#217 George Washington (7-16)

avg: 1058.5  •  sd: 67.67  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
215 East Carolina Loss 6-10 569.43 Feb 24th Monument Melee
202 George Mason Win 9-8 1241.33 Feb 24th Monument Melee
170 Villanova Loss 7-11 785.07 Feb 24th Monument Melee
289 Drexel Win 13-7 1327.2 Feb 25th Monument Melee
215 East Carolina Loss 10-11 940.59 Feb 25th Monument Melee
147 Maryland-Baltimore County Loss 8-9 1190.87 Feb 25th Monument Melee
72 Appalachian State Loss 6-9 1210.09 Mar 2nd Oak Creek Challenge 2024
126 Towson Loss 3-13 789.09 Mar 2nd Oak Creek Challenge 2024
166 RIT Loss 7-13 710.29 Mar 2nd Oak Creek Challenge 2024
289 Drexel Win 13-6 1369.67 Mar 3rd Oak Creek Challenge 2024
148 Johns Hopkins Loss 6-11 768.42 Mar 3rd Oak Creek Challenge 2024
150 West Chester Loss 8-13 818.37 Mar 3rd Oak Creek Challenge 2024
226 American Win 13-11 1261.96 Mar 30th Atlantic Coast Open 2024
209 Christopher Newport Win 15-6 1681.48 Mar 30th Atlantic Coast Open 2024
244 Dickinson Win 15-1 1579.09 Mar 30th Atlantic Coast Open 2024
97 Lehigh Loss 5-15 926.34 Mar 30th Atlantic Coast Open 2024
204 Virginia Commonwealth Win 14-8 1644.01 Mar 31st Atlantic Coast Open 2024
148 Johns Hopkins Loss 8-15 750.31 Mar 31st Atlantic Coast Open 2024
175 Delaware Loss 8-15 657.07 Apr 20th Colonial D I Mens Conferences 2024
126 Towson Loss 10-13 1060.95 Apr 20th Colonial D I Mens Conferences 2024
87 Georgetown Loss 10-12 1316.28 Apr 20th Colonial D I Mens Conferences 2024
226 American Loss 12-15 732.63 Apr 21st Colonial D I Mens Conferences 2024
148 Johns Hopkins Loss 9-13 896.55 Apr 21st Colonial D I Mens Conferences 2024
**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)