(14) #259 Drexel (12-6)

578.78 (56)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
223 Colby Loss 6-9 -18.43 103 5.96% Counts Feb 22nd Bring The Huckus 2025
333 Connecticut-B Win 8-6 -3.69 191 5.76% Counts Feb 22nd Bring The Huckus 2025
275 SUNY-Geneseo Win 8-6 12.38 117 5.76% Counts Feb 22nd Bring The Huckus 2025
372 West Chester-B** Win 12-4 0 21 0% Ignored (Why) Feb 22nd Bring The Huckus 2025
349 Lehigh-B Win 11-2 8.87 42 6.15% Counts (Why) Feb 23rd Bring The Huckus 2025
372 West Chester-B Win 10-5 -5.21 21 5.96% Counts (Why) Feb 23rd Bring The Huckus 2025
275 SUNY-Geneseo Win 7-4 21.42 117 5.1% Counts (Why) Feb 23rd Bring The Huckus 2025
391 Denison** Win 13-0 0 111 0% Ignored (Why) Mar 1st Huckin in the Hills XI
164 Ohio Loss 6-8 6.34 115 6.1% Counts Mar 1st Huckin in the Hills XI
320 Penn State-Behrend Win 8-3 17.23 90 5.53% Counts (Why) Mar 1st Huckin in the Hills XI
147 Butler Loss 8-13 -1.53 85 7.1% Counts Mar 2nd Huckin in the Hills XI
230 West Virginia Loss 8-9 -1.33 184 6.72% Counts Mar 2nd Huckin in the Hills XI
330 Cornell-B Win 11-9 -8.4 98 7.97% Counts Mar 15th Natalies Animal Rescue 2025
324 Villanova Win 11-9 -6.02 44 7.97% Counts Mar 15th Natalies Animal Rescue 2025
177 Towson Loss 2-13 -21.94 47 7.97% Counts (Why) Mar 15th Natalies Animal Rescue 2025
390 Siena** Win 13-4 0 180 0% Ignored (Why) Mar 15th Natalies Animal Rescue 2025
324 Villanova Win 12-7 17.49 44 7.97% Counts (Why) Mar 16th Natalies Animal Rescue 2025
177 Towson Loss 7-13 -18.26 47 7.97% Counts Mar 16th Natalies Animal Rescue 2025
**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.