#150 West Chester (14-9)

avg: 1314.53  •  sd: 79.83  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
77 Carnegie Mellon Loss 6-13 1007.47 Mar 2nd Oak Creek Challenge 2024
147 Maryland-Baltimore County Loss 9-11 1066.66 Mar 2nd Oak Creek Challenge 2024
162 Rutgers Loss 7-8 1157.55 Mar 2nd Oak Creek Challenge 2024
289 Drexel Win 13-7 1327.2 Mar 3rd Oak Creek Challenge 2024
217 George Washington Win 13-8 1554.66 Mar 3rd Oak Creek Challenge 2024
148 Johns Hopkins Win 11-8 1680.73 Mar 3rd Oak Creek Challenge 2024
175 Delaware Win 11-5 1821.88 Mar 23rd Garden State 2024
198 Messiah Win 10-7 1518.66 Mar 23rd Garden State 2024
212 West Virginia Win 8-7 1204.5 Mar 23rd Garden State 2024
234 Haverford Win 13-8 1495.68 Mar 24th Garden State 2024
198 Messiah Win 13-10 1457.14 Mar 24th Garden State 2024
272 Rowan Win 9-5 1385.84 Mar 24th Garden State 2024
170 Villanova Loss 8-9 1126.96 Mar 24th Garden State 2024
234 Haverford Loss 8-11 633.91 Mar 30th Layout Pigout 2024
376 SUNY-Fredonia** Win 13-1 908.89 Ignored Mar 30th Layout Pigout 2024
407 West Chester-B** Win 13-1 467.56 Ignored Mar 30th Layout Pigout 2024
289 Drexel Win 11-3 1369.67 Apr 13th East Penn D I Mens Conferences 2024
92 Pennsylvania Win 9-6 1957.93 Apr 13th East Penn D I Mens Conferences 2024
170 Villanova Win 13-2 1851.96 Apr 13th East Penn D I Mens Conferences 2024
97 Lehigh Loss 8-11 1160.73 Apr 13th East Penn D I Mens Conferences 2024
92 Pennsylvania Loss 4-10 939.36 Apr 14th East Penn D I Mens Conferences 2024
56 Temple Loss 5-11 1143.67 Apr 14th East Penn D I Mens Conferences 2024
170 Villanova Loss 5-9 722.9 Apr 14th East Penn 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)