#29 Clutch (22-5)

avg: 1538.44  •  sd: 62.45  •  top 16/20: 0.1%

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# Opponent Result Game Rating Status Date Event
162 DUPlex** Win 13-0 1310.18 Ignored Jun 29th Texas 2 Finger Mens and Womens
229 Texas Toast** Win 12-1 815.14 Ignored Jun 29th Texas 2 Finger Mens and Womens
154 Foxtrot** Win 13-4 1361.61 Ignored Jun 29th Texas 2 Finger Mens and Womens
69 Riverside Win 13-2 1806.25 Jun 29th Texas 2 Finger Mens and Womens
91 Harvey Cats Win 15-9 1606.29 Jun 30th Texas 2 Finger Mens and Womens
36 Nitro Loss 11-13 1234.57 Jun 30th Texas 2 Finger Mens and Womens
69 Riverside Win 15-8 1771.06 Jun 30th Texas 2 Finger Mens and Womens
67 UpRoar Win 15-4 1812.32 Jul 13th TCT Select Flight Invite West 2019
41 MKE Win 14-10 1809.54 Jul 13th TCT Select Flight Invite West 2019
23 CLE Smokestack Loss 11-14 1322.33 Jul 14th TCT Select Flight Invite West 2019
55 Streetgang Loss 11-13 1060.77 Jul 14th TCT Select Flight Invite West 2019
49 El Niño Win 12-11 1472.98 Jul 14th TCT Select Flight Invite West 2019
41 MKE Win 12-6 1990.15 Jul 14th TCT Select Flight Invite West 2019
66 Ironmen Win 13-8 1724.32 Aug 17th Mudbowl 2019
126 Rougaroux** Win 13-3 1505.03 Ignored Aug 17th Mudbowl 2019
81 Bullet Win 13-5 1726.43 Aug 17th Mudbowl 2019
142 ScooberDivers Win 13-8 1323.55 Aug 18th Mudbowl 2019
120 Rush Hour ATL Win 13-5 1547.33 Aug 18th Mudbowl 2019
66 Ironmen Win 13-7 1785.69 Aug 18th Mudbowl 2019
154 Foxtrot Win 13-8 1257.77 Sep 7th Texas Mens Club Sectional Championship 2019
218 Messengers-B** Win 13-4 898.96 Ignored Sep 7th Texas Mens Club Sectional Championship 2019
76 Gamble Win 13-8 1656.68 Sep 7th Texas Mens Club Sectional Championship 2019
27 H.I.P Loss 7-13 991.02 Sep 7th Texas Mens Club Sectional Championship 2019
64 Gaucho Loss 10-12 1014.74 Sep 8th Texas Mens Club Sectional Championship 2019
91 Harvey Cats Win 13-7 1648.34 Sep 8th Texas Mens Club Sectional Championship 2019
69 Riverside Win 12-4 1806.25 Sep 8th Texas Mens Club Sectional Championship 2019
64 Gaucho Win 13-8 1749.02 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)