The problem of evacuating two robots from the disk in the face-to-face model was first introduced in [16], and extensively studied (along with many variations) ever since with respect to worst case analysis. We initiate the study of the same problem with respect to average case analysis, which is also equivalent to designing randomized algorithms for the problem. First we observe that algorithm B2 of [16] with worst case cost Wrs (B2) := 5.73906 has average case cost Avg (B2) := 5.1172. Then we verify that none of the algorithms that induced worst case cost improvements in subsequent publications has better average case cost, hence concluding that our problem requires the invention of new algorithms. Then, we observe that a remarkable simple algorithm, B1, has very small average case cost Avg (B1) := 1 + π, but very high worst case cost Wrs (B1) := 1 + 2π. Motivated by the above, we introduce constrained optimization problem 2 EVAC w F 2F , in which one is trying to minimize the average case cost of the evacuation algorithm given that the worst case cost does not exceed w. The problem is of special interest with respect to practical applications, since a common objective in search-and-rescue operations is to minimize the average completion time, given that a certain worst case threshold is not exceeded, e.g. for safety or limited energy reasons. Our main contribution is the design and analysis of families of new evacuation parameterized algorithms A (p) which can solve 2 EVAC w F 2F , for every w ∈ [Wrs (B1) , Wrs (B2)]. In particular, by letting parameter(s) p vary, we obtain parametric curve (Avg (A (p)) , Wrs (A (p))) that induces a continuous and strictly decreasing function in the mean-worst case space, and whose endpoints are (Avg (B1) , Wrs (B1)) , (Avg (B2) , Wrs (B2)). Notably, the worst case analysis of the problem, since it's introduction, has been relying on technical numerical, computerassisted, calculations, following tedious robots trajectories' analysis. Part of our contribution is a novel systematic procedure, which, given any evacuation algorithm, can derive it's worst and average case performance in a clean and unified way.