#26 Virginia Rebellion (25-7)

avg: 1447.7  •  sd: 86.25  •  top 16/20: 0.1%

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# Opponent Result Game Rating Status Date Event
61 Red Hot Ultimate Win 13-6 1370.23 Jun 15th ATL Classic 2019
22 Tabby Rosa Loss 6-13 957.69 Jun 15th ATL Classic 2019
78 cATLanta** Win 13-1 1009.48 Ignored Jun 15th ATL Classic 2019
45 Queen Cake Win 13-7 1674.52 Jun 15th ATL Classic 2019
57 Outbreak Win 13-4 1464.36 Jun 16th ATL Classic 2019
50 Taco Truck Win 7-4 1550.15 Jun 16th ATL Classic 2019
22 Tabby Rosa Loss 6-9 1139.13 Jun 16th ATL Classic 2019
99 Pickup Lines** Win 13-1 357.46 Ignored Jul 13th Scuffletown Throwdown 2019
58 Agency Win 13-5 1461.73 Jul 13th Scuffletown Throwdown 2019
69 Broad City Win 11-7 1127.58 Jul 13th Scuffletown Throwdown 2019
100 Oligarchy** Win 13-1 318.24 Ignored Jul 13th Scuffletown Throwdown 2019
65 Eliza Furnace** Win 15-3 1325.78 Ignored Jul 14th Scuffletown Throwdown 2019
48 Brooklyn Book Club Win 12-7 1602.69 Jul 14th Scuffletown Throwdown 2019
29 Warhawks Win 13-11 1629 Jul 14th Scuffletown Throwdown 2019
24 Salty Loss 12-13 1338.7 Jul 27th TCT Select Flight Invite East 2019
12 Rival Loss 2-13 1313.04 Jul 27th TCT Select Flight Invite East 2019
46 Indy Rogue Win 13-5 1700.16 Jul 27th TCT Select Flight Invite East 2019
30 Colorado Small Batch Win 13-8 1893.87 Jul 27th TCT Select Flight Invite East 2019
18 Underground Loss 10-11 1571.48 Jul 28th TCT Select Flight Invite East 2019
11 Siege Win 13-11 2142.53 Jul 28th TCT Select Flight Invite East 2019
20 Pop Loss 7-13 1075.84 Jul 28th TCT Select Flight Invite East 2019
58 Agency Win 13-5 1461.73 Aug 10th Chesapeake Open 2019
64 Notorious C.L.E.** Win 13-2 1335.54 Ignored Aug 10th Chesapeake Open 2019
48 Brooklyn Book Club Win 12-11 1207.18 Aug 10th Chesapeake Open 2019
41 Vice Win 13-4 1775.88 Aug 11th Chesapeake Open 2019
66 Hot Metal Win 15-11 1100.8 Aug 11th Chesapeake Open 2019
40 Pine Baroness Win 14-9 1682.91 Aug 11th Chesapeake Open 2019
99 Pickup Lines** Win 11-1 357.46 Ignored Sep 7th Capital Womens Club Sectional Championship 2019
93 Suffrage** Win 11-0 749.01 Ignored Sep 7th Capital Womens Club Sectional Championship 2019
58 Agency Win 11-6 1408.43 Sep 7th Capital Womens Club Sectional Championship 2019
100 Oligarchy** Win 11-1 318.24 Ignored Sep 7th Capital Womens Club Sectional Championship 2019
21 Grit Loss 6-11 1066.59 Sep 7th Capital Womens 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)