#91 Brackish (19-9)

avg: 1086.1  •  sd: 66.29  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
164 Espionage Win 11-0 1371.56 Jun 24th Seven Cities Show Down
201 Spice Win 11-6 1070.62 Jun 24th Seven Cities Show Down
106 Ant Madness Win 10-5 1601.8 Jun 24th Seven Cities Show Down
195 Swampbenders Win 11-4 1148.56 Jun 24th Seven Cities Show Down
104 Legion Win 10-7 1423.84 Jun 24th Seven Cities Show Down
46 Revival Loss 12-15 1135.57 Jun 25th Seven Cities Show Down
177 District Cocktails Win 15-6 1249.62 Jun 25th Seven Cities Show Down
104 Legion Win 15-6 1634.18 Jun 25th Seven Cities Show Down
237 Rampage** Win 13-2 803.33 Ignored Jul 22nd Filling the Void 2023
133 904 Shipwreck Win 13-12 998.62 Jul 22nd Filling the Void 2023
106 Ant Madness Loss 11-12 902.9 Jul 22nd Filling the Void 2023
137 Catalyst Loss 6-13 254.77 Jul 22nd Filling the Void 2023
248 Pickles** Win 13-2 626.54 Ignored Jul 23rd Filling the Void 2023
133 904 Shipwreck Loss 4-11 273.62 Jul 23rd Filling the Void 2023
69 Too Much Fun Win 11-9 1466.49 Jul 23rd Filling the Void 2023
22 Storm Loss 6-13 1089.35 Aug 5th Philly Open 2023
243 NYWT** Win 13-3 703.75 Ignored Aug 5th Philly Open 2023
149 ColorBomb Win 8-6 1105.8 Aug 5th Philly Open 2023
114 One More Year Loss 11-13 769.48 Aug 6th Philly Open 2023
146 Heavy Flow Win 13-9 1242.56 Aug 6th Philly Open 2023
155 NY Swipes Win 10-7 1180.08 Aug 6th Philly Open 2023
201 Spice Win 12-7 1044.44 Sep 9th 2023 Mixed Capital Sectional Championship
114 One More Year Loss 12-13 873.32 Sep 9th 2023 Mixed Capital Sectional Championship
250 Vanguard and Friends** Win 13-2 478.94 Ignored Sep 9th 2023 Mixed Capital Sectional Championship
177 District Cocktails Win 14-5 1249.62 Sep 10th 2023 Mixed Capital Sectional Championship
66 HVAC Loss 10-11 1119.45 Sep 10th 2023 Mixed Capital Sectional Championship
104 Legion Loss 9-10 909.18 Sep 10th 2023 Mixed Capital Sectional Championship
146 Heavy Flow Win 12-7 1344.5 Sep 10th 2023 Mixed Capital Sectional 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)