(2) #139 LSU (7-11)

1084.6 (13)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
50 Alabama Loss 7-9 6.54 3 4.54% Counts Feb 10th Golden Triangle Invitational
119 Berry Loss 7-13 -24.43 6 4.94% Counts Feb 10th Golden Triangle Invitational
158 Kennesaw State Win 11-8 15.17 9 4.94% Counts Feb 10th Golden Triangle Invitational
105 Mississippi State Loss 11-12 0.06 61 4.94% Counts Feb 10th Golden Triangle Invitational
264 Jacksonville State Win 13-8 -2.43 6 4.94% Counts Feb 11th Golden Triangle Invitational
41 Florida Loss 6-9 3.52 4 4.93% Counts Feb 24th Mardi Gras XXXVI college
91 Indiana Loss 8-11 -10.54 100 5.55% Counts Feb 24th Mardi Gras XXXVI college
230 Texas State Win 10-7 1.08 3 5.25% Counts Feb 24th Mardi Gras XXXVI college
261 Texas Tech Win 13-3 4.14 14 5.55% Counts (Why) Feb 24th Mardi Gras XXXVI college
132 Arkansas Loss 9-10 -5.74 34 5.55% Counts Feb 25th Mardi Gras XXXVI college
97 Florida State Win 11-5 40.94 0 5.09% Counts (Why) Feb 25th Mardi Gras XXXVI college
220 Sam Houston Win 11-5 13.86 35 5.09% Counts (Why) Feb 25th Mardi Gras XXXVI college
128 Colorado College Loss 9-13 -25.94 232 6.6% Counts Mar 16th College Mens Centex Tier 1
55 Michigan State Loss 9-12 2.53 43 6.6% Counts Mar 16th College Mens Centex Tier 1
48 Missouri Loss 5-11 -10.95 13 6.05% Counts (Why) Mar 16th College Mens Centex Tier 1
37 Texas A&M Loss 5-13 -6.62 2 6.6% Counts (Why) Mar 16th College Mens Centex Tier 1
67 Chicago Loss 3-13 -21.02 40 6.6% Counts (Why) Mar 17th College Mens Centex Tier 1
98 Dartmouth Win 9-8 19.04 16 6.24% Counts Mar 17th College Mens Centex Tier 1
**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.