#34 Indy Rogue (24-9)

avg: 1186.34  •  sd: 74.7  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
96 Y'all** Win 15-2 595.64 Ignored Jun 17th SCINNY1
72 KnoxFusion** Win 15-6 1093.2 Ignored Jun 17th SCINNY1
102 Solstice** Win 15-2 281.02 Ignored Jun 17th SCINNY1
103 Bullseye** Win 15-1 100.11 Ignored Jun 17th SCINNY1
92 Sureshot** Win 15-3 647.83 Ignored Jun 18th SCINNY1
92 Sureshot** Win 15-1 647.83 Ignored Jun 18th SCINNY1
72 KnoxFusion** Win 15-4 1093.2 Ignored Jun 18th SCINNY1
60 Wicked Win 12-10 961.04 Jul 8th Heavyweights 2023
83 Autonomous** Win 13-1 876.44 Ignored Jul 8th Heavyweights 2023
62 Dish Win 13-5 1302.78 Jul 8th Heavyweights 2023
93 Freshwater Ultimate** Win 13-1 645.38 Ignored Jul 8th Heavyweights 2023
41 Heist Win 13-7 1598.63 Jul 9th Heavyweights 2023
90 Twisted Womxn** Win 13-1 703.82 Ignored Jul 9th Heavyweights 2023
54 Stellar Win 13-7 1434.47 Jul 9th Heavyweights 2023
32 Crush City Loss 9-11 1064.19 Jul 29th TCT Select Flight East 2023
62 Dish Win 15-4 1302.78 Jul 29th TCT Select Flight East 2023
50 Drift Win 14-6 1514.94 Jul 29th TCT Select Flight East 2023
39 Brooklyn Book Club Win 12-10 1321.32 Jul 30th TCT Select Flight East 2023
22 Siege Loss 9-14 1067.61 Jul 30th TCT Select Flight East 2023
31 Rival Win 14-10 1765.14 Jul 30th TCT Select Flight East 2023
27 Underground Loss 4-15 825.92 Aug 19th TCT Elite Select Challenge 2023
16 Grit Loss 6-15 1090.14 Aug 19th TCT Elite Select Challenge 2023
13 Nightlock** Loss 4-15 1231.52 Ignored Aug 19th TCT Elite Select Challenge 2023
25 Colorado Small Batch Loss 8-13 963.31 Aug 20th TCT Elite Select Challenge 2023
38 FAB Win 10-8 1381.93 Aug 20th TCT Elite Select Challenge 2023
29 Pop Loss 7-14 819.24 Aug 20th TCT Elite Select Challenge 2023
62 Dish Win 14-9 1176.65 Sep 9th 2023 Womens Central Plains Sectional Championship
102 Solstice** Win 15-0 281.02 Ignored Sep 23rd 2023 Great Lakes Womens Regional Championship
80 Notorious C.L.E.** Win 15-4 902.98 Ignored Sep 23rd 2023 Great Lakes Womens Regional Championship
12 Nemesis** Loss 5-15 1331.46 Ignored Sep 23rd 2023 Great Lakes Womens Regional Championship
96 Y'all** Win 15-5 595.64 Ignored Sep 24th 2023 Great Lakes Womens Regional Championship
62 Dish Win 15-9 1218.26 Sep 24th 2023 Great Lakes Womens Regional Championship
31 Rival Loss 10-15 912.83 Sep 24th 2023 Great Lakes Womens Regional Championship
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)