Fig. 2.

Dependence of the mean of the accumulated number of players that have been infected after the re-start of the competition $\overline{n}\left(t\right)$ on the main parameters of the system: the days between matches (N_match) (A) and the days between PCR tests (N_test) and their sensitivity (μ_I) (B-D). We simulated 10⁴ times the rest of the season, that consists of 11 matches and the training days in between. Parameters of the simulation are indicated in Table 1, with ${\mu }_I=0.9,$ unless specified otherwise. The seed of all simulations contained one player infected at the first day of the tournament. (A) Influence of the number of days between two consecutive matches, N_match, on $\overline{n}\left(t\right)$. In this simulation, PCR tests with 90% sensitivity were carried out every $N_{test}=7$ days. In (B) we compare the outcome of not doing any tests during the rest of the season and doing them every $N_{test}=7$ days (matches played every 7 days), while in (C) we focus on the number of days N_test between each PCR control (matches played every 4 days, closer to the optimum frequency of 1 every 3 days). (D) Influence of test accuracy μ_I on $\overline{n}\left(t\right)$ (PCR tests and matches carried out every 4 days).