() #199 Messiah (7-13)

832.24 (7)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
125 Davidson Loss 9-10 8.7 6 4.4% Counts Feb 17th Commonwealth Cup Weekend 1 2024
216 North Carolina State-B Win 12-5 23.26 9 4.22% Counts (Why) Feb 17th Commonwealth Cup Weekend 1 2024
296 South Carolina-B Win 11-5 5.75 4 4.03% Counts (Why) Feb 17th Commonwealth Cup Weekend 1 2024
102 Davenport Win 12-10 28.65 44 4.4% Counts Feb 18th Commonwealth Cup Weekend 1 2024
58 Maryland Loss 9-12 12.2 25 4.4% Counts Feb 18th Commonwealth Cup Weekend 1 2024
116 Liberty Loss 7-13 -9.51 8 4.4% Counts Feb 18th Commonwealth Cup Weekend 1 2024
242 Butler Win 13-11 3.37 68 4.93% Counts Mar 2nd FCS D III Tune Up 2024
99 Elon Loss 9-13 -0.43 23 4.93% Counts Mar 2nd FCS D III Tune Up 2024
174 North Carolina-Asheville Loss 9-13 -16.31 12 4.93% Counts Mar 2nd FCS D III Tune Up 2024
80 Lewis & Clark Loss 5-13 -4.8 16 4.93% Counts (Why) Mar 2nd FCS D III Tune Up 2024
231 Christopher Newport Win 13-11 5.67 59 4.93% Counts Mar 3rd FCS D III Tune Up 2024
226 Embry-Riddle Win 13-12 1.18 0 4.93% Counts Mar 3rd FCS D III Tune Up 2024
179 Missouri S&T Loss 11-13 -8.15 36 4.93% Counts Mar 3rd FCS D III Tune Up 2024
198 Delaware Loss 7-10 -22.75 7 5.55% Counts Mar 23rd Garden State 2024
166 Villanova Loss 9-10 0.08 19 5.87% Counts Mar 23rd Garden State 2024
152 West Chester Loss 7-10 -11.48 34 5.55% Counts Mar 23rd Garden State 2024
198 Delaware Win 11-6 32.26 7 5.55% Counts (Why) Mar 24th Garden State 2024
203 West Virginia Loss 8-11 -23.59 22 5.87% Counts Mar 24th Garden State 2024
152 West Chester Loss 10-13 -8.34 34 5.87% Counts Mar 24th Garden State 2024
203 West Virginia Loss 7-9 -16.63 22 5.38% Counts Mar 24th Garden State 2024
**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.