() #119 Berry (13-7)

1172.32 (6)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
105 Mississippi State Loss 6-11 -23.65 61 4.45% Counts Feb 10th Golden Triangle Invitational
76 Purdue Loss 9-11 -3.17 56 4.7% Counts Feb 10th Golden Triangle Invitational
222 Mississippi State -B Win 10-8 -8.31 9 4.57% Counts Feb 10th Golden Triangle Invitational
139 LSU Win 13-7 23.17 13 4.7% Counts (Why) Feb 10th Golden Triangle Invitational
158 Kennesaw State Win 15-13 2.59 9 4.7% Counts Feb 10th Golden Triangle Invitational
40 Illinois Loss 10-12 8.35 18 4.7% Counts Feb 11th Golden Triangle Invitational
122 Oberlin Win 13-7 31.84 43 5.59% Counts (Why) Mar 2nd FCS D III Tune Up 2024
99 Elon Win 13-12 11.55 23 5.59% Counts Mar 2nd FCS D III Tune Up 2024
59 Whitman Loss 11-13 2.11 10 5.59% Counts Mar 2nd FCS D III Tune Up 2024
73 Richmond Loss 11-13 -2.18 20 5.59% Counts Mar 2nd FCS D III Tune Up 2024
231 Christopher Newport Win 13-9 -2.44 59 5.59% Counts Mar 3rd FCS D III Tune Up 2024
51 Franciscan Loss 6-13 -16.34 7 5.59% Counts (Why) Mar 3rd FCS D III Tune Up 2024
217 Kenyon Win 13-6 11.05 20 5.59% Counts (Why) Mar 3rd FCS D III Tune Up 2024
201 Alabama-Birmingham Win 10-8 -5.73 5 6.47% Counts Mar 23rd Magic City Invite 2024
222 Mississippi State -B Win 13-5 11.68 9 6.65% Counts (Why) Mar 23rd Magic City Invite 2024
264 Jacksonville State** Win 13-3 0 6 0% Ignored (Why) Mar 23rd Magic City Invite 2024
326 Samford** Win 13-2 0 6 0% Ignored (Why) Mar 23rd Magic City Invite 2024
268 Alabama-B Win 13-6 -3.66 6 6.65% Counts (Why) Mar 24th Magic City Invite 2024
268 Alabama-B Win 13-6 -3.66 6 6.65% Counts (Why) Mar 24th Magic City Invite 2024
201 Alabama-Birmingham Loss 12-13 -33.5 5 6.65% Counts Mar 24th Magic City Invite 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.