#29 Utah (21-15)

avg: 1947.07  •  sd: 47.04  •  top 16/20: 0.5%

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# Opponent Result Game Rating Status Date Event
121 Cal Poly-SLO-B Win 15-3 2001.25 Jan 27th Santa Barbara Invite 2024
15 California Loss 10-12 1919.34 Jan 27th Santa Barbara Invite 2024
60 California-Santa Barbara Win 12-9 2060.96 Jan 27th Santa Barbara Invite 2024
53 Colorado State Win 14-7 2338.94 Jan 27th Santa Barbara Invite 2024
21 British Columbia Loss 10-15 1596.28 Jan 28th Santa Barbara Invite 2024
41 Oklahoma Christian Win 11-9 2102.08 Jan 28th Santa Barbara Invite 2024
24 UCLA Loss 10-11 1895.7 Jan 28th Santa Barbara Invite 2024
40 Victoria Win 12-10 2095.61 Jan 28th Santa Barbara Invite 2024
34 California-San Diego Win 12-10 2141.57 Feb 17th Presidents Day Invite 2024
1 Colorado Loss 8-14 1963.7 Feb 17th Presidents Day Invite 2024
67 Stanford Win 10-7 2061.23 Feb 17th Presidents Day Invite 2024
5 Cal Poly-SLO Loss 9-14 1922.98 Feb 18th Presidents Day Invite 2024
7 Oregon Loss 9-12 1984.71 Feb 18th Presidents Day Invite 2024
19 Oregon State Loss 10-15 1644.86 Feb 18th Presidents Day Invite 2024
15 California Loss 7-10 1767.8 Feb 19th Presidents Day Invite 2024
40 Victoria Win 11-10 1982.48 Feb 19th Presidents Day Invite 2024
21 British Columbia Loss 11-14 1736.55 Mar 23rd Northwest Challenge Mens 2024
5 Cal Poly-SLO Loss 13-15 2182.67 Mar 23rd Northwest Challenge Mens 2024
15 California Loss 12-15 1856.97 Mar 23rd Northwest Challenge Mens 2024
22 Washington Win 14-13 2158.49 Mar 24th Northwest Challenge Mens 2024
40 Victoria Win 15-7 2457.48 Mar 24th Northwest Challenge Mens 2024
180 Brigham Young-B Win 13-7 1752.47 Mar 29th Utah Valley Rally
58 Utah Valley Loss 10-13 1409.4 Mar 29th Utah Valley Rally
32 Utah State Loss 5-13 1308.9 Mar 29th Utah Valley Rally
180 Brigham Young-B Win 13-7 1752.47 Mar 30th Utah Valley Rally
58 Utah Valley Win 13-8 2233.7 Mar 30th Utah Valley Rally
321 Idaho** Win 15-0 1240.22 Ignored Apr 13th Big Sky D I Mens Conferences 2024
288 Montana** Win 15-3 1380.85 Ignored Apr 13th Big Sky D I Mens Conferences 2024
149 Montana State** Win 15-3 1915.09 Ignored Apr 13th Big Sky D I Mens Conferences 2024
160 Washington State** Win 15-0 1883.92 Ignored Apr 13th Big Sky D I Mens Conferences 2024
32 Utah State Win 13-9 2327.47 Apr 14th Big Sky D I Mens Conferences 2024
58 Utah Valley Win 14-10 2136.24 Apr 14th Big Sky D I Mens Conferences 2024
7 Oregon Loss 11-13 2101.24 May 4th Northwest D I College Mens Regionals 2024
160 Washington State Win 13-8 1780.07 May 4th Northwest D I College Mens Regionals 2024
40 Victoria Win 12-11 1982.48 May 4th Northwest D I College Mens Regionals 2024
21 British Columbia Loss 9-11 1800.68 May 5th Northwest 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)