The Attentional Blink (AB) refers to a deficit reporting a second target (T2) embedded in a stream of distractors when presented 200-500 ms after a preceding target (T1). At TeaP 2021, I presented empirical evidence showing that the processing speed of T2 is lower during the AB, supporting AB theories placing a bottleneck at the encoding stage. In this talk, I will present the first analytical model of the AB based on these findings. The model is an extension of the Theory of Visual Attention (TVA; Bundesen, 1990) and can be used to fit data from individual participants. The model is also capable of predicting key findings from the AB literature such as Lag-1 sparing, target swaps, and effects of T1 difficulty. This makes the model a promising tool in the endeavor to better understand the underlying dynamics of the AB phenomenon.