(10) #173 Xavier (19-12)

1233.43 (260)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
291 Pacific Lutheran Win 13-4 2.98 318 2.53% Counts (Why) Feb 10th DIII Grand Prix
81 Lewis & Clark Win 10-8 15.54 248 2.46% Counts Feb 10th DIII Grand Prix
52 Whitman Loss 4-13 -1.99 320 2.53% Counts (Why) Feb 10th DIII Grand Prix
276 Whitworth Win 13-1 5.51 366 2.53% Counts (Why) Feb 10th DIII Grand Prix
235 Claremont Loss 7-9 -12.28 292 2.32% Counts Feb 11th DIII Grand Prix
178 Portland Win 10-8 6 347 2.46% Counts Feb 11th DIII Grand Prix
239 Reed Win 12-8 5.11 567 2.53% Counts Feb 11th DIII Grand Prix
232 Butler Win 13-6 11.67 342 3% Counts (Why) Mar 2nd FCS D III Tune Up 2024
209 Christopher Newport Win 13-8 10.66 369 3% Counts Mar 2nd FCS D III Tune Up 2024
114 Davidson Loss 6-11 -10.03 291 2.84% Counts Mar 2nd FCS D III Tune Up 2024
172 Union (Tennessee) Loss 5-13 -18.57 143 3% Counts (Why) Mar 2nd FCS D III Tune Up 2024
84 Elon Loss 10-13 0.46 334 3% Counts Mar 3rd FCS D III Tune Up 2024
129 Michigan Tech Loss 8-13 -10.76 208 3% Counts Mar 3rd FCS D III Tune Up 2024
153 Missouri S&T Win 13-7 19.49 401 3% Counts (Why) Mar 3rd FCS D III Tune Up 2024
232 Butler Win 12-10 0.55 342 3.57% Counts Mar 23rd Butler Spring Fling
357 Michigan State-B** Win 13-5 0 530 0% Ignored (Why) Mar 23rd Butler Spring Fling
323 Purdue-B** Win 13-5 0 368 0% Ignored (Why) Mar 23rd Butler Spring Fling
280 Western Michigan Win 13-6 7.23 326 3.57% Counts (Why) Mar 23rd Butler Spring Fling
220 Hillsdale Win 9-7 3.26 421 3.28% Counts Mar 24th Butler Spring Fling
301 Rose-Hulman Win 11-6 0.96 447 3.38% Counts (Why) Mar 24th Butler Spring Fling
236 Loyola-Chicago Win 13-2 13.24 445 3.57% Counts (Why) Mar 24th Butler Spring Fling
86 Cedarville Loss 7-10 -2.83 200 4.02% Counts Apr 13th Ohio D III Mens Conferences 2024
68 Franciscan Loss 9-12 3.62 164 4.25% Counts Apr 13th Ohio D III Mens Conferences 2024
168 Kenyon Loss 4-13 -25.78 493 4.25% Counts (Why) Apr 13th Ohio D III Mens Conferences 2024
123 Oberlin Win 12-11 12.79 244 4.25% Counts Apr 13th Ohio D III Mens Conferences 2024
86 Cedarville Loss 7-11 -7.05 200 4.64% Counts Apr 27th Ohio Valley D III College Mens Regionals 2024
123 Oberlin Loss 5-13 -21.87 244 4.77% Counts (Why) Apr 27th Ohio Valley D III College Mens Regionals 2024
171 Scranton Loss 6-7 -4.94 475 3.94% Counts Apr 27th Ohio Valley D III College Mens Regionals 2024
318 Swarthmore Win 11-10 -22.68 331 4.77% Counts Apr 27th Ohio Valley D III College Mens Regionals 2024
174 Grove City Win 13-8 24.42 4.77% Counts Apr 28th Ohio Valley D III College Mens Regionals 2024
234 Haverford Win 10-9 -5.45 163 4.77% Counts Apr 28th Ohio Valley D III College Mens Regionals 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.