In this paper, we study some important statistics of the random graph in the directed preferential attachment model introduced by B. Bollob'as, C. Borgs, J. Chayes and O. Riordan. First, we find a new asymptotic formula for the expectation of the number of nodes of a given in-degree in a graph in this model with edges, which covers all possible degrees. The out-degree distribution in the model is symmetrical to the in-degree distribution. Then we prove tight concentration for while grows up to the moment when decreases to ; if grows even faster, is zero . Furthermore, we study a more complicated statistic of the graph: is the total number of edges from a vertex of out-degree to a vertex of in-degree . We also find an asymptotic formula for the expectation of and prove a tight concentration result.

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