#127 Pittsburgh-B (12-9)

avg: 1388.73  •  sd: 87.16  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
336 Virginia-B** Win 13-2 1169.94 Ignored Feb 17th Commonwealth Cup Weekend 1 2024
212 West Virginia Win 13-6 1679.5 Feb 17th Commonwealth Cup Weekend 1 2024
64 Maryland Loss 6-13 1077.89 Feb 17th Commonwealth Cup Weekend 1 2024
110 Davenport Win 9-8 1592.57 Feb 18th Commonwealth Cup Weekend 1 2024
114 Davidson Loss 6-12 857.96 Feb 18th Commonwealth Cup Weekend 1 2024
104 Liberty Loss 9-11 1241.52 Feb 18th Commonwealth Cup Weekend 1 2024
72 Appalachian State Loss 11-15 1247.49 Mar 30th Atlantic Coast Open 2024
307 Mary Washington** Win 15-4 1283.16 Ignored Mar 30th Atlantic Coast Open 2024
204 Virginia Commonwealth Win 15-10 1561.58 Mar 30th Atlantic Coast Open 2024
99 Tennessee-Chattanooga Loss 10-13 1190.79 Mar 30th Atlantic Coast Open 2024
91 SUNY-Buffalo Loss 9-15 1028.27 Mar 31st Atlantic Coast Open 2024
166 RIT Win 15-8 1832.63 Mar 31st Atlantic Coast Open 2024
402 Case Western Reserve-B** Win 13-3 638.41 Ignored Apr 20th Ohio Valley Dev Mens Conferences 2024
130 Penn State-B Win 13-10 1707.56 Apr 20th Ohio Valley Dev Mens Conferences 2024
407 West Chester-B** Win 13-0 467.56 Ignored Apr 20th Ohio Valley Dev Mens Conferences 2024
402 Case Western Reserve-B** Win 15-3 638.41 Ignored Apr 21st Ohio Valley Dev Mens Conferences 2024
130 Penn State-B Loss 14-15 1254.42 Apr 21st Ohio Valley Dev Mens Conferences 2024
79 Case Western Reserve Win 15-14 1720.69 May 4th Ohio Valley D I College Mens Regionals 2024
157 Miami (Ohio) Win 14-11 1603.1 May 4th Ohio Valley D I College Mens Regionals 2024
35 Ohio State Loss 6-15 1303.25 May 4th Ohio Valley D I College Mens Regionals 2024
92 Pennsylvania Loss 10-15 1085.76 May 4th Ohio Valley D I College Mens Regionals 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)