#174 Red Bat (5-19)

avg: 639.73  •  sd: 53.96  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
101 Imperial Loss 9-13 621.28 Jun 29th Spirit of the Plains 2019
183 Yacht Club Win 12-11 689.6 Jun 29th Spirit of the Plains 2019
20 Yogosbo** Loss 4-13 1133.03 Ignored Jun 29th Spirit of the Plains 2019
34 Mad Men Loss 6-11 927.71 Jun 30th Spirit of the Plains 2019
130 Kansas City Smokestack Loss 5-13 296.64 Jun 30th Spirit of the Plains 2019
60 Swans** Loss 3-10 671.27 Ignored Jun 30th Spirit of the Plains 2019
28 Nain Rouge** Loss 2-13 946.08 Ignored Jul 13th The Bropen 2019
95 HouSE Loss 6-13 470 Jul 13th The Bropen 2019
20 Yogosbo** Loss 5-13 1133.03 Ignored Jul 13th The Bropen 2019
100 Timber Loss 5-13 441.48 Jul 13th The Bropen 2019
94 Minnesota Superior U20B Loss 8-11 705.77 Jul 13th The Bropen 2019
175 Milwaukee Revival Loss 9-10 512.91 Jul 14th The Bropen 2019
175 Milwaukee Revival Win 13-9 1056.48 Aug 17th Cooler Classic 31
101 Imperial Loss 2-13 439.84 Aug 17th Cooler Classic 31
130 Kansas City Smokestack Loss 6-13 296.64 Aug 17th Cooler Classic 31
179 Chimney Win 9-8 710.69 Aug 18th Cooler Classic 31
102 THE BODY Loss 8-11 663.53 Aug 18th Cooler Classic 31
100 Timber Loss 5-11 441.48 Aug 18th Cooler Classic 31
48 Cryptic Loss 5-11 756.2 Sep 7th West Plains Mens Club Sectional Championship 2019
- Miner Magic Win 11-6 1014.71 Sep 7th West Plains Mens Club Sectional Championship 2019
56 Scythe** Loss 4-11 688.06 Ignored Sep 7th West Plains Mens Club Sectional Championship 2019
130 Kansas City Smokestack Loss 8-11 531.03 Sep 7th West Plains Mens Club Sectional Championship 2019
183 Yacht Club Win 13-8 1060.76 Sep 8th West Plains Mens Club Sectional Championship 2019
118 CaSTLe Loss 5-15 353.91 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)