(1) #162 Scoop (4-14)

244.82 (2)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
96 Dyno** Loss 4-11 0 13 0% Ignored (Why) Jul 23rd Filling the Void
154 Queen City Kings Loss 10-11 -2.05 9 6.69% Counts Jul 23rd Filling the Void
110 Tennessee Folklore Loss 3-11 -2.88 12 6.14% Counts (Why) Jul 23rd Filling the Void
100 Charleston Heat Stroke** Loss 2-11 0 12 0% Ignored (Why) Jul 23rd Filling the Void
54 Brickhouse** Loss 4-11 0 8 0% Ignored (Why) Jul 24th Filling the Void
144 Nashville Mudcats Loss 11-13 3.35 8 6.69% Counts Jul 24th Filling the Void
154 Queen City Kings Loss 8-11 -19.3 9 6.69% Counts Jul 24th Filling the Void
171 FLI-B Honeybees Win 13-7 24.27 0 8.73% Counts (Why) Aug 27th The Incident 2022
149 Spring Break '93 Loss 10-12 -10.43 0 8.73% Counts Aug 27th The Incident 2022
40 Lantern** Loss 3-13 0 3 0% Ignored (Why) Aug 27th The Incident 2022
170 Deepfake Win 13-4 36.43 1 8.73% Counts (Why) Aug 27th The Incident 2022
52 CITYWIDE Special** Loss 1-13 0 2 0% Ignored (Why) Aug 28th The Incident 2022
167 Odyssey Win 13-11 9.62 1 8.73% Counts Aug 28th The Incident 2022
12 Omen** Loss 1-15 0 34 0% Ignored (Why) Sep 10th 2022 East Plains Mens Sectional Championship
111 Flying Dutchmen Loss 6-15 -4.98 65 9.72% Counts (Why) Sep 10th 2022 East Plains Mens Sectional Championship
- Rotisserie Chicken Win 15-3 20.49 6 9.72% Counts (Why) Sep 11th 2022 East Plains Mens Sectional Championship
- Cedarville Swarm Loss 11-13 -12.57 13 9.72% Counts Sep 11th 2022 East Plains Mens Sectional Championship
- Big Booty Men Loss 9-15 -41.88 23 9.72% Counts Sep 11th 2022 East Plains Mens 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.