#22 BENT (18-15)

avg: 1579.71  •  sd: 45.81  •  top 16/20: 0.1%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
- Venus Win 15-6 1591.44 Jun 23rd Boston Invite 2018
43 Green Means Go Win 15-6 1596.6 Jun 23rd Boston Invite 2018
35 Hot Metal Win 15-6 1737.96 Jun 23rd Boston Invite 2018
- Vintage Win 15-12 1725.27 Jun 23rd Boston Invite 2018
- Salty Win 15-7 1706.52 Jun 24th Boston Invite 2018
21 Siege Loss 9-15 1084.15 Jun 24th Boston Invite 2018
- Iris Win 14-13 1918.82 Jun 24th Boston Invite 2018
16 Heist Win 11-10 1847.08 Jul 7th TCT Pro Elite Challenge 2018
5 Scandal Loss 10-13 1774.96 Jul 7th TCT Pro Elite Challenge 2018
8 Nightlock Loss 9-11 1671.18 Jul 7th TCT Pro Elite Challenge 2018
20 Underground Win 11-10 1768.54 Jul 8th TCT Pro Elite Challenge 2018
9 Schwa Loss 5-13 1237.97 Jul 8th TCT Pro Elite Challenge 2018
23 LOL Win 13-8 2006.38 Jul 8th TCT Pro Elite Challenge 2018
16 Heist Loss 11-13 1493.24 Aug 18th TCT Elite Select Challenge 2018
14 Showdown Loss 9-13 1312.57 Aug 18th TCT Elite Select Challenge 2018
31 Indy Rogue Win 12-9 1549.36 Aug 18th TCT Elite Select Challenge 2018
20 Underground Loss 10-11 1518.54 Aug 19th TCT Elite Select Challenge 2018
24 Wicked Loss 8-9 1367.17 Aug 19th TCT Elite Select Challenge 2018
7 Ozone Loss 9-15 1421.05 Sep 1st TCT Pro Championships 2018
21 Siege Win 15-14 1724.64 Sep 1st TCT Pro Championships 2018
35 Hot Metal Win 15-5 1737.96 Sep 1st TCT Pro Championships 2018
16 Heist Loss 8-15 1157.27 Sep 2nd TCT Pro Championships 2018
5 Scandal Loss 10-15 1649.49 Sep 2nd TCT Pro Championships 2018
6 6ixers Loss 5-15 1416.35 Sep 2nd TCT Pro Championships 2018
79 DINO** Win 15-0 123.43 Ignored Sep 8th Metro New York Womens Sectional Championship 2018
56 Brooklyn Book Club Win 15-7 1293.61 Sep 8th Metro New York Womens Sectional Championship 2018
39 Savage Win 13-3 1650.05 Sep 22nd Northeast Womens Regional Championship 2018
13 Stella Loss 8-11 1376.89 Sep 22nd Northeast Womens Regional Championship 2018
6 6ixers Loss 9-13 1597.79 Sep 22nd Northeast Womens Regional Championship 2018
56 Brooklyn Book Club** Win 13-3 1293.61 Ignored Sep 22nd Northeast Womens Regional Championship 2018
41 Frolic Win 15-6 1639.54 Sep 23rd Northeast Womens Regional Championship 2018
21 Siege Win 15-10 2053.24 Sep 23rd Northeast Womens Regional Championship 2018
13 Stella Loss 13-14 1617.5 Sep 23rd Northeast 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)