(3) #222 Valparaiso (2-10)

384.15 (125)

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# Opponent Result Effect % of Ranking Status Date Event
267 Illinois-Chicago Win 7-3 10.76 9.54% Mar 23rd Meltdown 2019
126 North Park** Loss 2-7 0 0% Ignored Mar 23rd Meltdown 2019
177 Wisconsin-La Crosse Loss 2-11 -43.27 12.07% Mar 23rd Meltdown 2019
125 St Benedict** Loss 3-11 0 0% Ignored Mar 23rd Meltdown 2019
218 Loyola-Chicago Loss 5-11 -77.01 12.07% Mar 24th Meltdown 2019
148 Marquette Loss 6-9 10.35 11.69% Mar 24th Meltdown 2019
35 Truman State** Loss 0-13 0 0% Ignored Mar 24th Meltdown 2019
218 Loyola-Chicago Win 11-5 93.73 12.79% Mar 30th Illinois Invite 8
148 Marquette Loss 1-10 -14.31 12.18% Mar 30th Illinois Invite 8
137 Illinois Loss 1-6 -4.88 9.32% Mar 31st Illinois Invite 8
156 Wisconsin-Milwaukee Loss 2-3 25.86 7.15% Mar 31st Illinois Invite 8
208 Wisconsin-Oshkosh Loss 8-9 -2.16 13.18% Mar 31st Illinois Invite 8
**Blowout Eligible


The results on this page ("USAU") are the results of an implementation of the USA Ultimate Top 20 algorithm, which is used to allocate post season bids to both colleg and club ultimate teams. The data was obtained by scraping USAU's score reporting website. Learn more about the algorithm here. TL;DR, here is the rating function. Every game a team plays gets a rating equal to the opponents rating +/- the score value. With all these data points, we iterate team ratings until convergence. There is also a rule for discounting blowout games (see next FAQ)
For reference, here is handy table with frequent game scrores and the resulting game value:
"...if a team is rated more than 600 points higher than its opponent, and wins with a score that is more than twice the losing score plus one, the game is ignored for ratings purposes. However, this is only done if the winning team has at least N other results that are not being ignored, where N=5."

Translation: if a team plays a game where even earning the max point win would hurt them, they can have the game ignored provided they win by enough and have suffficient unignored results.