#36 Nitro (15-5)

avg: 1463.41  •  sd: 69.72  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
218 Messengers-B** Win 13-0 898.96 Ignored Jun 29th Texas 2 Finger Mens and Womens
64 Gaucho Win 11-9 1502.07 Jun 29th Texas 2 Finger Mens and Womens
150 Louisiana Second Line Win 13-7 1326.1 Jun 29th Texas 2 Finger Mens and Womens
80 Texas United Win 13-6 1743.45 Jun 29th Texas 2 Finger Mens and Womens
29 Clutch Win 13-11 1767.28 Jun 30th Texas 2 Finger Mens and Womens
27 H.I.P Win 13-11 1777.39 Jun 30th Texas 2 Finger Mens and Womens
85 Dreadnought Win 15-7 1715.25 Jun 30th Texas 2 Finger Mens and Womens
43 CITYWIDE Special Win 13-11 1630.79 Jul 27th TCT Select Flight Invite East 2019
41 MKE Win 13-11 1639.68 Jul 27th TCT Select Flight Invite East 2019
13 Furious George Loss 8-13 1383.67 Jul 27th TCT Select Flight Invite East 2019
67 UpRoar Win 11-8 1577.93 Jul 27th TCT Select Flight Invite East 2019
8 GOAT Loss 2-13 1397.22 Jul 28th TCT Select Flight Invite East 2019
24 Brickhouse Win 13-11 1797.04 Jul 28th TCT Select Flight Invite East 2019
12 Pittsburgh Temper Loss 10-13 1561.71 Jul 28th TCT Select Flight Invite East 2019
147 Glycerine** Win 13-4 1379.12 Ignored Sep 7th Texas Mens Club Sectional Championship 2019
69 Riverside Win 13-6 1806.25 Sep 7th Texas Mens Club Sectional Championship 2019
177 Rock Steady Win 13-7 1185.48 Sep 7th Texas Mens Club Sectional Championship 2019
116 Papa Bear Win 13-10 1287.93 Sep 7th Texas Mens Club Sectional Championship 2019
76 Gamble Loss 4-13 560.52 Sep 8th Texas Mens Club Sectional Championship 2019
27 H.I.P Loss 11-13 1319.71 Sep 8th Texas 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)