This paper examines bounds on upper tails for cycle counts in . For a fixed graph define to be the number of copies of in . It is a much studied and surprisingly difficult problem to understand the upper tail of the distribution of , for example, to estimate \begin{equation*} (\xi_H > 2 \xi_H). \end{equation*} The best known result for general and is due to Janson, Oleszkiewicz, and Ruci'nski, who, in 2004, proved \begin{align}\label{a:JOR} \exp[-O_{H, \eta}(M_H(n,p) \ln(1/p))]&<(\xi_H > (1+\eta) \xi_H)\&<\exp[-\Omega_{H, \eta}(M_{H}(n,p))].\nonumber \end{align} Thus they determined the upper tail up to a factor of in the exponent. There has since been substantial work to improve these bounds for particular and . We close the gap for cycles, up to a constant in the exponent. Here the lower bound given by JOR is the truth for -cycles when $p> \frac{\ln^{1/(l-2)}n}{n}$.

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