(18) #135 Oakgrove Boys (6-11)

866.96 (27)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
111 Fathom Loss 4-11 -23.06 97 4.47% Counts (Why) Jul 20th Stonewalled 2019
199 Winc City Fog of War Win 11-5 9.24 13 4.47% Counts (Why) Jul 20th Stonewalled 2019
26 Blueprint Loss 6-11 6.59 62 4.61% Counts Jul 20th Stonewalled 2019
178 Bomb Squad Win 13-9 8.92 49 4.87% Counts Jul 21st Stonewalled 2019
- Foggy Bottom Boys Win 11-9 12.63 75 4.87% Counts Jul 21st Stonewalled 2019
38 Garden State Ultimate Loss 7-13 1.85 17 5.71% Counts Aug 10th Chesapeake Open 2019
59 Big Wrench Loss 7-13 -9.27 55 5.71% Counts Aug 10th Chesapeake Open 2019
24 Brickhouse Loss 7-13 8.71 7 5.71% Counts Aug 10th Chesapeake Open 2019
22 Vault Loss 8-13 18.35 5 5.71% Counts Aug 10th Chesapeake Open 2019
42 Shade Loss 4-13 -3.45 20 5.71% Counts (Why) Aug 11th Chesapeake Open 2019
49 El Niño Loss 5-15 -7.21 16 5.71% Counts (Why) Aug 11th Chesapeake Open 2019
107 John Doe Loss 9-13 -21.2 81 7.07% Counts Sep 7th Capital Mens Club Sectional Championship 2019
199 Winc City Fog of War Win 13-6 15.04 13 7.07% Counts (Why) Sep 7th Capital Mens Club Sectional Championship 2019
75 Richmond Floodwall Loss 7-13 -19.74 107 7.07% Counts Sep 7th Capital Mens Club Sectional Championship 2019
111 Fathom Win 13-11 25.56 97 7.07% Counts Sep 8th Capital Mens Club Sectional Championship 2019
213 Hail Mary Win 13-4 7.82 182 7.07% Counts (Why) Sep 8th Capital Mens Club Sectional Championship 2019
98 Town Hall Stars Loss 4-13 -31.2 81 7.07% Counts (Why) Sep 8th Capital Mens Club Sectional Championship 2019
**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.