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Short sprints are predominantly assessed using timing gates and analyzed through parameters of the mono-exponential equation, including estimated maximal sprinting speed ((Formula presented.)) and relative acceleration ((Formula presented.)), derived maximum acceleration (MAC), and relative propulsive maximal power ((Formula presented.)), further referred to as the No Correction model. However, the frequently recommended flying start technique introduces a bias during parameter estimation. To correct this, two additional models (Estimated TC and Estimated FD) were proposed. To estimate model precision and sensitivity to detect the change, 31 basketball players executed multiple 30 m sprints. Athlete performance was simultaneously measured by a laser gun and timing gates positioned at 5, 10, 20, and 30 m. Short sprint parameters were estimated using a laser gun, representing the criterion measure, and five different timing gate models, representing the practical measures. Only the MSS parameter demonstrated a high agreement between the laser gun and timing gate models, using the percent mean absolute difference ((Formula presented.)) estimator ((Formula presented.) < 10%). The MSS parameter also showed the highest sensitivity, using the minimum detectable change estimator ((Formula presented.)), with an estimated (Formula presented.) < 17%. Interestingly, sensitivity was the highest for the No Correction model ((Formula presented.) < 7%). All other parameters and models demonstrated an unsatisfying level of sensitivity. Thus, sports practitioners should be cautious when using timing gates to estimate maximum acceleration indices and changes in their respective levels. © 2024 by the authors.