Statistical gauging in WagonFit replaces fixed worst case values with probability distributions. Each parameter is defined by how it actually varies, using a normal distribution, a uniform range or discrete values, and the analysis samples across those distributions to generate thousands of realistic load cases.

The output is a statistical clearance result expressed as a mean value with standard deviation bands, providing a result calibrated to the real population of vehicle states rather than a theoretical worst case.