(3) #354 Indiana-B (0-7)

10.31 (116)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
205 Ball State Loss 5-10 42.24 216 16.01% Counts Mar 23rd Butler Spring Fling
155 Grace** Loss 1-13 0 78 0% Ignored (Why) Mar 23rd Butler Spring Fling
319 Purdue-B Loss 5-10 -61.36 125 16.01% Counts Mar 23rd Butler Spring Fling
262 Loyola-Chicago Loss 8-11 37.38 100 18.02% Counts Mar 23rd Butler Spring Fling
242 Butler Loss 7-10 55.14 68 17.04% Counts Mar 24th Butler Spring Fling
305 Penn State-Behrend Loss 8-13 -38.92 112 18.02% Counts Mar 24th Butler Spring Fling
364 Michigan State-B Loss 6-7 -33.4 77 14.9% Counts Mar 24th Butler Spring Fling
**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.