(3) #39 H.I.P (23-3)

1531.51 (20)

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# Opponent Result Effect % of Ranking Status Date Event
181 Alamode** Win 13-2 0 0% Ignored Jun 29th Texas 2 Finger Mens and Womens
80 Dreadnought Win 12-9 -0.38 4.56% Jun 29th Texas 2 Finger Mens and Womens
168 E.V.I.L.** Win 13-3 0 0% Ignored Jun 29th Texas 2 Finger Mens and Womens
171 Supercell** Win 13-4 0 0% Ignored Jun 29th Texas 2 Finger Mens and Womens
91 Texas United Win 15-8 7.39 4.56% Jun 30th Texas 2 Finger Mens and Womens
78 Riverside Win 15-9 7.95 4.56% Jun 30th Texas 2 Finger Mens and Womens
27 Nitro Loss 11-13 -4.29 4.56% Jun 30th Texas 2 Finger Mens and Womens
201 Surrilic Audovice** Win 17-2 0 0% Ignored Jul 13th Riverside Classic 2019
153 Foxtrot** Win 17-7 0 0% Ignored Jul 13th Riverside Classic 2019
96 Harvey Cats Win 15-6 8.08 5.07% Jul 14th Riverside Classic 2019
65 Gaucho Win 15-7 18.54 5.07% Jul 14th Riverside Classic 2019
127 Papa Bear Win 15-13 -22.57 5.07% Jul 14th Riverside Classic 2019
199 Texas Heatwave** Win 13-4 0 0% Ignored Jul 27th PBJ 2019
78 Riverside Win 13-11 -7.2 5.64% Jul 27th PBJ 2019
201 Surrilic Audovice** Win 13-2 0 0% Ignored Jul 27th PBJ 2019
189 Quaze** Win 13-2 0 0% Ignored Jul 27th PBJ 2019
115 Gamble Win 15-7 3.28 5.64% Jul 28th PBJ 2019
147 Louisiana Second Line Win 13-9 -22.98 5.64% Jul 28th PBJ 2019
78 Riverside Win 15-9 9.95 5.64% Jul 28th PBJ 2019
48 CITYWIDE Special Win 13-11 10.64 6.28% Aug 10th Chesapeake Open 2019
37 Lost Boys Loss 8-13 -32.84 6.28% Aug 10th Chesapeake Open 2019
99 Richmond Floodwall Win 13-12 -22.83 6.28% Aug 10th Chesapeake Open 2019
52 El Niño Win 13-9 20.8 6.28% Aug 10th Chesapeake Open 2019
36 Blueprint Win 13-11 16.03 6.28% Aug 11th Chesapeake Open 2019
38 Garden State Ultimate Win 15-13 14.69 6.28% Aug 11th Chesapeake Open 2019
22 Vault Loss 12-15 -4.41 6.28% Aug 11th Chesapeake Open 2019
**Blowout Eligible

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.