College Men's USAU Rankings (SE)

2017-18 Season

Updated with Score Reporter data as of March 31 at 8:30pm EDT

FAQ
Division I // Division III
Rank Change Team Record Rating Change Region Div   SoS Contrib Score Contrib Score % of Sos
9 Georgia SE 1 8-4 1949.28 12 Southeast D-I 1790.05 159.23 0.09
11 10 Emory SE 2 8-4 1920.68 111 Southeast D-I 1656.38 264.29 0.16
14 2 Florida SE 3 18-7 1886.82 26 Southeast D-I 1740.58 146.23 0.08
23 4 Georgia Tech 17-4 1743.96 4 Southeast D-I 1478.75 265.22 0.18
30 5 Auburn 11-8 1709.26 47 Southeast D-I 1630.38 78.89 0.05
31 6 LSU 10-10 1699.56 53 Southeast D-I 1737.66 -38.1 -0.02
37 2 Central Florida 10-15 1634.75 2 Southeast D-I 1715.04 -80.28 -0.05
63 3 Tulane 11-9 1463.68 0 Southeast D-I 1458.47 5.2 0
66 3 Kennesaw State 17-5 1458.01 5 Southeast D-I 1287.73 170.28 0.13
75 22 Tennessee-Chattanooga 16-9 1415.67 83 Southeast D-I 1307.46 108.21 0.08
81 24 Florida State 8-12 1408.72 100 Southeast D-I 1472.69 -63.96 -0.04
88 8 Alabama-Huntsville 12-8 1388.31 15 Southeast D-I 1333.96 54.34 0.04
97 2 Alabama 17-8 1347.93 9 Southeast D-I 1154.95 192.97 0.17
120 11 Mississippi State 17-8 1261.29 14 Southeast D-I 1056.83 204.46 0.19
122 11 Tennessee 13-3 1255.55 17 Southeast D-I 977.2 278.35 0.28
125 3 Georgia College 11-3 1215.81 11 Southeast D-III 1018.25 197.56 0.19
140 7 Florida Tech 6-7 1167.47 8 Southeast D-III 1176.28 -8.81 -0.01
154 Mississippi 8-5 1114.56 19 Southeast D-I 969.24 145.32 0.15
155 6 Vanderbilt 11-7 1112.8 3 Southeast D-I 919.84 192.96 0.21
168 11 South Florida 2-12 1063.99 9 Southeast D-I 1402.04 -338.05 -0.24
185 7 Georgia-B 6-4 983.95 12 Southeast Dev 859.5 124.45 0.14
189 8 Georgia State 7-4 979.81 19 Southeast D-I 878.34 101.47 0.12
207 9 Florida-B 16-6 920.75 21 Southeast Dev 738.01 182.74 0.25
216 11 North Florida 11-2 897.6 20 Southeast D-I 541.2 356.4 0.66
224 12 Georgia Southern 7-20 861.24 7 Southeast D-I 1061.08 -199.84 -0.19
230 2 Florida State-B 10-3 828.17 20 Southeast Dev 616.25 211.91 0.34
231 7 Alabama-Birmingham 8-16 821.08 4 Southeast D-I 1011.38 -190.31 -0.19
236 6 Middle Tennessee State 4-7 800.25 1 Southeast D-I 968.88 -168.63 -0.17
242 6 Samford 9-8 786.01 13 Southeast D-III 794.02 -8.01 -0.01
244 4 Berry 5-8 783.64 13 Southeast D-III 857.29 -73.65 -0.09
248 5 North Georgia 6-7 774.33 18 Southeast D-III 796.42 -22.09 -0.03
264 9 LSU-B 5-7 734.8 17 Southeast Dev 831.82 -97.02 -0.12
265 1 Union (Tennessee) 4-6 733.24 56 Southeast D-III 736.12 -2.88 0
272 16 Miami 6-17 701.69 14 Southeast D-I 903.23 -201.54 -0.22
292 13 Central Florida-B 7-8 607.04 19 Southeast Dev 579.94 27.1 0.05
295 15 Georgia Tech-B 6-7 596.6 10 Southeast Dev 704.71 -108.11 -0.15
309 22 Embry-Riddle (Florida) 7-7 557.4 20 Southeast D-III 559.98 -2.58 0
315 21 Florida Gulf Coast 4-3 529.28 16 Southeast D-I 537.36 -8.08 -0.02
335 21 Southern Mississippi 2-12 428.37 14 Southeast D-I 802.03 -373.67 -0.47
340 23 Stetson 2-11 410.63 9 Southeast D-III 607.16 -196.52 -0.32
352 20 Belmont 1-8 358.54 1 Southeast D-III 722.48 -363.94 -0.5
367 26 Florida Atlantic 2-6 315.73 20 Southeast D-I 522.81 -207.08 -0.4
375 26 Memphis 1-10 281.84 19 Southeast D-I 696.63 -414.79 -0.6
376 28 Tulane-B 4-8 278 13 Southeast Dev 370.53 -92.53 -0.25
381 23 Georgia Gwinnett 1-5 215.23 4 Southeast D-I 365.85 -150.62 -0.41
399 23 Florida Polytechnic University 1-5 54.84 15 Southeast D-III 392.42 -337.58 -0.86
406 21 South Florida-B 2-11 -42.48 19 Southeast Dev 287.97 -330.45 -1.15
410 22 Florida Tech-B 2-12 -74.24 20 Southeast Dev 332.35 -406.59 -1.22
418 22 Kennesaw State-B 0-12 -154.8 9 Southeast D-I 379.55 -534.35 -1.41
431 20 Alabama-B 0-6 -490.37 105 Southeast Dev 109.63 -600 -5.47

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.