#67 Utah (17-10)

avg: 1457.97  •  sd: 60.35  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
100 Arizona Loss 11-13 1106.64 Jan 27th Santa Barbara Invitational 2018
148 San Diego State Win 13-8 1643.23 Jan 27th Santa Barbara Invitational 2018
20 Cal Poly-SLO Win 12-11 1968.12 Jan 27th Santa Barbara Invitational 2018
17 Colorado State Win 14-13 1994.76 Jan 27th Santa Barbara Invitational 2018
38 Southern California Loss 10-13 1305.75 Jan 28th Santa Barbara Invitational 2018
25 Victoria Loss 11-13 1502.9 Jan 28th Santa Barbara Invitational 2018
24 Western Washington Loss 5-13 1142.07 Jan 28th Santa Barbara Invitational 2018
44 Illinois Win 13-8 2085.19 Feb 17th Presidents Day Invitational Tournament 2018
3 Oregon Loss 8-13 1692.61 Feb 17th Presidents Day Invitational Tournament 2018
59 Santa Clara Win 12-11 1624.77 Feb 17th Presidents Day Invitational Tournament 2018
53 UCLA Win 12-10 1772.54 Feb 17th Presidents Day Invitational Tournament 2018
32 California Loss 7-15 1095.8 Feb 18th Presidents Day Invitational Tournament 2018
19 Colorado Loss 6-14 1250.95 Feb 18th Presidents Day Invitational Tournament 2018
53 UCLA Loss 8-10 1271.75 Feb 19th Presidents Day Invitational Tournament 2018
247 Boise State** Win 12-3 1378.11 Ignored Mar 3rd Big Sky Brawl 2018
321 Idaho Win 13-7 1059.54 Mar 3rd Big Sky Brawl 2018
127 Montana Win 10-8 1469.72 Mar 3rd Big Sky Brawl 2018
211 Utah State Win 12-11 1032.84 Mar 3rd Big Sky Brawl 2018
146 Nevada-Reno Loss 8-9 1024.3 Mar 4th Big Sky Brawl 2018
206 Washington State Win 12-5 1523.57 Mar 4th Big Sky Brawl 2018
186 Cal Poly-Pomona Win 11-6 1529.8 Mar 24th Trouble in Vegas 2018
214 California-Santa Cruz Win 12-6 1484.88 Mar 24th Trouble in Vegas 2018
129 Claremont Win 10-6 1692.02 Mar 24th Trouble in Vegas 2018
128 Colorado School of Mines Win 10-9 1328.86 Mar 24th Trouble in Vegas 2018
100 Arizona Win 9-6 1754.04 Mar 25th Trouble in Vegas 2018
148 San Diego State Win 15-3 1747.07 Mar 25th Trouble in Vegas 2018
53 UCLA Loss 6-12 955.11 Mar 25th Trouble in Vegas 2018
**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)