#22 XIST (23-21)

avg: 1618.05  •  sd: 50.7  •  top 16/20: 0.5%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
6 Snake Country Loss 10-15 1489.38 Jun 23rd Boston Invite 2018
- Crash Win 12-11 1450.31 Jun 23rd Boston Invite 2018
- Anchor Win 12-10 1803.56 Jun 23rd Boston Invite 2018
1 AMP Loss 9-15 1638.4 Jun 23rd Boston Invite 2018
9 Wild Card Win 12-11 1998.65 Jun 24th Boston Invite 2018
32 UNION Loss 12-13 1415.8 Jun 24th Boston Invite 2018
- Battleship Win 12-9 1842.76 Jun 24th Boston Invite 2018
20 No Touching! Loss 11-12 1556.38 Jul 7th TCT Pro Elite Challenge 2018
3 Drag'n Thrust Loss 7-13 1460.7 Jul 7th TCT Pro Elite Challenge 2018
36 Steamboat Win 13-3 2105.39 Jul 7th TCT Pro Elite Challenge 2018
7 Blackbird Loss 10-11 1766.68 Jul 8th TCT Pro Elite Challenge 2018
12 Mischief Loss 8-9 1659.35 Jul 8th TCT Pro Elite Challenge 2018
26 Alloy Win 13-9 2007.92 Jul 8th TCT Pro Elite Challenge 2018
49 Cosa Nostra Loss 10-11 1246.79 Aug 11th Chesapeake Open 2018
59 Distelfink Win 13-5 1900.71 Aug 11th Chesapeake Open 2018
18 Loco Loss 5-13 1134.4 Aug 11th Chesapeake Open 2018
30 Jughandle Loss 9-11 1308.14 Aug 11th Chesapeake Open 2018
27 Weird Win 13-9 1996.41 Aug 12th Chesapeake Open 2018
66 The Feminists Win 12-8 1724.71 Aug 12th Chesapeake Open 2018
41 Storm Win 11-9 1728.37 Aug 12th Chesapeake Open 2018
3 Drag'n Thrust Loss 12-14 1797.27 Sep 1st TCT Pro Championships 2018
31 Metro North Win 13-12 1681.32 Sep 1st TCT Pro Championships 2018
20 No Touching! Win 13-12 1806.38 Sep 1st TCT Pro Championships 2018
4 BFG Loss 7-15 1379.89 Sep 2nd TCT Pro Championships 2018
24 Rally Loss 9-15 1095.63 Sep 2nd TCT Pro Championships 2018
31 Metro North Loss 12-14 1335.36 Sep 2nd TCT Pro Championships 2018
- Super Happy Fun Time Win 13-6 1528.19 Sep 8th Metro New York Mixed Sectional Championship 2018
141 Powermove** Win 13-2 1493.51 Ignored Sep 8th Metro New York Mixed Sectional Championship 2018
83 Birds Win 13-8 1721.7 Sep 8th Metro New York Mixed Sectional Championship 2018
50 Grand Army Win 15-10 1823.28 Sep 9th Metro New York Mixed Sectional Championship 2018
92 Garbage Plates Win 15-6 1763.36 Sep 22nd Northeast Mixed Regional Championship 2018
102 Titan NE Win 13-7 1664.49 Sep 22nd Northeast Mixed Regional Championship 2018
31 Metro North Win 13-11 1785.16 Sep 22nd Northeast Mixed Regional Championship 2018
6 Snake Country Loss 10-15 1489.38 Sep 22nd Northeast Mixed Regional Championship 2018
32 UNION Win 13-10 1868.95 Sep 23rd Northeast Mixed Regional Championship 2018
50 Grand Army Win 15-8 1934.49 Sep 23rd Northeast Mixed Regional Championship 2018
6 Snake Country Loss 11-15 1561.81 Sep 23rd Northeast Mixed Regional Championship 2018
10 shame. Loss 7-15 1244.73 Oct 18th USA Ultimate National Championships 2018
3 Drag'n Thrust Loss 8-14 1482.19 Oct 18th USA Ultimate National Championships 2018
17 Polar Bears Loss 13-14 1614.68 Oct 18th USA Ultimate National Championships 2018
30 Jughandle Loss 10-15 1103.75 Oct 19th USA Ultimate National Championships 2018
11 Slow White Win 14-12 2048.25 Oct 19th USA Ultimate National Championships 2018
30 Jughandle Win 14-12 1778.31 Oct 19th USA Ultimate National Championships 2018
4 BFG Loss 5-15 1379.89 Oct 20th USA Ultimate National Championships 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)