#23 LOL (13-19)

avg: 1510.22  •  sd: 57.04  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
20 Underground Loss 7-8 1518.54 Jun 23rd Eugene Summer Solstice 40
33 Rampage Win 11-7 1630.35 Jun 23rd Eugene Summer Solstice 40
30 Sneaky House Hippos Win 10-9 1455.71 Jun 23rd Eugene Summer Solstice 40
8 Nightlock Loss 8-13 1424.23 Jun 23rd Eugene Summer Solstice 40
32 FAB Win 12-9 1536.06 Jun 24th Eugene Summer Solstice 40
- Fusion Loss 7-11 1086.62 Jun 24th Eugene Summer Solstice 40
4 Seattle Riot** Loss 5-13 1663.78 Ignored Jun 24th Eugene Summer Solstice 40
30 Sneaky House Hippos Win 8-4 1895.52 Jun 24th Eugene Summer Solstice 40
20 Underground Loss 7-10 1253.87 Jul 7th TCT Pro Elite Challenge 2018
3 Molly Brown** Loss 2-13 1673.57 Ignored Jul 7th TCT Pro Elite Challenge 2018
10 Nemesis Loss 8-13 1328.32 Jul 7th TCT Pro Elite Challenge 2018
19 Pop Loss 7-9 1399.98 Jul 8th TCT Pro Elite Challenge 2018
14 Showdown Loss 8-13 1234.97 Jul 8th TCT Pro Elite Challenge 2018
22 BENT Loss 8-13 1083.55 Jul 8th TCT Pro Elite Challenge 2018
12 Traffic Loss 3-15 1169.07 Aug 25th Bay Area Invite 2018
20 Underground Loss 9-15 1128.06 Aug 25th Bay Area Invite 2018
2 Fury** Loss 5-15 1760.71 Ignored Aug 25th Bay Area Invite 2018
9 Schwa Win 14-11 2151.3 Aug 26th Bay Area Invite 2018
4 Seattle Riot** Loss 5-15 1663.78 Ignored Aug 26th Bay Area Invite 2018
8 Nightlock Loss 9-12 1575.02 Aug 26th Bay Area Invite 2018
32 FAB Win 13-5 1790.7 Sep 8th Nor Cal Womens Sectional Championship 2018
2 Fury Loss 8-13 1864.55 Sep 8th Nor Cal Womens Sectional Championship 2018
- Tempo** Win 13-1 600 Ignored Sep 8th Nor Cal Womens Sectional Championship 2018
52 Deadly Viper Assassination Squad** Win 13-5 1393.57 Ignored Sep 8th Nor Cal Womens Sectional Championship 2018
32 FAB Win 14-10 1589.4 Sep 9th Nor Cal Womens Sectional Championship 2018
- Tempo** Win 15-2 600 Ignored Sep 9th Nor Cal Womens Sectional Championship 2018
33 Rampage Win 14-6 1763.46 Sep 22nd Southwest Womens Regional Championship 2018
52 Deadly Viper Assassination Squad** Win 15-5 1393.57 Ignored Sep 22nd Southwest Womens Regional Championship 2018
8 Nightlock Loss 7-15 1320.39 Sep 22nd Southwest Womens Regional Championship 2018
15 Wildfire Loss 9-13 1304.78 Sep 23rd Southwest Womens Regional Championship 2018
32 FAB Win 15-8 1755.51 Sep 23rd Southwest Womens Regional Championship 2018
2 Fury** Loss 5-15 1760.71 Ignored Sep 23rd Southwest Womens 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)