#123 CaSTLe (11-12)

avg: 923.61  •  sd: 52.67  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
93 Mango Tree Loss 7-13 525.55 Jul 6th Motown Throwdown 2019
235 Buffalo Open Win 11-5 610.32 Jul 6th Motown Throwdown 2019
184 Chimney Win 12-8 997.53 Jul 6th Motown Throwdown 2019
31 Black Market I Loss 5-13 895.14 Jul 7th Motown Throwdown 2019
164 BlackER Market Y Win 11-9 960.32 Jul 7th Motown Throwdown 2019
133 Kentucky Flying Circus Win 10-9 1009.93 Jul 7th Motown Throwdown 2019
76 DeMo Loss 5-13 570.86 Jul 20th The Royal Experience 2019
236 Identity Crisis** Win 13-1 610.25 Ignored Jul 20th The Royal Experience 2019
148 Syndicate Win 11-6 1339.33 Jul 20th The Royal Experience 2019
59 Scythe Loss 9-11 1033.59 Jul 20th The Royal Experience 2019
137 Kansas City Smokestack Loss 13-14 747.45 Jul 21st The Royal Experience 2019
73 Swans Loss 9-15 668.03 Jul 21st The Royal Experience 2019
96 HouSE Loss 11-13 823.65 Aug 17th Cooler Classic 31
116 Timber Loss 9-13 550.27 Aug 17th Cooler Classic 31
184 Chimney Win 13-11 785.21 Aug 17th Cooler Classic 31
178 Milwaukee Revival Win 11-5 1209.07 Aug 18th Cooler Classic 31
122 Satellite Loss 8-9 801.03 Aug 18th Cooler Classic 31
137 Kansas City Smokestack Win 10-3 1472.45 Aug 18th Cooler Classic 31
32 Prairie Fire Loss 9-15 968.25 Sep 7th West Plains Mens Club Sectional Championship 2019
76 DeMo Loss 13-14 1045.86 Sep 7th West Plains Mens Club Sectional Championship 2019
191 Yacht Club Win 15-6 1127.56 Sep 7th West Plains Mens Club Sectional Championship 2019
177 Red Bat Win 15-5 1212.6 Sep 8th West Plains Mens Club Sectional Championship 2019
137 Kansas City Smokestack Loss 13-14 747.45 Sep 8th West Plains Mens Club Sectional Championship 2019
**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)