{"title":"Multi-Tier Tournaments: Matching and Scoring Players","authors":"Steven J. Brams, Mehmet S. Ismail","doi":"arxiv-2407.13845","DOIUrl":null,"url":null,"abstract":"We introduce a novel system of matching and scoring players in tournaments,\ncalled Multi-Tier Tournaments, illustrated by chess and based on the following\nrules: 1. Players are divided into skill-based tiers, based on their Elo ratings. 2. Starting with one or more mini-tournaments of the least skilled players\n(Tier 1), the winner or winners -- after playing multiple opponents -- move to\nthe next-higher tier. 3. The winners progress to a final tier of the best-performing players from\nlower tiers as well as players with the highest Elo ratings. 4. Performance in each tier is given by a player's Tournament Score (TS),\nwhich depends on his/her wins, losses, and draws (not on his/her Elo rating). Whereas a player's Elo rating determines in which mini-tournament he/she\nstarts play, TS and its associated tie-breaking rules determine whether a\nplayer moves up to higher tiers and, in the final mini-tournament, wins the\ntournament. This combination of players' past Elo ratings and current TS's\nprovides a fair and accurate measure of a player's standing among the players\nin the tournament. We apply a variation of Multi-Tier Tournaments to the top 20\nactive chess players in the world (as of February 2024). Using a dataset of\n1209 head-to-head games, we illustrate the viability of giving lower-rated\nplayers the opportunity to progress and challenge higher-rated players. We also\nbriefly discuss the application of Multi-Tier Tournaments to baseball, soccer,\nand other sports that emphasize physical rather than mental skills.","PeriodicalId":501188,"journal":{"name":"arXiv - ECON - Theoretical Economics","volume":"89 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - ECON - Theoretical Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.13845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We introduce a novel system of matching and scoring players in tournaments,
called Multi-Tier Tournaments, illustrated by chess and based on the following
rules: 1. Players are divided into skill-based tiers, based on their Elo ratings. 2. Starting with one or more mini-tournaments of the least skilled players
(Tier 1), the winner or winners -- after playing multiple opponents -- move to
the next-higher tier. 3. The winners progress to a final tier of the best-performing players from
lower tiers as well as players with the highest Elo ratings. 4. Performance in each tier is given by a player's Tournament Score (TS),
which depends on his/her wins, losses, and draws (not on his/her Elo rating). Whereas a player's Elo rating determines in which mini-tournament he/she
starts play, TS and its associated tie-breaking rules determine whether a
player moves up to higher tiers and, in the final mini-tournament, wins the
tournament. This combination of players' past Elo ratings and current TS's
provides a fair and accurate measure of a player's standing among the players
in the tournament. We apply a variation of Multi-Tier Tournaments to the top 20
active chess players in the world (as of February 2024). Using a dataset of
1209 head-to-head games, we illustrate the viability of giving lower-rated
players the opportunity to progress and challenge higher-rated players. We also
briefly discuss the application of Multi-Tier Tournaments to baseball, soccer,
and other sports that emphasize physical rather than mental skills.