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To identify the dominant factors influencing ball velocity in field hockey drag flicking from selected biomechanical variables in male hockey players (N=50). Relevant biomechanical variables were analysed across; approach, stick contact, drag and follow through phases. Basler and Canon cameras were used to capture the drag flick performance in two-dimensions (2D) using MAX TRAQ Software. Pearson product moment correlation, partial correlation, and multiple regression was used to predict the influence of selected independent variables on ball velocity. Both forms of correlation results revealed that ball velocity had a high positive correlation with stick velocity. Multiple regression showed that the selected biomechanical variables accounted for 74% of the final ball velocity. The results of the regression equation model showed that apart from other selected independent variables, drag length, stick velocity and distance of left foot from ball were highly predictive of ball velocity in the drag flick.