(5) #144 Nebula (8-12)

733.02 (43)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
133 Garage Sale Win 13-12 9.79 23 4.34% Counts Aug 6th Kleinman Eruption 2022
53 Oregon Scorch Loss 5-13 -1.85 47 4.34% Counts (Why) Aug 6th Kleinman Eruption 2022
162 Tricerabass Win 10-9 1.62 10 4.34% Counts Aug 6th Kleinman Eruption 2022
60 Hive Loss 10-13 6.88 26 4.34% Counts Aug 6th Kleinman Eruption 2022
90 Garden Party Loss 6-15 -13.75 44 4.34% Counts (Why) Aug 7th Kleinman Eruption 2022
110 Squid Inc. Loss 9-13 -12.2 14 5.09% Counts Aug 27th Spawnfest 2022
145 Garbage Loss 12-13 -7.09 19 5.09% Counts Aug 27th Spawnfest 2022
162 Tricerabass Win 12-10 7.98 10 5.09% Counts Aug 27th Spawnfest 2022
145 Garbage Win 13-12 6.32 19 5.09% Counts Aug 28th Spawnfest 2022
110 Squid Inc. Loss 12-13 3.54 14 5.09% Counts Aug 28th Spawnfest 2022
- SkyLab Win 13-9 -14.27 30 5.66% Counts Sep 10th 2022 Oregon Mixed Sectional Championship
133 Garage Sale Loss 9-12 -15.28 23 5.66% Counts Sep 10th 2022 Oregon Mixed Sectional Championship
200 Drip Win 13-3 9.23 21 5.66% Counts (Why) Sep 10th 2022 Oregon Mixed Sectional Championship
133 Garage Sale Win 11-9 20.41 23 5.66% Counts Sep 10th 2022 Oregon Mixed Sectional Championship
90 Garden Party Win 13-12 25.31 44 5.66% Counts Sep 11th 2022 Oregon Mixed Sectional Championship
53 Oregon Scorch Loss 6-15 -2.44 47 5.66% Counts (Why) Sep 11th 2022 Oregon Mixed Sectional Championship
2 BFG** Loss 4-15 0 87 0% Ignored (Why) Sep 24th 2022 Northwest Mixed Regional Championship
92 Pegasus Loss 11-12 10.52 51 6.3% Counts Sep 24th 2022 Northwest Mixed Regional Championship
162 Tricerabass Loss 9-10 -14.41 10 6.3% Counts Sep 24th 2022 Northwest Mixed Regional Championship
110 Squid Inc. Loss 8-13 -20.51 14 6.3% Counts Sep 25th 2022 Northwest Mixed Regional 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.