Authors: Freeston, JL; Carter, T; Whitaker, G; Nicholls, O; Rooney, KB
This study aimed to examine difference strength and power measurables to see which were correlated to cricket throwing velocity.
Dominant leg Lateral to Medial Jump and dominant side medicine ball rotational throw had the highest correlations to stretch and shuffle throw velocity. Followed by medicine ball chest pass.
A non-significant trend was observed for vertical jump height. But after a multiple regression analysis vertical jump height reached statistical significance (r=0.51). The study found medicine ball rotation throw velocity and medicine ball chest pass distance to explain 70% of the variance.
Medicine ball training has been shown to be correlated to throwing velocities meaning that is should be included in a well rounded S & C program. A follow up study to compare the results of the same tests with elite cricket or baseball players would provide an interesting comparison.
Authors: Debanne, T; Laffaye, G
The researchers wanted to investigate the level of influence of anthropometric, handball-specific anthropometric variables, and upper-limb power and strength on throwing velocity. They attempt to predict velocity based on those factors using multiple regression methods.
Positive correlations were found between ball velocity and general anthropometric measures (body mass, height, BMI, lean mass). Handball specific parameters (Hand perimeter, finger span, ring finger length, middle finger length, arm span) were found to be lower correlated that previous studies suggest.
Correlation of strength variables (force, power, and bar velocity in the bench press, medicine-ball throwing performance) ranged from .45 to .80. With medicine-ball throwing being the highest. The medicine ball throw was done kneeling, holding the ball over their heads, with distance being measured.
Ball velocity had a high correlation (.65) with maximum power in the bench press. A strong correlation (.6) was also found between bar velocity at 20 kg. Bench press at lower loads showed better correlations than higher loads when examining power and force outputs.
The best anthropometric model was only able to explain 41% of the total variance. A model including the medicine ball throwing performance and body mass (the highest anthropometric measurement) predicted 72.76% of total variance. The highest model included body mass, medicine ball performance and force output at 20 kg at 74.28%.