#181 Piedmont United (8-13)

avg: 770.41  •  sd: 69.89  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
165 APEX Win 10-7 1234.77 Jun 22nd Summer Glazed Daze 2019
191 LORD Loss 7-13 156.37 Jun 22nd Summer Glazed Daze 2019
103 Tyrannis Loss 9-13 741.47 Jun 22nd Summer Glazed Daze 2019
140 Crucible Win 13-9 1402.02 Jun 23rd Summer Glazed Daze 2019
153 Jackpot Loss 9-13 502.42 Jun 23rd Summer Glazed Daze 2019
111 NC Galaxy Loss 6-13 524.84 Jun 23rd Summer Glazed Daze 2019
89 FlyTrap Loss 6-13 600.71 Jul 13th Hometown Mix Up 2019
274 Rampage Win 13-3 853.59 Jul 13th Hometown Mix Up 2019
119 Seoulmates Loss 7-13 532.01 Jul 13th Hometown Mix Up 2019
167 Possum Win 11-9 1085.31 Jul 13th Hometown Mix Up 2019
165 APEX Win 13-6 1445.11 Jul 14th Hometown Mix Up 2019
111 NC Galaxy Loss 4-13 524.84 Jul 14th Hometown Mix Up 2019
119 Seoulmates Loss 8-12 648.38 Jul 14th Hometown Mix Up 2019
111 NC Galaxy Loss 3-15 524.84 Aug 24th FCS Invite 2019
183 Carolina Reaper Win 14-13 889.35 Aug 24th FCS Invite 2019
274 Rampage Win 13-5 853.59 Sep 7th North Carolina Mixed Club Sectional Championship 2019
111 NC Galaxy Loss 5-13 524.84 Sep 7th North Carolina Mixed Club Sectional Championship 2019
38 Superlame Loss 6-13 958.52 Sep 7th North Carolina Mixed Club Sectional Championship 2019
183 Carolina Reaper Win 13-11 993.19 Sep 7th North Carolina Mixed Club Sectional Championship 2019
55 Malice in Wonderland** Loss 4-13 809.77 Ignored Sep 8th North Carolina Mixed Club Sectional Championship 2019
119 Seoulmates Loss 5-13 489.54 Sep 8th North Carolina Mixed 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)