() #139 MOB Ultimate (5-15)

538.12 (1)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
90 John Doe Loss 5-9 -5.21 23 3.67% Counts Jun 26th MOB Invite
130 SUPA FC Loss 8-10 -5.48 1 4.16% Counts Jun 26th MOB Invite
102 Bomb Squad Loss 8-13 -7.36 1 4.27% Counts Jun 26th MOB Invite
135 Winc City Fog of War Win 11-10 8 2 4.27% Counts Jun 26th MOB Invite
102 Bomb Squad Loss 8-13 -8.23 1 4.75% Counts Jul 10th MOB Open
135 Winc City Fog of War Loss 9-13 -18.18 2 4.75% Counts Jul 10th MOB Open
38 Redwolves Loss 9-13 17.47 3 4.75% Counts Jul 10th MOB Open
48 Oakgrove Boys Loss 8-12 12.36 3 4.75% Counts Jul 10th MOB Open
114 JAWN Loss 9-13 -11.5 2 5.88% Counts Aug 6th Philly Open 2022
66 Helots Loss 6-10 3.79 1 5.4% Counts Aug 6th Philly Open 2022
48 Oakgrove Boys Loss 6-13 5.56 3 5.88% Counts (Why) Aug 6th Philly Open 2022
149 Spring Break '93 Win 12-7 22.27 0 5.88% Counts (Why) Aug 7th Philly Open 2022
97 Hazard Loss 9-11 5.86 5 5.88% Counts Aug 7th Philly Open 2022
115 Town Hall Stars Loss 3-11 -21.23 30 5.4% Counts (Why) Aug 7th Philly Open 2022
90 John Doe Loss 7-11 -6.04 23 7.47% Counts Sep 10th 2022 Capital Mens Sectional Championship
15 Vault** Loss 3-15 0 0 0% Ignored (Why) Sep 10th 2022 Capital Mens Sectional Championship
- Puzzles Loss 9-14 -41.42 16 7.68% Counts Sep 10th 2022 Capital Mens Sectional Championship
- Brackish Win 15-13 7.49 8 7.68% Counts Sep 11th 2022 Capital Mens Sectional Championship
- HB Woodlawn** Win 15-2 0 9 0% Ignored (Why) Sep 11th 2022 Capital Mens Sectional Championship
135 Winc City Fog of War Win 11-7 42.09 2 7.47% Counts Sep 11th 2022 Capital 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.