(3) #110 Axolotls (10-9)

991.19 (12)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
173 Crucible Win 12-8 2.19 14 4.69% Counts Jun 29th LVU’s Disc Days of Summer 2024
83 PS Loss 8-10 -4.22 16 4.57% Counts Jun 29th LVU’s Disc Days of Summer 2024
213 Voltage Win 12-7 -7.08 16 4.69% Counts (Why) Jun 29th LVU’s Disc Days of Summer 2024
61 FLI Loss 7-9 1.3 17 4.31% Counts Jun 30th LVU’s Disc Days of Summer 2024
164 Philly Twist Win 11-3 12.92 17 4.31% Counts (Why) Jun 30th LVU’s Disc Days of Summer 2024
136 Garbage Pla Win 14-9 16.61 17 4.69% Counts Jun 30th LVU’s Disc Days of Summer 2024
45 Wild Card Loss 4-13 -6.42 13 5.27% Counts (Why) Jul 13th Boston Invite 2024
56 Buffalo Lake Effect Loss 3-13 -13.69 16 5.27% Counts (Why) Jul 13th Boston Invite 2024
126 Nice! Loss 6-9 -24.38 21 4.68% Counts Jul 13th Boston Invite 2024
38 Funk Loss 6-10 3.51 15 4.83% Counts Jul 13th Boston Invite 2024
189 Rainbow Win 15-10 -2.23 81 5.27% Counts Jul 14th Boston Invite 2024
52 Grand Army Loss 8-13 -5.34 15 5.27% Counts Jul 14th Boston Invite 2024
59 League of Shadows Loss 7-13 -17.91 15 7.03% Counts Aug 17th Ow My Knee 2024
136 Garbage Pla Win 13-9 21.33 17 7.03% Counts Aug 17th Ow My Knee 2024
232 yEUTH-ANd-Age-SIA** Win 13-4 0 30 0% Ignored (Why) Aug 17th Ow My Knee 2024
78 Bench Loss 11-13 -1.5 15 7.03% Counts Aug 17th Ow My Knee 2024
205 Buffalo Brain Freeze Win 13-11 -25.02 9 7.03% Counts Aug 18th Ow My Knee 2024
176 Brooklyn Hive Win 13-7 11.23 39 7.03% Counts (Why) Aug 18th Ow My Knee 2024
115 Lampshade Win 13-7 39.17 18 7.03% Counts (Why) Aug 18th Ow My Knee 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.