  In this work, we present a stochastic discrete-time SEIR
(Susceptible-Exposed-Infectious-Recovered) model adapted to describe the
propagation of COVID-19 during a football tournament. Specifically, we are
concerned about the re-start of the Spanish national football league, La Liga,
which is currently -May 2020- stopped with 11 fixtures remaining. Our model
includes two additional states of an individual, confined and quarantined,
which are reached when an individual presents COVID-19 symptoms or has
undergone a virus test with a positive result. The model also accounts for the
interaction dynamics of players, considering three different sources of
infection: the player social circle, the contact with his/her team colleagues
during training sessions, and the interaction with rivals during a match. Our
results highlight the influence of the days between matches, the frequency of
virus tests and their sensitivity on the number of players infected at the end
of the season. Following our findings, we finally present a variety of
strategies to minimize the probability that COVID-19 propagates in case the
season of La Liga was re-started after the current lockdown.
