(13) #77 Iowa State (14-6)

1350.03 (79)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
256 Illinois-B** Win 13-3 0 41 0% Ignored (Why) Mar 1st Midwest Throwdown 2025
154 Macalester Win 13-10 1.24 6 5.56% Counts Mar 1st Midwest Throwdown 2025
309 Washington University-B** Win 13-2 0 0 0% Ignored (Why) Mar 1st Midwest Throwdown 2025
265 St John's (Minnesota) Win 13-10 -27.62 290 5.56% Counts Mar 2nd Midwest Throwdown 2025
86 Marquette Loss 9-10 -9.57 22 5.56% Counts Mar 2nd Midwest Throwdown 2025
82 St Olaf Loss 6-9 -23.27 9 4.94% Counts Mar 2nd Midwest Throwdown 2025
154 Macalester Win 11-5 15.76 6 5.1% Counts (Why) Mar 2nd Midwest Throwdown 2025
268 Harding** Win 13-4 0 68 0% Ignored (Why) Mar 15th Mens Centex 2025
107 Iowa Win 13-7 28.63 59 6.24% Counts (Why) Mar 15th Mens Centex 2025
258 Trinity** Win 13-0 0 83 0% Ignored (Why) Mar 15th Mens Centex 2025
136 North Texas Win 13-8 17.09 38 6.24% Counts Mar 15th Mens Centex 2025
129 Arizona State Win 15-11 10.37 8 6.24% Counts Mar 16th Mens Centex 2025
93 Colorado-B Win 13-3 35.31 41 6.24% Counts (Why) Mar 16th Mens Centex 2025
46 Middlebury Loss 12-15 -3.51 7 6.24% Counts Mar 16th Mens Centex 2025
104 Alabama Win 12-7 30.86 10 7.01% Counts (Why) Mar 29th Huck Finn 2025
63 Notre Dame Loss 9-15 -30.6 277 7.01% Counts Mar 29th Huck Finn 2025
194 Saint Louis Win 14-6 7.68 10 7.01% Counts (Why) Mar 29th Huck Finn 2025
90 Missouri S&T Win 14-13 5.3 72 7.01% Counts Mar 29th Huck Finn 2025
67 Indiana Loss 11-13 -10.22 51 7.01% Counts Mar 30th Huck Finn 2025
82 St Olaf Loss 6-13 -47.41 9 7.01% Counts (Why) Mar 30th Huck Finn 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.