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We prove that the probability $P_N$ for a real random Gaussian $N\timesN\times 2$ tensor to be of real rank $N$ is $P_N=(\Gamma((N+1)/2))^N/G(N+1)$,where $\Gamma(x)$, $G(x)$ denote the gamma and Barnes $G$-functionsrespectively. This is a rational number for $N$ odd and a rational numbermultiplied by $\pi^{N/2}$ for $N$ even. The probability to be of rank $N+1$ is$1-P_N$. The proof makes use of recent results on the probability of having $k$real generalized eigenvalues for real random Gaussian $N\times N$ matrices. Wealso prove that $\log P_N= (N^2/4)\log (e/4)+(\log N-1)/12-\zeta '(-1)+{\rmO}(1/N)$ for large $N$, where $\zeta$ is the Riemann zeta function.

Rank probabilities for real random $N\times N\times 2$ tensors