Tournaments are a widely used mechanism to rank alternatives in a noisy environment. We investigate a fundamental issue of economics in tournament design: what is the best usage of limited resources, that is, how should the alternatives be compared pairwise to best approximate their true but latent ranking. We consider various formats including knockout tournaments, multi-stage championships consisting of round-robin groups followed by single elimination, and the Swiss-system. They are evaluated via Monte-Carlo simulations under six different assumptions on winning probabilities. Comparing the same pairs of alternatives multiple times turns out to be an inefficacious policy. The Swiss-system is found to be the most accurate among all these designs, especially in its ability to rank all participants. A possible explanation is that it does not eliminate an alternative after a single loss, while it takes the history of the comparisons into account. Hence, this particular format may deserve more attention from the decision-makers such as the governing bodies of major sports.
翻译:巡回赛是一种广泛使用的机制,用于在吵闹的环境中对替代品进行排名。我们调查了在比赛设计中经济学的一个根本问题:有限资源的最佳用途是什么,即,如何将替代品比对到最接近其真实但潜在的排名。我们考虑了各种模式,包括击倒比赛、由圆环赛组组成的多阶段锦标赛,然后是单一消除赛,以及瑞士系统。通过蒙特-卡洛模拟在六个不同的概率赢取假设下对它们进行了评估。对相同的替代品进行多次比较证明是一种无效的政策。发现瑞士系统在所有这些设计中都是最准确的,特别是它能够给所有参与者定级。一个可能的解释是,它不会在一次损失之后消除一种替代,同时考虑比较的历史。因此,这种特殊格式可能需要主要体育管理机构等决策者更多关注。