#32 UNION (30-14)

avg: 1540.8  •  sd: 55.37  •  top 16/20: 0.1%

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# Opponent Result Game Rating Status Date Event
- Crash Win 15-12 1625.8 Jun 23rd Boston Invite 2018
- Anchor Loss 11-13 1336.59 Jun 23rd Boston Invite 2018
1 AMP** Loss 3-15 1553.89 Ignored Jun 23rd Boston Invite 2018
6 Snake Country Loss 5-15 1342.98 Jun 23rd Boston Invite 2018
22 XIST Win 13-12 1743.05 Jun 24th Boston Invite 2018
66 The Feminists Win 11-8 1649.17 Jun 24th Boston Invite 2018
30 Jughandle Loss 7-15 957.35 Jun 24th Boston Invite 2018
129 Moonshine Win 10-6 1467.73 Jul 7th Motown Throwdown 2018
147 Goose Lee** Win 11-2 1483.61 Ignored Jul 7th Motown Throwdown 2018
45 Northern Comfort Win 11-7 1902.75 Jul 7th Motown Throwdown 2018
223 Petey's Scallywags** Win 11-2 960.69 Ignored Jul 7th Motown Throwdown 2018
155 Liquid Hustle** Win 11-4 1441.83 Ignored Jul 7th Motown Throwdown 2018
88 Toast Win 15-5 1776.79 Jul 8th Motown Throwdown 2018
134 Petey's Pirates Win 15-7 1557.75 Jul 8th Motown Throwdown 2018
77 Tequila Mockingbird Win 15-7 1852.9 Jul 8th Motown Throwdown 2018
89 Sweet Action Win 13-5 1769.03 Jul 28th TCT Select Flight Invite 2018
35 Classy Win 13-6 2113.71 Jul 28th TCT Select Flight Invite 2018
44 Bozos Win 10-8 1723.33 Jul 28th TCT Select Flight Invite 2018
17 Polar Bears Loss 8-12 1298.53 Jul 28th TCT Select Flight Invite 2018
28 Mesteño Win 12-7 2083.05 Jul 29th TCT Select Flight Invite 2018
24 Rally Loss 7-13 1053.58 Jul 29th TCT Select Flight Invite 2018
13 Birdfruit Loss 10-11 1654.29 Jul 29th TCT Select Flight Invite 2018
27 Weird Loss 11-12 1452.85 Aug 11th Chesapeake Open 2018
5 Space Heater Win 12-11 2087.94 Aug 11th Chesapeake Open 2018
66 The Feminists Win 12-8 1724.71 Aug 11th Chesapeake Open 2018
41 Storm Win 11-10 1604.16 Aug 11th Chesapeake Open 2018
18 Loco Loss 8-13 1238.24 Aug 12th Chesapeake Open 2018
49 Cosa Nostra Win 13-8 1867.95 Aug 12th Chesapeake Open 2018
30 Jughandle Loss 8-11 1191.74 Aug 12th Chesapeake Open 2018
133 Townies Win 13-6 1561.15 Sep 8th Upstate New York Mixed Sectional Championship 2018
114 Buffalo Lake Effect Win 11-5 1641.74 Sep 8th Upstate New York Mixed Sectional Championship 2018
124 Albany Airbenders Win 13-6 1612.1 Sep 8th Upstate New York Mixed Sectional Championship 2018
242 Buffalo Brain Freeze** Win 13-1 670.2 Ignored Sep 8th Upstate New York Mixed Sectional Championship 2018
203 Zen Win 10-6 1046.85 Sep 9th Upstate New York Mixed Sectional Championship 2018
92 Garbage Plates Win 11-6 1710.05 Sep 9th Upstate New York Mixed Sectional Championship 2018
92 Garbage Plates Loss 7-10 773.69 Sep 9th Upstate New York Mixed Sectional Championship 2018
114 Buffalo Lake Effect Win 13-3 1641.74 Sep 9th Upstate New York Mixed Sectional Championship 2018
9 Wild Card Loss 7-13 1316.12 Sep 22nd Northeast Mixed Regional Championship 2018
57 Heartless Win 15-14 1438.66 Sep 22nd Northeast Mixed Regional Championship 2018
107 Sunken Circus Win 10-8 1340.18 Sep 22nd Northeast Mixed Regional Championship 2018
53 Darkwing Win 15-9 1849.75 Sep 22nd Northeast Mixed Regional Championship 2018
22 XIST Loss 10-13 1289.9 Sep 23rd Northeast Mixed Regional Championship 2018
11 Slow White Loss 10-15 1373.69 Sep 23rd Northeast Mixed Regional Championship 2018
33 League of Shadows Win 11-9 1785.16 Sep 23rd Northeast Mixed Regional Championship 2018
**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)