(4) #104 Iowa (12-8)

966.86 (160)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
157 Knox Win 14-3 12.28 288 6.25% Counts (Why) Mar 4th Midwest Throwdown 2023
180 Wisconsin-La Crosse** Win 13-1 0 156 0% Ignored (Why) Mar 4th Midwest Throwdown 2023
66 Kansas Loss 5-12 -19.06 149 6% Counts (Why) Mar 4th Midwest Throwdown 2023
91 Colorado College Win 10-8 22.72 145 6.08% Counts Mar 5th Midwest Throwdown 2023
52 Arkansas Loss 4-10 -9 143 5.46% Counts (Why) Mar 5th Midwest Throwdown 2023
72 Iowa State Loss 7-9 -0.96 141 5.73% Counts Mar 5th Midwest Throwdown 2023
171 Illinois Win 13-4 3.18 213 7.01% Counts (Why) Mar 18th Womens Centex1
190 Colorado-B Win 13-8 -18.22 161 7.01% Counts Mar 18th Womens Centex1
109 Texas State Win 11-7 32.74 162 6.83% Counts Mar 18th Womens Centex1
179 LSU** Win 13-4 0 160 0% Ignored (Why) Mar 18th Womens Centex1
91 Colorado College Loss 8-15 -35.95 145 7.01% Counts Mar 19th Womens Centex1
112 Rice Win 10-9 4.96 162 7.01% Counts Mar 19th Womens Centex1
70 Northwestern Loss 11-13 3.25 145 7.01% Counts Mar 19th Womens Centex1
124 Saint Louis Win 5-4 -1.21 150 5.11% Counts Mar 25th Old Capitol Open
211 Minnesota-B** Win 10-2 0 147 0% Ignored (Why) Mar 25th Old Capitol Open
138 Michigan State Loss 4-5 -20.79 138 5.11% Counts Mar 25th Old Capitol Open
68 Winona State Loss 4-6 -3.74 136 5.39% Counts Mar 25th Old Capitol Open
27 Minnesota** Loss 2-9 0 138 0% Ignored (Why) Mar 26th Old Capitol Open
105 Michigan Tech Win 7-6 7.73 121 6.15% Counts Mar 26th Old Capitol Open
142 Macalester Win 11-5 22.44 139 6.82% Counts (Why) Mar 26th Old Capitol Open
**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.