(29) #220 Hillsdale (12-7)

1050.3 (421)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
222 Ball State Loss 6-13 -28.95 238 4.56% Counts (Why) Mar 22nd Butler Spring Fling
357 Michigan State-B Win 10-8 -14.52 530 4.43% Counts Mar 23rd Butler Spring Fling
280 Western Michigan Win 9-6 8.31 326 4.05% Counts Mar 23rd Butler Spring Fling
301 Rose-Hulman Win 11-7 6.07 447 4.43% Counts Mar 23rd Butler Spring Fling
173 Xavier Loss 7-9 -4.2 260 4.18% Counts Mar 24th Butler Spring Fling
236 Loyola-Chicago Win 13-8 20.84 445 4.56% Counts Mar 24th Butler Spring Fling
316 Calvin University Win 14-8 8.37 620 5.42% Counts (Why) Apr 13th Eastern Great Lakes D III Mens Conferences 2024
151 Grace Loss 7-15 -19.4 289 5.42% Counts (Why) Apr 13th Eastern Great Lakes D III Mens Conferences 2024
273 Valparaiso Win 15-7 23.11 5.42% Counts (Why) Apr 13th Eastern Great Lakes D III Mens Conferences 2024
301 Rose-Hulman Win 10-9 -12.08 447 5.42% Counts Apr 13th Eastern Great Lakes D III Mens Conferences 2024
232 Butler Win 15-6 32.07 342 5.42% Counts (Why) Apr 14th Eastern Great Lakes D III Mens Conferences 2024
110 Davenport Loss 7-15 -10.47 250 5.42% Counts (Why) Apr 14th Eastern Great Lakes D III Mens Conferences 2024
273 Valparaiso Win 8-7 -3.62 4.81% Counts Apr 14th Eastern Great Lakes D III Mens Conferences 2024
232 Butler Loss 10-15 -31.96 342 6.08% Counts Apr 27th Great Lakes D III College Mens Regionals 2024
151 Grace Loss 7-14 -20.82 289 6.08% Counts Apr 27th Great Lakes D III College Mens Regionals 2024
294 Knox Win 12-7 13.47 307 6.08% Counts (Why) Apr 27th Great Lakes D III College Mens Regionals 2024
110 Davenport Loss 5-15 -11.83 250 6.08% Counts (Why) Apr 28th Great Lakes D III College Mens Regionals 2024
151 Grace Win 13-12 25.01 289 6.08% Counts Apr 28th Great Lakes D III College Mens Regionals 2024
273 Valparaiso Win 15-9 20.65 6.08% Counts Apr 28th Great Lakes 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.