(2) #66 Iowa Wild Rose (6-16)

477.26 (18)

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# Opponent Result Effect % of Ranking Status Date Event
44 Crackle Loss 7-13 -2.6 3.69% Jun 30th Spirit of the Plains 2018
44 Crackle Loss 4-11 -3.87 3.38% Jun 30th Spirit of the Plains 2018
16 Heist** Loss 4-13 0 0% Ignored Aug 4th Heavyweights 2018
57 Helix Loss 7-8 3.13 4.28% Aug 4th Heavyweights 2018
73 Honey Pot Loss 11-12 -17.84 4.81% Aug 4th Heavyweights 2018
58 Stellar Loss 7-13 -18.78 4.81% Aug 4th Heavyweights 2018
75 Autonomous Win 8-5 4.66 3.98% Aug 5th Heavyweights 2018
50 Cold Cuts Loss 8-11 -1.24 4.81% Aug 5th Heavyweights 2018
74 MystiKuE Win 10-7 6.84 4.55% Aug 5th Heavyweights 2018
55 Sureshot Loss 10-13 -6.27 5.35% Aug 18th Cooler Classic 30
50 Cold Cuts Loss 8-13 -8.78 5.35% Aug 18th Cooler Classic 30
44 Crackle Loss 2-13 -6.25 5.35% Aug 18th Cooler Classic 30
70 Lady Forward Win 13-10 12.95 5.35% Aug 18th Cooler Classic 30
34 Dish** Loss 2-15 0 0% Ignored Aug 19th Cooler Classic 30
74 MystiKuE Win 15-11 7.64 5.35% Aug 19th Cooler Classic 30
74 MystiKuE Win 11-5 18.28 4.91% Aug 19th Cooler Classic 30
16 Heist** Loss 2-15 0 0% Ignored Sep 22nd North Central Womens Regional Championship 2018
50 Cold Cuts Loss 8-14 -14.66 6.99% Sep 22nd North Central Womens Regional Championship 2018
44 Crackle Loss 6-10 -0.46 6.41% Sep 22nd North Central Womens Regional Championship 2018
58 Stellar Win 12-9 39.94 6.99% Sep 23rd North Central Womens Regional Championship 2018
50 Cold Cuts Loss 3-13 -19.47 6.99% Sep 23rd North Central Womens Regional Championship 2018
44 Crackle Loss 7-10 7.07 6.61% Sep 23rd North Central Womens Regional Championship 2018
**Blowout Eligible

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.