#52 Void Cat Rewind (14-13)

avg: 893.58  •  sd: 68.29  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
99 Off Their Rockers** Win 15-2 441.59 Ignored Jun 10th Bay Area Ultimate Classic 2023
38 FAB Loss 8-10 856.6 Jun 10th Bay Area Ultimate Classic 2023
89 Tempo** Win 15-2 738.45 Ignored Jun 10th Bay Area Ultimate Classic 2023
100 Just Add Water** Win 15-5 418.85 Ignored Jun 11th Bay Area Ultimate Classic 2023
21 LOL** Loss 5-15 959.51 Ignored Jun 11th Bay Area Ultimate Classic 2023
98 Ultraviolet** Win 15-3 511.22 Ignored Jun 11th Bay Area Ultimate Classic 2023
68 Venom Win 14-5 1155.5 Jul 15th TCT Select Flight West 2023
87 Haboob Win 9-7 436.05 Jul 15th TCT Select Flight West 2023
21 LOL** Loss 4-15 959.51 Ignored Jul 16th TCT Select Flight West 2023
20 Wildfire Loss 7-15 960.61 Jul 16th TCT Select Flight West 2023
38 FAB Loss 4-9 519.26 Jul 16th TCT Select Flight West 2023
79 Swell Win 10-4 949.65 Aug 19th Ski Town Classic 2023
49 Trainwreck Win 9-7 1213.4 Aug 19th Ski Town Classic 2023
32 Crush City Loss 7-13 755.86 Aug 19th Ski Town Classic 2023
51 Seven Devils Loss 6-11 360.49 Aug 20th Ski Town Classic 2023
49 Trainwreck Win 8-7 1059.06 Aug 20th Ski Town Classic 2023
45 Rampage Loss 2-7 373.75 Aug 20th Ski Town Classic 2023
89 Tempo** Win 15-3 738.45 Ignored Sep 9th 2023 Womens NorCal Sectional Championship
38 FAB Win 10-7 1508.93 Sep 9th 2023 Womens NorCal Sectional Championship
89 Tempo** Win 15-2 738.45 Ignored Sep 10th 2023 Womens NorCal Sectional Championship
21 LOL** Loss 5-15 959.51 Ignored Sep 10th 2023 Womens NorCal Sectional Championship
68 Venom Win 10-7 945.17 Sep 23rd 2023 Southwest Womens Regional Championship
38 FAB Loss 6-13 519.26 Sep 23rd 2023 Southwest Womens Regional Championship
3 Fury** Loss 0-13 1854.65 Ignored Sep 23rd 2023 Southwest Womens Regional Championship
21 LOL Loss 6-13 959.51 Sep 23rd 2023 Southwest Womens Regional Championship
20 Wildfire** Loss 4-15 960.61 Ignored Sep 24th 2023 Southwest Womens Regional Championship
45 Rampage Win 14-11 1287.09 Sep 24th 2023 Southwest Womens Regional Championship
**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)