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Many sports leagues are played in a tightly scheduled round-robin format,leaving a limited time window to postpone matches. If the season cannot resumedue to an external shock such as the coronavirus pandemic in 2020, the rankingof the teams becomes non-trivial: it is necessary to account for scheduleimbalances and possibly for the different number of matches played. First inthe literature, we identify a set of desired axioms for ranking in theseincomplete tournaments. It is verified that the generalised row sum, aparametric family of scoring rules, satisfies all of them. In particular, thewell-established least squares method maximizes the influence of the strengthof opponents on the ranking. Our approach is applied for six major premierEuropean soccer competitions, where the rankings are found to be robustconcerning the weight of adjustment for the strength of the opponents. Somemethodologically simpler alternative policies are also discussed.

Coronavirus and sports leagues: obtaining a fair ranking when the season cannot resume