(12) #282 Toledo (9-12)

818.55 (431)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
110 Davenport** Loss 4-13 0 250 0% Ignored (Why) Mar 16th Grand Rapids College Invite
340 DePaul Loss 11-12 -21.59 241 5.27% Counts Mar 16th Grand Rapids College Invite
145 Southern Illinois-Edwardsville Loss 9-11 14.68 271 5.27% Counts Mar 16th Grand Rapids College Invite
316 Calvin University Win 13-8 18.8 620 5.27% Counts Mar 17th Grand Rapids College Invite
362 Concordia-Wisconsin Win 13-4 12.21 431 5.27% Counts (Why) Mar 17th Grand Rapids College Invite
257 Wisconsin-B Win 9-6 25.43 357 4.68% Counts Mar 17th Grand Rapids College Invite
270 Wisconsin-Platteville Win 9-4 29.24 439 4.36% Counts (Why) Mar 17th Grand Rapids College Invite
222 Ball State Loss 4-10 -20.42 238 5.17% Counts (Why) Mar 30th Illinois Invite 2024
369 Illinois-B Win 8-4 5.26 240 4.7% Counts (Why) Mar 30th Illinois Invite 2024
294 Knox Loss 2-11 -39.06 307 5.43% Counts (Why) Mar 30th Illinois Invite 2024
323 Purdue-B Win 8-6 6.02 368 5.08% Counts Mar 30th Illinois Invite 2024
264 Wheaton (Illinois) Loss 1-7 -23.62 223 4.29% Counts (Why) Mar 30th Illinois Invite 2024
369 Illinois-B Loss 7-15 -66.51 240 5.91% Counts (Why) Mar 31st Illinois Invite 2024
294 Knox Loss 10-11 -12.93 307 5.91% Counts Mar 31st Illinois Invite 2024
74 Cincinnati** Loss 1-13 0 253 0% Ignored (Why) Apr 20th Ohio D I Mens Conferences 2024
194 Ohio Loss 6-9 -6.3 333 6.25% Counts Apr 20th Ohio D I Mens Conferences 2024
35 Ohio State** Loss 1-13 0 261 0% Ignored (Why) Apr 20th Ohio D I Mens Conferences 2024
347 Wright State Win 10-5 18.84 189 6.25% Counts (Why) Apr 20th Ohio D I Mens Conferences 2024
268 Akron Win 15-14 13.44 152 7.03% Counts Apr 21st Ohio D I Mens Conferences 2024
182 Dayton Win 11-7 61.63 24 6.84% Counts Apr 21st Ohio D I Mens Conferences 2024
292 Kent State Loss 12-13 -14.82 416 7.03% Counts Apr 21st Ohio D I Mens Conferences 2024
**Blowout Eligible. Learn more about how this works here.

FAQ

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.