#247 George Washington (5-7)

avg: 625.89  •  sd: 87.13  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
180 American Loss 7-8 780.74 Feb 22nd Monument Melee 2025
184 East Carolina Loss 4-11 289.71 Feb 22nd Monument Melee 2025
324 Villanova Win 11-9 509.27 Feb 22nd Monument Melee 2025
157 Johns Hopkins Loss 7-10 616.18 Feb 23rd Monument Melee 2025
272 Virginia Commonwealth Win 10-8 774 Feb 23rd Monument Melee 2025
294 Maryland-Baltimore County Win 8-3 999.85 Feb 23rd Monument Melee 2025
138 RIT Loss 4-15 492.92 Mar 22nd Atlantic Coast Open 2025
113 Lehigh Loss 4-13 604.24 Mar 22nd Atlantic Coast Open 2025
255 Wake Forest Loss 6-9 167.92 Mar 22nd Atlantic Coast Open 2025
43 Virginia Tech** Loss 4-15 1012.2 Ignored Mar 22nd Atlantic Coast Open 2025
388 American-B** Win 15-1 179.27 Ignored Mar 23rd Atlantic Coast Open 2025
276 Virginia Tech-B Win 15-7 1077.59 Mar 23rd Atlantic Coast Open 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)