during in-season field-based training and match-play https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19614 Sat 24 Mar 2018 07:58:23 AEDT ]]> Global positioning system data analysis: velocity ranges and a new definition of sprinting for field sport athletes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25366 Sat 24 Mar 2018 07:39:12 AEDT ]]> Fluctuations in activity demands across game quarters in professional and semiprofessional male basketball https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28162 -1), high-intensity movement (>3 m·s-1), shuffling, and dribbling activity. Frequencies were determined for jumping and upper-body activity; stoppage durations were also calculated. Separate repeated-measures analysis of variance and Cohen's d were used to identify significant differences and quantify the effect sizes between game quarters for all outcome measures, respectively. Pearson correlation analyses were performed to determine the relationship between stoppage duration and all activity measures. The results showed significantly (p ≤ 0.05) reduced dribbling (3.09 ± 0.03 m·s-1 vs. 2.81 ± 0.01 m·s-1) and total (2.22 ± 0.04 m·s-1 vs. 2.09 ± 0.03 m·s-1) activity velocities during the third compared with the first quarter in professional players. Furthermore, effect size analyses showed greater decreases in high-intensity (professional: d 1.7-5.4; semiprofessional: d 0.3-1.7), shuffling (professional: d 2.3-3.2; semiprofessional: d 1.4-2.1), and total (professional: d 1.0-4.9; semiprofessional: d 0.3-0.8) activity and increases in dribbling (professional: d 1.4-4.7; semiprofessional: d 2.5-2.8) with game progression in professional players. In semiprofessional players, stoppage duration was significantly (p ≤ 0.05) related to various low-intensity (R 0.64-0.72), high-intensity (R 0.65-0.72), and total (R 0.63-0.73) activity measures. Although not directly measured, the observed game activity fluctuations were likely because of a combination of physiological (e.g., muscle glycogen depletion, dehydration), tactical (e.g., ball control, game pace), and game-related (e.g., time-outs, player fouls) factors. Basketball coaches can use the provided data to (a) develop more precise training plans and management strategies, (b) elevate semiprofessional player performance closer to the professional level, and (c) incorporate tactical strategies to maximize the benefits of stoppages.]]> Sat 24 Mar 2018 07:36:34 AEDT ]]> Development of a Twenty20 Field-Based Simulation for Cricket Fast Bowlers (FBS-T20) https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49185 0.05) with the exception of significantly lower jog values in the FBS-T20 (957–1,279 vs. 2,195 m; p = 0.04-<0.001). The maximal HR was found to be valid, but the mean HR was significantly higher than previously published data (147–151 bpm vs. 133 bpm; p = 0.014–0.003). Distances covered demonstrated high levels of reliability, with increasing reliability found after additional sessions (coefficient of variation [CV]% = 3.8–14.4). The HR (CV% = 4.8–6.3) and session RPE (CV% = 10.8) demonstrated moderate reliability, whereas approach speed, 10-m sprint, and bowling skills test results possessed low levels of reliability. The FBS-T20 is a practically viable testing and training tool that is valid and reliable for distances covered at high speeds. One full familiarization session is recommended for optimal reliability.]]> Fri 05 May 2023 15:44:43 AEST ]]>