#143 Space Cowboys (9-19)

avg: 827.93  •  sd: 50.3  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
36 Freaks** Loss 3-11 875.4 Ignored Jul 6th Huntsville Huckfest 2019
38 Lost Boys** Loss 4-11 842.99 Ignored Jul 6th Huntsville Huckfest 2019
210 Gentlemen's Club Win 11-7 858.74 Jul 6th Huntsville Huckfest 2019
192 Trent's Team Win 11-4 1118.64 Jul 6th Huntsville Huckfest 2019
117 Rush Hour ATL Win 11-8 1333.8 Jul 6th Huntsville Huckfest 2019
203 War Machine Win 11-4 1039.03 Jul 7th Huntsville Huckfest 2019
67 Ironmen Loss 6-15 638.16 Jul 7th Huntsville Huckfest 2019
108 H.O.G. Ultimate Win 11-10 1137.99 Jul 20th 2019 Club Terminus
102 Charleston Heat Stroke Win 13-10 1362.6 Jul 20th 2019 Club Terminus
127 Rougaroux Win 13-11 1134.81 Jul 20th 2019 Club Terminus
86 Bullet Loss 6-13 506.7 Jul 21st 2019 Club Terminus
126 Cockfight Win 11-9 1161.42 Jul 21st 2019 Club Terminus
85 ATLiens Win 11-9 1358.39 Jul 21st 2019 Club Terminus
107 Fathom Loss 10-12 781.41 Aug 24th FCS Invite 2019
38 Lost Boys** Loss 3-13 842.99 Ignored Aug 24th FCS Invite 2019
99 Bash Bros Loss 9-13 624.15 Aug 24th FCS Invite 2019
23 Vault** Loss 3-13 1023.65 Ignored Aug 24th FCS Invite 2019
126 Cockfight Loss 10-11 787.22 Aug 25th FCS Invite 2019
120 baNC Loss 14-15 811.22 Aug 25th FCS Invite 2019
120 baNC Loss 7-11 469.33 Aug 25th FCS Invite 2019
117 Rush Hour ATL Loss 10-15 514.58 Sep 1st East Coast Mens Club Sectional Championship 2019
38 Lost Boys Loss 8-13 946.84 Sep 7th East Coast Mens Club Sectional Championship 2019
108 H.O.G. Ultimate Loss 12-13 887.99 Sep 7th East Coast Mens Club Sectional Championship 2019
37 Tanasi Loss 7-13 917.72 Sep 7th East Coast Mens Club Sectional Championship 2019
102 Charleston Heat Stroke Loss 9-13 615.89 Sep 7th East Coast Mens Club Sectional Championship 2019
86 Bullet Loss 5-13 506.7 Sep 8th East Coast Mens Club Sectional Championship 2019
102 Charleston Heat Stroke Loss 7-14 451.57 Sep 8th East Coast Mens Club Sectional Championship 2019
117 Rush Hour ATL Loss 11-13 739.35 Sep 8th East Coast 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)