() #51 Needham Squad (9-11)

1200.46 (3)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
62 Iditarod Loss 10-12 -12.48 4 3.92% Counts Jul 16th Boston Invite 2022
9 DiG Loss 7-15 2.97 1 3.92% Counts (Why) Jul 16th Boston Invite 2022
24 TireBizFriz Loss 10-14 -2.43 35 3.92% Counts Jul 16th Boston Invite 2022
44 Red Tide Win 13-9 19.28 3 3.92% Counts Jul 16th Boston Invite 2022
62 Iditarod Win 13-8 17.51 4 3.92% Counts Jul 17th Boston Invite 2022
44 Red Tide Loss 10-12 -7.54 3 3.92% Counts Jul 17th Boston Invite 2022
77 Magma Bears Loss 10-13 -30.75 3 5.4% Counts Aug 27th The Incident 2022
131 7AM Win 13-4 3.61 2 5.4% Counts (Why) Aug 27th The Incident 2022
167 Odyssey** Win 13-4 0 1 0% Ignored (Why) Aug 27th The Incident 2022
40 Lantern Loss 10-15 -20.14 3 5.4% Counts Aug 28th The Incident 2022
149 Spring Break '93 Win 15-9 -17.76 0 5.4% Counts Aug 28th The Incident 2022
102 Bomb Squad Win 13-7 12.93 1 5.4% Counts (Why) Aug 28th The Incident 2022
53 BAG Win 13-8 30.57 2 6.01% Counts Sep 10th 2022 East New England Mens Sectional Championship
9 DiG Loss 8-15 6.9 1 6.01% Counts Sep 10th 2022 East New England Mens Sectional Championship
29 Big Wrench Win 13-9 43.05 4 6.01% Counts Sep 10th 2022 East New England Mens Sectional Championship
134 MBTA Win 15-2 0.18 1 6.01% Counts (Why) Sep 10th 2022 East New England Mens Sectional Championship
40 Lantern Loss 12-15 -12.75 3 6.01% Counts Sep 11th 2022 East New England Mens Sectional Championship
- Red Circus Loss 13-15 -4.66 3 6.01% Counts Sep 11th 2022 East New England Mens Sectional Championship
53 BAG Loss 10-14 -29.88 2 6.69% Counts Sep 24th 2022 Northeast Mens Regional Championship
- Red Circus Loss 11-12 1.16 3 6.69% Counts Sep 24th 2022 Northeast Mens 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.