#89 Three Rivers Ultimate Club (14-6)

avg: 1120.31  •  sd: 51.02  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
240 PanIC Win 13-9 560.22 Jul 22nd Corny Classic II
161 Prion Win 13-8 1279.77 Jul 22nd Corny Classic II
156 Stackcats Win 12-9 1159.19 Jul 22nd Corny Classic II
210 Chalice** Win 15-6 1060.57 Ignored Jul 23rd Corny Classic II
146 Indiana Pterodactyl Attack Win 15-11 1219.99 Jul 23rd Corny Classic II
121 Jabba Win 12-11 1109.87 Jul 23rd Corny Classic II
104 Queen City Gambit Loss 9-12 704.27 Aug 19th Motown Throwdown 2023
191 2Fly2Furious Win 13-5 1193.77 Aug 19th Motown Throwdown 2023
119 Trex Mix Win 12-7 1517.27 Aug 19th Motown Throwdown 2023
50 Steamboat Loss 7-10 1000.83 Aug 20th Motown Throwdown 2023
100 Columbus Chaos Loss 10-11 934.97 Aug 20th Motown Throwdown 2023
186 Crucible Win 15-6 1215.92 Aug 20th Motown Throwdown 2023
146 Indiana Pterodactyl Attack Win 11-3 1438.82 Aug 20th Motown Throwdown 2023
129 Bandwagon Win 11-9 1168.42 Sep 9th 2023 Mixed Central Plains Sectional Championship
30 Chicago Parlay Loss 4-15 1063.97 Sep 9th 2023 Mixed Central Plains Sectional Championship
110 Nothing's Great Again Win 10-8 1285.66 Sep 9th 2023 Mixed Central Plains Sectional Championship
121 Jabba Loss 12-13 859.87 Sep 9th 2023 Mixed Central Plains Sectional Championship
143 Skyhawks Win 14-12 1072.45 Sep 10th 2023 Mixed Central Plains Sectional Championship
30 Chicago Parlay Loss 7-15 1063.97 Sep 10th 2023 Mixed Central Plains Sectional Championship
110 Nothing's Great Again Win 10-7 1412.66 Sep 10th 2023 Mixed Central Plains 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)