(8) #357 Lehigh-B (4-13)

-112.12 (38)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
360 Rutgers-B Win 8-7 7.31 42 7.93% Counts Feb 26th Bring The Huckus 12
373 Stevens Tech-B Win 10-4 20.91 41 7.8% Counts (Why) Feb 26th Bring The Huckus 12
369 SUNY-Albany-B Win 8-4 25.4 42 7.09% Counts (Why) Feb 26th Bring The Huckus 12
311 Edinboro Loss 5-10 -14.63 63 7.93% Counts Feb 26th Bring The Huckus 12
252 Penn State-B** Loss 2-13 0 93 0% Ignored (Why) Feb 27th Bring The Huckus 12
360 Rutgers-B Loss 6-7 -16.94 42 9.3% Counts Mar 26th Garden State 2022
367 Muhlenberg College Win 8-7 -7.83 40 9.99% Counts Mar 26th Garden State 2022
348 New Jersey Tech Loss 6-10 -41.35 40 10.32% Counts Mar 26th Garden State 2022
348 New Jersey Tech Loss 0-13 -58.69 40 11.25% Counts (Why) Mar 27th Garden State 2022
135 Scranton** Loss 3-15 0 51 0% Ignored (Why) Apr 16th East Penn D III College Mens CC 2022
220 Swarthmore** Loss 5-15 0 85 0% Ignored (Why) Apr 16th East Penn D III College Mens CC 2022
291 Haverford Loss 9-11 41.55 47 13.37% Counts Apr 16th East Penn D III College Mens CC 2022
232 Messiah** Loss 5-15 0 30 0% Ignored (Why) Apr 30th Ohio Valley D III College Mens Regionals 2022
238 Grove City** Loss 1-15 0 46 0% Ignored (Why) Apr 30th Ohio Valley D III College Mens Regionals 2022
215 Wooster Loss 8-15 46.42 3 15.01% Counts Apr 30th Ohio Valley D III College Mens Regionals 2022
232 Messiah** Loss 6-15 0 30 0% Ignored (Why) May 1st Ohio Valley D III College Mens Regionals 2022
212 Kenyon** Loss 2-15 0 46 0% Ignored (Why) May 1st Ohio Valley D III College Mens Regionals 2022
**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.