#142 Princeton (7-6)

avg: 1209.71  •  sd: 61.27  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
248 Shippensburg Win 11-6 1413.03 Feb 23rd Oak Creek Challenge 2019
299 Towson Win 11-4 1282.65 Feb 23rd Oak Creek Challenge 2019
250 Maryland-Baltimore County Win 13-2 1455.26 Feb 23rd Oak Creek Challenge 2019
157 Drexel Win 10-9 1254.41 Feb 23rd Oak Creek Challenge 2019
171 RIT Win 9-7 1360.99 Feb 24th Oak Creek Challenge 2019
83 Rutgers Win 10-9 1557.97 Feb 24th Oak Creek Challenge 2019
84 Brandeis Loss 9-11 1182.68 Feb 24th Oak Creek Challenge 2019
120 James Madison Loss 10-11 1157.8 Mar 16th Oak Creek Invite 2019
147 Delaware Loss 12-13 1062.94 Mar 16th Oak Creek Invite 2019
163 SUNY-Geneseo Loss 10-13 778.43 Mar 16th Oak Creek Invite 2019
18 Michigan Loss 6-13 1308.77 Mar 16th Oak Creek Invite 2019
188 East Carolina Loss 13-15 816.18 Mar 17th Oak Creek Invite 2019
204 SUNY-Buffalo Win 14-11 1285.14 Mar 17th Oak Creek Invite 2019
**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)