#25 General Strike (17-5)

avg: 1564.89  •  sd: 56.14  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
52 Mallard Win 13-9 1748.14 Jun 29th Spirit of the Plains 2019
130 Kansas City Smokestack** Win 13-4 1496.64 Ignored Jun 29th Spirit of the Plains 2019
56 Scythe Win 12-11 1413.06 Jun 29th Spirit of the Plains 2019
74 DeMo Win 13-7 1726.51 Jun 29th Spirit of the Plains 2019
101 Imperial Win 13-4 1639.84 Jun 30th Spirit of the Plains 2019
60 Swans Win 11-8 1636.88 Jun 30th Spirit of the Plains 2019
20 Yogosbo Win 12-11 1858.03 Jun 30th Spirit of the Plains 2019
43 CITYWIDE Special Win 13-8 1898.11 Jul 27th TCT Select Flight Invite East 2019
23 CLE Smokestack Loss 8-13 1139.5 Jul 27th TCT Select Flight Invite East 2019
67 UpRoar Win 13-7 1769.85 Jul 27th TCT Select Flight Invite East 2019
59 Big Wrench Win 13-7 1828.98 Jul 27th TCT Select Flight Invite East 2019
23 CLE Smokestack Loss 10-13 1307.52 Jul 28th TCT Select Flight Invite East 2019
12 Pittsburgh Temper Win 15-14 2014.86 Jul 28th TCT Select Flight Invite East 2019
8 GOAT Loss 7-13 1439.69 Jul 28th TCT Select Flight Invite East 2019
34 Mad Men Win 13-12 1599.41 Sep 7th Northwest Plains Mens Club Sectional Championship 2019
210 Fargoats** Win 11-1 994.84 Ignored Sep 7th Northwest Plains Mens Club Sectional Championship 2019
101 Imperial Win 11-2 1639.84 Sep 7th Northwest Plains Mens Club Sectional Championship 2019
167 DINGWOP Win 11-5 1277.59 Sep 7th Northwest Plains Mens Club Sectional Championship 2019
34 Mad Men Loss 8-11 1108.8 Sep 8th Northwest Plains Mens Club Sectional Championship 2019
60 Swans Win 11-8 1636.88 Sep 8th Northwest Plains Mens Club Sectional Championship 2019
102 THE BODY Win 11-6 1575.83 Sep 8th Northwest Plains Mens Club Sectional Championship 2019
20 Yogosbo Loss 10-13 1404.89 Sep 8th Northwest 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)