Quantifying and Simulating Decision-making Time for Shot Selection in Cricket Batting against Fast and Spin Bowling

This paper investigates the time available to cricket batters for shot selection against fast and spin bowlers, presenting an analysis to estimate trajectory time of the ball that can infer appropriate decision-making. In this study, data and statistical analyses were conducted using Python (Version 3.12.0) with Jupyter Notebook (Version 7.2). Libraries used for data visualisation included Pandas (Version 2.2.2), NumPy (Version 1.25.1) and Matplotlib (Version 3.9.0). Descriptive (means and standard deviations) and inferential statistics (independent sample t-test) were computed with a significance level set at 0.05. As expected, fast bowlers produced significantly shorter available reaction time for batters (Mean = 0.45 sec, SD = 0.04) compared to spin bowlers (Mean = 0.75 sec, SD = 0.08). A statistically significant difference between the two groups was observed (p < 0.001), confirming that fast bowlers place greater time pressure on batters to make rapid decisions. Additional factors under such time constraints include the heterogeneity of deliveries being bowled, environmental conditions, flight, swing, dip, spin, post-bounce and ball angle. The findings emphasise the need for advanced anticipatory skills and rapid decision-making to succeed in cricket, with a further understanding of batters visual and neural stimuli.