(14) #196 Charleston (8-12)

1133.53 (357)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
418 Wisconsin-Eau Claire-B** Win 13-2 0 352 0% Ignored (Why) Mar 16th Southerns 2024
224 Georgia-B Win 10-8 10.11 183 5.66% Counts Mar 16th Southerns 2024
215 East Carolina Loss 3-8 -31.66 204 4.53% Counts (Why) Mar 16th Southerns 2024
248 Florida-B Loss 8-9 -17.16 463 5.5% Counts Mar 16th Southerns 2024
248 Florida-B Win 15-3 26.58 463 5.82% Counts (Why) Mar 17th Southerns 2024
94 Wisconsin-Eau Claire Loss 2-15 -12.28 285 5.82% Counts (Why) Mar 17th Southerns 2024
261 Georgia Tech-B Win 13-12 -6.44 276 5.82% Counts Mar 17th Southerns 2024
215 East Carolina Loss 2-9 -33.77 204 4.81% Counts (Why) Mar 17th Southerns 2024
179 North Carolina-Asheville Win 11-6 37.93 263 5.83% Counts (Why) Mar 23rd Needle in a Ho Stack 2024
241 Wake Forest Loss 5-6 -13.36 312 4.69% Counts Mar 23rd Needle in a Ho Stack 2024
98 Georgia State Loss 5-9 -7.92 109 5.29% Counts Mar 24th Needle in a Ho Stack 2024
114 Davidson Loss 3-11 -17.76 291 5.66% Counts (Why) Mar 24th Needle in a Ho Stack 2024
164 Kennesaw State Loss 7-10 -15.73 258 5.83% Counts Mar 24th Needle in a Ho Stack 2024
214 North Carolina-B Win 11-6 30.15 386 5.83% Counts (Why) Mar 24th Needle in a Ho Stack 2024
72 Appalachian State Loss 7-10 7.86 302 6.93% Counts Apr 13th Carolina D I Mens Conferences 2024
14 North Carolina State** Loss 3-15 0 225 0% Ignored (Why) Apr 13th Carolina D I Mens Conferences 2024
42 South Carolina** Loss 0-15 0 163 0% Ignored (Why) Apr 13th Carolina D I Mens Conferences 2024
241 Wake Forest Win 14-7 34.51 312 7.33% Counts (Why) Apr 13th Carolina D I Mens Conferences 2024
146 Clemson Loss 9-12 -12.7 379 7.33% Counts Apr 14th Carolina D I Mens Conferences 2024
215 East Carolina Win 11-8 23.54 204 7.33% Counts Apr 14th Carolina 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.