#80 ISO Atmo (16-16)

avg: 957.83  •  sd: 63.17  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
63 Sawtooth Loss 8-11 690.95 Jun 16th Fort Collins Summer Solstice 2018
92 Choice City Hops Loss 9-12 542.62 Jun 16th Fort Collins Summer Solstice 2018
24 Inception Loss 8-12 980.18 Jun 16th Fort Collins Summer Solstice 2018
- Johnny Walker Win 11-9 1326.7 Jun 16th Fort Collins Summer Solstice 2018
63 Sawtooth Loss 7-14 473.68 Jun 17th Fort Collins Summer Solstice 2018
130 Syndicate Win 11-9 880.19 Jun 17th Fort Collins Summer Solstice 2018
92 Choice City Hops Win 13-9 1306.56 Jul 21st The Royal Experience 18
120 KC SmokeStack Win 13-10 1039.89 Jul 21st The Royal Experience 18
- Confluence** Win 13-5 792.2 Ignored Jul 21st The Royal Experience 18
83 Supercell Loss 10-12 702.51 Jul 21st The Royal Experience 18
95 Scythe Loss 10-15 425.46 Jul 22nd The Royal Experience 18
92 Choice City Hops Loss 10-13 559.85 Jul 22nd The Royal Experience 18
120 KC SmokeStack Win 15-10 1165.35 Jul 22nd The Royal Experience 18
93 Battery Loss 11-12 758.89 Aug 18th Ski Town Classic 2018
43 Clutch Loss 4-13 654.73 Aug 18th Ski Town Classic 2018
- NCFO Win 13-9 1345.99 Aug 18th Ski Town Classic 2018
89 The Killjoys Loss 8-13 406.92 Aug 18th Ski Town Classic 2018
78 Rip City Ultimate Loss 10-13 647.65 Aug 19th Ski Town Classic 2018
144 Gridlock Win 13-2 1068.25 Aug 19th Ski Town Classic 2018
92 Choice City Hops Loss 16-17 762.99 Sep 8th Rocky Mountain Mens Sectional Championship 2018
130 Syndicate Win 15-7 1230.98 Sep 8th Rocky Mountain Mens Sectional Championship 2018
24 Inception Loss 11-13 1192.5 Sep 8th Rocky Mountain Mens Sectional Championship 2018
162 Colorado Cutthroat** Win 15-6 783.8 Ignored Sep 8th Rocky Mountain Mens Sectional Championship 2018
92 Choice City Hops Win 15-8 1452.8 Sep 9th Rocky Mountain Mens Sectional Championship 2018
- Boulder United Flatiron Hammers Win 15-13 630.03 Sep 9th Rocky Mountain Mens Sectional Championship 2018
130 Syndicate Win 12-10 869.1 Sep 9th Rocky Mountain Mens Sectional Championship 2018
84 Gaucho Win 15-8 1504.09 Sep 22nd South Central Mens Regional Championship 2018
43 Clutch Loss 12-13 1129.73 Sep 22nd South Central Mens Regional Championship 2018
35 Nitro Loss 11-13 1073.41 Sep 22nd South Central Mens Regional Championship 2018
129 Prime Win 13-5 1244.69 Sep 22nd South Central Mens Regional Championship 2018
69 Gamble Win 16-15 1158.45 Sep 23rd South Central Mens Regional Championship 2018
43 Clutch Loss 8-15 689.92 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)