#92 Choice City Hops (15-17)

avg: 887.99  •  sd: 78.52  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
63 Sawtooth Win 13-9 1475.13 Jun 16th Fort Collins Summer Solstice 2018
80 ISO Atmo Win 12-9 1303.19 Jun 16th Fort Collins Summer Solstice 2018
24 Inception Loss 5-13 821.34 Jun 16th Fort Collins Summer Solstice 2018
- Johnny Walker Loss 8-13 581.33 Jun 16th Fort Collins Summer Solstice 2018
95 Scythe Loss 5-15 279.07 Jun 17th Fort Collins Summer Solstice 2018
- Johnny Encore Loss 9-15 704.53 Jun 17th Fort Collins Summer Solstice 2018
- Confluence Win 13-6 792.2 Jul 21st The Royal Experience 18
120 KC SmokeStack Win 12-11 836.75 Jul 21st The Royal Experience 18
80 ISO Atmo Loss 9-13 539.26 Jul 21st The Royal Experience 18
83 Supercell Loss 9-13 522.07 Jul 21st The Royal Experience 18
60 DeMo Loss 16-17 971.58 Jul 22nd The Royal Experience 18
130 Syndicate Win 15-8 1195.79 Jul 22nd The Royal Experience 18
80 ISO Atmo Win 13-10 1285.97 Jul 22nd The Royal Experience 18
78 Rip City Ultimate Win 12-8 1416.95 Aug 18th Ski Town Classic 2018
88 PowderHogs Loss 11-13 679.64 Aug 18th Ski Town Classic 2018
144 Gridlock Win 13-5 1068.25 Aug 18th Ski Town Classic 2018
81 Sundowners Loss 11-12 822.72 Aug 18th Ski Town Classic 2018
93 Battery Loss 10-12 645.77 Aug 19th Ski Town Classic 2018
89 The Killjoys Win 13-5 1503.08 Aug 19th Ski Town Classic 2018
162 Colorado Cutthroat** Win 15-6 783.8 Ignored Sep 8th Rocky Mountain Mens Sectional Championship 2018
24 Inception Loss 8-15 856.53 Sep 8th Rocky Mountain Mens Sectional Championship 2018
- Boulder United Flatiron Hammers Win 15-7 1015.85 Sep 8th Rocky Mountain Mens Sectional Championship 2018
80 ISO Atmo Win 17-16 1082.83 Sep 8th Rocky Mountain Mens Sectional Championship 2018
130 Syndicate Win 15-13 845.16 Sep 9th Rocky Mountain Mens Sectional Championship 2018
24 Inception Loss 8-15 856.53 Sep 9th Rocky Mountain Mens Sectional Championship 2018
80 ISO Atmo Loss 8-15 393.02 Sep 9th Rocky Mountain Mens Sectional Championship 2018
24 Inception Loss 8-13 925.18 Sep 22nd South Central Mens Regional Championship 2018
84 Gaucho Loss 9-13 520.72 Sep 22nd South Central Mens Regional Championship 2018
110 Dreadnought Win 14-12 990.34 Sep 22nd South Central Mens Regional Championship 2018
35 Nitro Loss 10-15 848.65 Sep 22nd South Central Mens Regional Championship 2018
82 Riverside Loss 13-15 730.23 Sep 23rd South Central Mens Regional Championship 2018
83 Supercell Win 15-14 1065.63 Sep 23rd South Central Mens Regional Championship 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)