The increasing availability of Second Life Li-ion Batteries (SLBs) makes so that accurate ageing modelling can be a powerful tool to estimate the impact of a certain utilization profile. However, several stress factors can impact the ageing, and uncertainties are an important issue for the second life, due to the sometimes unknown first life utilization and the natural variability of electrochemical devices. In this work, we propose an empirical, event-based model for the second life of li-ion cells. Its parameterization is supported by real data of Li-NMC (Lithium Nickel Manganese Cobalt oxides) cells and considers cycling ageing with three stress factors: current, cycle depth and mean State of Charge (SoC). The model takes uncertainties in consideration, and we provide all the parameters in Open Data fashion. This simple model can be easily implemented and coupled to cycle counting algorithms in order to predict a lifetime range for a given SoC profile. Finally, we analyse the effect of individual cell uncertainties and their impact on a battery pack. Simulation results show that the model is able to properly simulate the second life duration when compared to practical results available in the literature.