(5) #296 South Carolina-B (3-14)

369.12 (4)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
125 Davidson** Loss 3-13 0 6 0% Ignored (Why) Feb 17th Commonwealth Cup Weekend 1 2024
199 Messiah Loss 5-11 -9.94 7 6.77% Counts (Why) Feb 17th Commonwealth Cup Weekend 1 2024
216 North Carolina State-B Win 7-6 33.55 9 6.1% Counts Feb 17th Commonwealth Cup Weekend 1 2024
216 North Carolina State-B Loss 3-8 -12.72 9 5.74% Counts (Why) Feb 18th Commonwealth Cup Weekend 1 2024
301 Virginia-B Win 8-7 7.38 7 6.56% Counts Feb 18th Commonwealth Cup Weekend 1 2024
238 Wake Forest Loss 7-8 12.7 12 6.56% Counts Feb 18th Commonwealth Cup Weekend 1 2024
201 Alabama-Birmingham Loss 6-12 -10.01 5 7.61% Counts Feb 24th Joint Summit 2024
324 Coastal Carolina Win 8-6 11.33 4 6.71% Counts Feb 24th Joint Summit 2024
250 Georgia Tech-B Loss 5-9 -19.44 3 6.71% Counts Feb 24th Joint Summit 2024
185 South Florida Loss 4-13 -8.72 12 7.82% Counts (Why) Feb 24th Joint Summit 2024
201 Alabama-Birmingham Loss 6-13 -12.06 5 7.82% Counts (Why) Feb 25th Joint Summit 2024
173 Clemson Loss 5-13 -2.54 3 7.82% Counts (Why) Feb 25th Joint Summit 2024
271 High Point Loss 6-7 1.51 4 8.15% Counts Mar 23rd Needle in a Ho Stack 2024
158 Kennesaw State** Loss 2-12 0 9 0% Ignored (Why) Mar 23rd Needle in a Ho Stack 2024
216 North Carolina State-B Loss 5-6 21.57 9 7.49% Counts Mar 24th Needle in a Ho Stack 2024
116 Liberty** Loss 1-11 0 8 0% Ignored (Why) Mar 24th Needle in a Ho Stack 2024
238 Wake Forest Loss 5-8 -13.09 12 8.15% Counts Mar 24th Needle in a Ho Stack 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.