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Purpose: The technological advancements in motorcycle road racing have ensured the evolution of motorcycle performance; however, it is unknown whether these advancements have resulted in increased speed and therefore risk. To better understand the top level of this sport and inform future regulations, performance-related strategies, and safety procedures, this study aimed to (1) analyze and describe how the performance characteristics of the top class of the Fédération Internationale de Motocyclisme Grand Prix motorcycle world championship (GPWC) have changed with time and (2) quantify potential interactions between performance data (ie, crashes, speed, and environmental conditions). Methods: Variables such as top 10 riders’ speed of racing, crashes, starting position of winner, participants, and environmental conditions were collected from official race reports from 1997 to 2016. Data standardization was also ensured by including only dry competitions in the analysis. Results: The mean racing speed ranged from a minimum of 155 (7.27) km·h⁻¹ (year 2000) to a maximum of 165 (6.48) km·h⁻¹ (year 2015). Linear mixed-model analysis revealed that the variables year and class significantly influenced changes in mean speed (faster racing). Per race, 12–14% of starters (95% confidence interval) suffered a crash. No significant associations were found between crashes and mean speed, ground temperature, air temperature, or air humidity. Conclusions: The speed of dry racing of the top class of the GPWC has increased over a 20-y span. Motorcycle circuit racing riders should consider the importance of being prepared to cope with crashing events to minimize chances of injury.

Anthropometrical and physical characteristics have been used to distinguish players of different competition levels and position groups; however, there is no literature on rugby sevens.

Adjustment for body mass and maturation of strength, power, and velocity measures of young athletes is important for talent development. Seventy-four youth male athletes performed a ballistic leg press test at five loads relative to body mass. The data were analyzed in maturity groups based on years from peak height velocity: −2.5 to −0.9 y (n = 29); −1.0 to 0.4 y (n = 28); and 0.5 to 2.0 y (n = 16). Allometric scaling factors representing percent difference in performance per percent difference in body mass were derived by linear regression of log-transformed variables, which also permitted adjustment of performance for body mass. Standardized differences between groups were assessed via magnitude-based inference. Strength and power measures showed a greater dependency on body mass than velocity-related variables (scaling factors of 0.56–0.85 vs. 0.42–0.14%/%), but even after adjustment for body mass most differences in strength and power were substantial (7–44%). In conclusion, increases in strength and power with maturation are due only partly to increases in body mass. Such increases, along with appropriate adjustment for body mass, need to be taken into account when comparing performance of maturing athletes.

Sprinting is an important physical capacity and the development of sprint ability can take place throughout the athlete’s growth. The purpose of this study therefore was to determine if the kinematics and kinetics associated with maximum sprint velocity differs in male youth participants of different maturity status (pre, mid- and postpeak height velocity (PHV)) and if maximum sprint velocity is determined by age, maturity or individual body size measurement. Participants (n = 74) sprinted over 30 meters on a nonmotorized treadmill and the fastest four consecutive steps were analyzed. Pre-PHV participants were found to differ significantly (p < .05) to mid- and post-PHV participants in speed, step length, step frequency, vertical and horizontal force, and horizontal power (~8-78%). However, only relative vertical force and speed differed significantly between mid and post-PHV groups. The greatest average percent change in kinetics and kinematics was observed from pre- to mid-PHV (37.8%) compared with mid- to post- PHV groups (11.6%). When maturity offset was entered as a covariate, there was no significant difference in velocity between the three groups. However, all groups were significantly different from each other when age was chosen as the covariate. The two best predictors of maximal velocity within each maturity group were power and horizontal force (R ² = 97−99%) indicating the importance of horizontal force application while sprinting. Finally, maturity explained 83% of maximal velocity across all groups.