The COVID-19 pandemic has left its marks in the sports world, forcing the full-stop of all sports-related activities in the first half of 2020. Football leagues were suddenly stopped and each country was hesitating between a relaunch of the competition and a premature ending. Some opted for the latter option, and took as the final standing of the season the ranking from the moment the competition got interrupted. This decision has been perceived as unfair, especially by those teams who had remaining matches against easier opponents. In this paper, we introduce a tool to calculate in a fairer way the final standings of domestic leagues that have to stop prematurely: our Probabilistic Final Standing Calculator (PFSC). It is based on a stochastic model taking into account the results of the matches played and simulating the remaining matches, yielding the probabilities for the various possible final rankings. We have compared our PFSC with state-of-the-art prediction models, using previous seasons which we pretend to stop at different points in time. We illustrate our PFSC by showing how a probabilistic ranking of the French Ligue 1 in the stopped 2019-2020 season could have led to alternative, potentially fairer, decisions on the final standing.
翻译:COVID-19大流行在体育界留下痕迹,迫使2020年上半年全面停止所有与体育有关的活动。足球联赛突然停止,每个国家都在重新发起竞争和过早结束之间犹豫不决。一些人选择了后一种选择,并从竞争中断之时起就以该季节的最后一站为最后一站。这个决定被认为是不公平的,特别是被那些仍然与较容易的对手保持竞争的球队所认为是不公平的。在这份文件中,我们引入了一种工具,以更公平的方式计算必须过早停止的国内联赛的最后地位:我们的概率性最终常设计算器(PFSC),它基于一种随机模型,考虑到比赛结果并模拟其余的比赛,从而产生各种可能的最后排名的概率。我们用我们假装在不同时间停止的前几个赛季来比较我们的PFSC和最新预测模型。我们通过展示我们的PFSC如何在2019-2020年这一年这一年这一年这一年可能停止的阶段显示法国自由主义1号最终决定的不稳定性排名。