In this paper, we propose a method for modeling the SSD from empirical performance data to predict key performance indicators (KPIs). Using data from industry standard Flexible I/O (FIO) testing, we derive a computable distribution of latencies. Comparing the results of our model to the test data, we found that we had a lower percentage error than other simulation and performance modeling solutions both in terms of average latency calculations as well as tail latencies at the 90th and 99th percentiles. Additionally, we show that our model can be used to treat various classes of SSDs under diverse workloads and discuss how it can be applied to inform design of computer systems