#173 East Carolina (16-22)

avg: 1166.37  •  sd: 48.16  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
181 American Win 10-9 1263.96 Jan 25th Mid Atlantic Warm Up 2025
88 Carnegie Mellon Loss 7-9 1210.22 Jan 25th Mid Atlantic Warm Up 2025
93 Yale Loss 7-13 919.23 Jan 25th Mid Atlantic Warm Up 2025
58 James Madison Loss 6-11 1103.98 Jan 25th Mid Atlantic Warm Up 2025
116 Boston University Loss 10-13 1035.47 Jan 26th Mid Atlantic Warm Up 2025
285 Navy Win 15-4 1350.44 Jan 26th Mid Atlantic Warm Up 2025
166 Pennsylvania Loss 8-13 697.92 Jan 26th Mid Atlantic Warm Up 2025
181 American Win 12-6 1718.27 Feb 22nd Monument Melee 2025
232 George Washington Win 11-4 1524.71 Feb 22nd Monument Melee 2025
332 Villanova Win 13-2 1169.58 Feb 22nd Monument Melee 2025
238 Virginia Commonwealth Win 9-8 1030.77 Feb 23rd Monument Melee 2025
155 Johns Hopkins Win 10-9 1363.52 Feb 23rd Monument Melee 2025
140 George Mason Loss 10-12 1050 Feb 23rd Monument Melee 2025
181 American Loss 9-12 793.59 Mar 22nd Atlantic Coast Open 2025
178 Dickinson Win 9-8 1277.8 Mar 22nd Atlantic Coast Open 2025
69 North Carolina-Charlotte Loss 6-12 1025.13 Mar 22nd Atlantic Coast Open 2025
401 George Washington-B** Win 15-0 613.1 Ignored Mar 22nd Atlantic Coast Open 2025
134 Florida State Win 14-13 1435.77 Mar 23rd Atlantic Coast Open 2025
140 George Mason Win 10-9 1413.12 Mar 23rd Atlantic Coast Open 2025
115 RIT Loss 9-15 851.52 Mar 23rd Atlantic Coast Open 2025
205 North Carolina State-B Win 8-7 1165.51 Mar 29th Needle in a Ho Stack 2025
233 Georgia Southern Win 12-8 1359.75 Mar 29th Needle in a Ho Stack 2025
82 Tennessee Loss 7-13 968.34 Mar 29th Needle in a Ho Stack 2025
265 Georgia-B Win 10-4 1406.18 Mar 29th Needle in a Ho Stack 2025
99 Tennessee-Chattanooga Loss 11-12 1328.61 Mar 30th Needle in a Ho Stack 2025
233 Georgia Southern Loss 8-11 552.99 Mar 30th Needle in a Ho Stack 2025
198 North Carolina-B Loss 5-11 461.64 Mar 30th Needle in a Ho Stack 2025
124 Clemson Win 10-7 1733.65 Apr 12th Carolina D I Mens Conferences 2025
63 Duke Loss 9-13 1214.11 Apr 12th Carolina D I Mens Conferences 2025
63 Duke Loss 1-13 1032.68 Apr 12th Carolina D I Mens Conferences 2025
48 North Carolina-Wilmington Loss 7-13 1173.73 Apr 12th Carolina D I Mens Conferences 2025
168 Charleston Win 14-10 1590.39 Apr 13th Carolina D I Mens Conferences 2025
124 Clemson Loss 9-15 828.5 Apr 13th Carolina D I Mens Conferences 2025
124 Clemson Loss 10-13 1015.84 Apr 26th Atlantic Coast D I College Mens Regionals 2025
52 William & Mary Loss 7-14 1110.66 Apr 26th Atlantic Coast D I College Mens Regionals 2025
29 Virginia** Loss 6-15 1261.99 Ignored Apr 26th Atlantic Coast D I College Mens Regionals 2025
55 Maryland Loss 10-12 1439.25 Apr 26th Atlantic Coast D I College Mens Regionals 2025
111 Liberty Loss 11-12 1263.97 Apr 27th Atlantic Coast D I College Mens Regionals 2025
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
The uncertainty of the mean is equal to the standard deviation of the set of game ratings, divided by the square root of the number of games. We treated a team’s ranking as a normally distributed random variable, with the USAU ranking as the mean and the uncertainty of the ranking as the standard deviation
What's the algorithm again?
  1. Calculate uncertainy for USAU ranking averge
  2. Model ranking as a normal distribution around USAU averge with standard deviation equal to uncertainty
  3. Simulate seasons by drawing a rank for each team from their distribution. Note the teams in the top 16 (club) or top 20 (college)
  4. Sum the fractions for each region for how often each of it's teams appeared in the top 16 (club) or top 20 (college)
  5. Subtract one from each fraction for "autobids"
  6. Award remainings bids to the regions with the highest remaining fraction, subtracting one from the fraction each time a bid is awarded
Is there a longer explanation of all this?
There is an article on Ulitworld written by Scott Dunham and I that gives a little more context (though it probably was the thing that linked you here)