(48) #183 Stevens Tech (8-3)

997.59 (202)

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# Opponent Result Effect % of Ranking Status Date Event
203 Rochester Win 10-9 5.71 8.94% Feb 24th Bring the Huckus 9
- Catholic Win 10-8 -8.1 8.7% Feb 24th Bring the Huckus 9
83 Middlebury Loss 9-12 6.25 8.94% Feb 24th Bring the Huckus 9
204 SUNY-Geneseo Win 10-9 5.2 8.94% Feb 24th Bring the Huckus 9
254 New Hampshire Win 13-3 46.08 11.27% Mar 24th Jersey Devil 7
325 College of New Jersey Win 13-2 11.47 11.27% Mar 24th Jersey Devil 7
390 SUNY-Binghamton-B** Win 13-1 0 0% Ignored Mar 24th Jersey Devil 7
166 MIT Loss 6-9 -38.89 10.01% Mar 25th Jersey Devil 7
166 MIT Win 9-6 54.22 10.01% Mar 25th Jersey Devil 7
302 Salisbury Win 9-8 -35.55 10.66% Mar 25th Jersey Devil 7
132 Columbia University Loss 7-13 -46.59 11.27% Mar 25th Jersey Devil 7
**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.