() #201 Dinosaur Fancy (5-13)

277.22 (12)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
42 Chicago Parlay** Loss 1-15 0 55 0% Ignored (Why) Jul 9th Heavyweights 2022
83 Trex Mix Loss 10-15 15.92 16 4.7% Counts Jul 9th Heavyweights 2022
185 Boomtown Pandas Loss 8-11 -7.22 17 4.7% Counts Jul 9th Heavyweights 2022
151 Pixel Loss 7-13 -6.45 24 4.7% Counts Jul 9th Heavyweights 2022
157 Point of No Return Loss 9-12 2.93 11 4.7% Counts Jul 10th Heavyweights 2022
210 Frostbite Win 12-11 -4.43 14 4.7% Counts Jul 10th Heavyweights 2022
110 Three Rivers Ultimate Club** Loss 3-13 0 3 0% Ignored (Why) Aug 20th Cooler Classic 33
161 Prion Loss 7-13 -12.85 11 6.47% Counts Aug 20th Cooler Classic 33
157 Point of No Return Loss 9-11 10.76 11 6.47% Counts Aug 20th Cooler Classic 33
208 Great Minnesota Get Together Win 13-9 16.89 14 6.47% Counts Aug 20th Cooler Classic 33
181 Stackcats Loss 8-13 -17.98 11 6.47% Counts Aug 21st Cooler Classic 33
211 PanIC Win 11-8 4.78 13 6.47% Counts Aug 21st Cooler Classic 33
209 MadCity Vibes Win 13-9 15.76 15 6.47% Counts Aug 21st Cooler Classic 33
186 Mastodon Loss 9-13 -18.39 16 7.59% Counts Sep 10th 2022 Northwest Plains Mixed Sectional Championship
- Notelrac Loss 7-14 -1.28 8 7.59% Counts Sep 10th 2022 Northwest Plains Mixed Sectional Championship
179 Melt Loss 7-11 -17.12 9 7.38% Counts Sep 10th 2022 Northwest Plains Mixed Sectional Championship
136 Mousetrap Loss 2-15 -6.58 11 7.59% Counts (Why) Sep 11th 2022 Northwest Plains Mixed Sectional Championship
210 Frostbite Win 12-7 25.08 14 7.59% Counts (Why) Sep 11th 2022 Northwest Plains Mixed Sectional Championship
**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.