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- Trying to deduce the dodge rate from given data using binomial distribution somehow, not sure how to proceed

In a game heroes have a maximum dodge rate, from experimental data we have 13 dodges out of 24 attacks (so 11 hits). A fellow on my discord server had immediately solved for the dodge rate as being 13/24. I started to explain it is not so simple as dividing (24-11)/24=13/24 is not the dodge rate, this experiment follows a binomial distribution with number of trials n=24, number of successes x=13, and probability of success p=dodge cap (in decimal form): but here’s where I got lost plugging in different dodge rates into a binomial calculator and observing various probabilities for the experiment to have run the way it did for different values (we have it on a good word that the dodge cap is 50 or 60%) and realized this approach did not provide me a means of determining the actual dodge cap. Have I gone and made this overly complicated? Was 13/24 actually a good estimate? Thanks!