We focus on an online 2-stage problem, motivated by the following situation: consider a system where students shall be assigned to universities. There is a first stage where some students apply, and a first (stable) matching M1 has to be computed. However, some students may decide to leave the system (change their plan, go to a foreign university, or to some institution not in the system). Then, in a second stage (after these deletions), we shall compute a second (final) stable matching M2. As in many situations important changes to the assignments are undesirable, the goal is to minimize the number of divorces/modifications between the two stable matchings M1 and M2. Then, how should we choose M1 and M2? We show that there is an optimal online algorithm to solve this problem. In particular, thanks to a dominance property, we show that we can optimally compute M1 without knowing the students that will leave the system. We generalize the result to some other possible modifications in the input (such as additional capacities of universities). We also tackle the case of more stages, showing that no competitive (online) algorithm can be achieved for the considered problem as soon as there are 3 stages.