I've done some work with Bernoulli Trials and binomial probability distributions in the past, so I'm familiar with how to calculate these probability tables. Of particular interest are situations where you crit at least once or where you crit at least <enough_to_kill_target>.

For example, you might say that your regular LBs do 1200 damage and crits (with Pcrit=0.30) do 2400 (0 resilience here, obviously). In two volleys (8 LB casts), you would kill a target of 13,000 health if you crit 3 times or more (3xcrit=7200 + 5xnormal=6000 for a total of 13,200). It's very interesting to use Bernoulli Trials to calculate the probability of getting 3 or more crits (~44%) as opposed to just calculating the probability for getting exactly three crits (which is only 25.4%).

There's a great Bernoulli Trials tool at http://people.hofstra.edu/stefan_wan...bernoulli.html that I've used for quick and easy calculations. Definitely agree that looking at these events in this fashion can be useful.