Vol. 1, Issue 10, Part C (2015)
Kinematic influences on ball deviation in men’s off-spin bowling in cricket
Kinematic influences on ball deviation in men’s off-spin bowling in cricket
Author(s)
Sukanta Goswami, VK Srivastava, Yajuvendra Singh Rajpoot, Prasenjit Biswas
Abstract
The purpose of this study was to analyse the kinematics influences on ball deviation of men’s in off-spin bowling, and then investigate whether any of the kinematics variables were associated with lateral deviation of ball. Five off-spin bowlers (mean ± s: age = 21.0 ± 0.9 years) were recruited from the Lakshmibai National Institute of Physical Education, India, and their bowling actions were captured by three video cameras (Nikon D-3100, Sony HDR-C-CX200 and Panasonic SDR-H101; 50 frames/second), in a field setting. Six legitimate (excluding ‘‘no balls’’) and accurate deliveries were recorded for each participant. The recorded videotapes were digitized and analyzed on motion analysis software (Kinovea Software; 0.8.15). Pearson’s Product Moment Correlation was used for evaluating the various relationships of the selected variables towards the performance of spin bowling. Multiple Linear Regression was used for evaluating the contribution of identified biomechanical variables and construction of predictive model. A value of α = 0.05 was used for all tests as the criterion to determine the presence or absence of significance. The raw data were calculated in SPSS (Version 20.0). A number of kinematic variables the Angle of Release (r= 0.939), Average Velocity (r= 0.955), Ankle Joint Left(r=0.661), Knee Joint left (r= 0.446) and Elbow Joint left (r= -0.639) were significantly correlated with Lateral Deviation of Ball. The regression equation was reliable as the value of R2 was 0.974. The four variables selected in that regression equation explain 97.4% of the total variability in lateral deviation of ball was good. Since F-value for that regression model was also highly significant, the model was reliable. At the same time all the regression coefficient in that model were highly significant and therefore all the four variables selected in the model viz. Average Velocity, Elbow joint Right, Angle of release and Ankle joint left were valid in estimating the lateral deviation of ball of a off-spin bowling.
How to cite this article:
Sukanta Goswami, VK Srivastava, Yajuvendra Singh Rajpoot, Prasenjit Biswas. Kinematic influences on ball deviation in men’s off-spin bowling in cricket. Int J Appl Res 2015;1(10):157-163.