#166 West Virginia (9-11)

avg: 555.33  •  sd: 105.39  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
65 Liberty Loss 6-11 767.53 Jan 25th Winta Binta Vinta Fest 2020
12 Virginia** Loss 3-11 1435.27 Ignored Jan 25th Winta Binta Vinta Fest 2020
32 William & Mary** Loss 2-12 1040.57 Ignored Jan 25th Winta Binta Vinta Fest 2020
34 James Madison** Loss 1-15 1032.11 Ignored Jan 26th Winta Binta Vinta Fest 2020
168 Virginia Commonwealth Loss 9-10 420.55 Jan 26th Winta Binta Vinta Fest 2020
217 Virginia-B Win 10-2 679.69 Jan 26th Winta Binta Vinta Fest 2020
250 Goucher** Win 12-0 -148.45 Ignored Feb 22nd UMBC Safari Party 2020
131 MIT Loss 2-9 241.85 Feb 22nd UMBC Safari Party 2020
63 Towson Loss 5-10 750.19 Feb 22nd UMBC Safari Party 2020
228 Johns Hopkins** Win 10-1 544.19 Ignored Feb 23rd UMBC Safari Party 2020
159 Maryland-Baltimore County Loss 7-8 472.06 Feb 23rd UMBC Safari Party 2020
252 SUNY-Buffalo** Win 13-1 -263.92 Ignored Feb 23rd UMBC Safari Party 2020
118 Syracuse Loss 6-9 532.54 Feb 23rd UMBC Safari Party 2020
250 Goucher** Win 13-2 -148.45 Ignored Mar 7th Country Roads Classic 2020
159 Maryland-Baltimore County Loss 6-7 472.06 Mar 7th Country Roads Classic 2020
195 Miami (Ohio) Win 8-4 875.67 Mar 7th Country Roads Classic 2020
254 Oberlin-B** Win 13-0 -476.59 Ignored Mar 7th Country Roads Classic 2020
228 Johns Hopkins Win 12-8 385.35 Mar 8th Country Roads Classic 2020
209 DePaul Win 12-5 803.03 Mar 8th Country Roads Classic 2020
159 Maryland-Baltimore County Loss 7-9 317.72 Mar 8th Country Roads Classic 2020
**Blowout Eligible

FAQ

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
  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
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)