(14) #268 Ithaca (5-6)

787.4 (43)

Click on column to sort  • 
# Opponent Result Effect % of Ranking Status Date Event
193 Colgate Loss 8-9 10.88 9.86% Mar 23rd Spring Awakening 8
96 Bowdoin Win 6-5 60.77 7.93% Mar 23rd Spring Awakening 8
223 Rensselaer Polytech Loss 5-10 -45.39 9.26% Mar 23rd Spring Awakening 8
293 Wentworth Loss 10-11 -24.56 10.42% Mar 23rd Spring Awakening 8
281 Skidmore Win 12-8 46.94 10.42% Mar 24th Spring Awakening 8
193 Colgate Loss 4-13 -43.71 10.42% Mar 24th Spring Awakening 8
392 Emerson Win 13-8 -2.44 11.04% Mar 30th Uprising 8
432 SUNY-Buffalo-B** Win 13-2 0 0% Ignored Mar 30th Uprising 8
281 Skidmore Win 10-7 41.05 10.45% Mar 30th Uprising 8
190 Maine Loss 4-9 -36.43 9.14% Mar 30th Uprising 8
210 Rochester Loss 11-13 -7.82 11.04% Mar 31st Uprising 8
**Blowout Eligible


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.