Abstract
The aim of this study was to predict the ball velocity on the basis of anthropometric variables of male division level cricket bowlers. Materials and methods: A total of 08 medium pace bowlers (mean ± standard deviation; age= 20.2±2.09 years; height= 172±3.65cms.) who participated in recent Gwalior division cricket competition were selected for the study. For anthropometric variables following measurements were conducted: standing height, upper arm length, lower arm length, palm length, upper leg length, lower leg length. Ball velocity was measured with a doppler radar gun. The stepwise multiple regression was conducted to predict the ball velocity of medium pace bowlers based on selected anthropometric variables. Results: The results suggest that lower arm length and ball velocity had a significant relationship (r = 0.780; p 0.001). In addition, a prediction model (Ball velocity = 76.601+1.507 [lower arm length]) with an R2 value of 0.608 was developed, with lower arm length being the only predictor. Conclusion: This also signifies that there may be other factors that contributes to the ball velocity such as strength of shoulders, run-up speed, kinematic variables, or kinetic variables. Therefore, future researches should focus on all those parameters that were not included in this study.
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