#127 Squid Inc. (12-12)

avg: 915.93  •  sd: 65.46  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
77 Bullet Train Loss 10-13 834.55 Aug 12th Kleinman Eruption 2023
90 Hive Loss 7-13 530.84 Aug 12th Kleinman Eruption 2023
198 Breakers Mark Win 9-5 1068.85 Aug 12th Kleinman Eruption 2023
192 Drip Win 11-10 686.34 Aug 13th Kleinman Eruption 2023
205 Surge Win 10-5 1066.86 Aug 13th Kleinman Eruption 2023
118 Stump Loss 6-10 489.92 Aug 13th Kleinman Eruption 2023
83 Seattle Soft Serve Loss 7-11 665.11 Aug 26th Spawnfest 2023
174 BOP Win 11-10 801.72 Aug 26th Spawnfest 2023
191 Mola Mola Win 15-3 1162.52 Aug 26th Spawnfest 2023
90 Hive Win 13-11 1317.21 Aug 26th Spawnfest 2023
83 Seattle Soft Serve Loss 7-11 665.11 Aug 27th Spawnfest 2023
188 Fable Win 14-11 886.88 Aug 27th Spawnfest 2023
90 Hive Win 11-10 1213.37 Aug 27th Spawnfest 2023
34 Spoke Loss 6-13 944.33 Sep 9th 2023 Mixed Washington Sectional Championship
77 Bullet Train Loss 11-12 1037.69 Sep 9th 2023 Mixed Washington Sectional Championship
191 Mola Mola Win 15-7 1162.52 Sep 9th 2023 Mixed Washington Sectional Championship
174 BOP Win 15-8 1241.53 Sep 10th 2023 Mixed Washington Sectional Championship
77 Bullet Train Win 15-7 1762.69 Sep 10th 2023 Mixed Washington Sectional Championship
72 Grit City Loss 6-13 595.37 Sep 10th 2023 Mixed Washington Sectional Championship
10 Red Flag** Loss 6-15 1276.21 Ignored Sep 23rd 2023 Northwest Mixed Regional Championship
100 Igneous Ultimate Loss 10-12 807.35 Sep 23rd 2023 Northwest Mixed Regional Championship
118 Stump Win 14-13 1111.08 Sep 23rd 2023 Northwest Mixed Regional Championship
125 Garage Sale Loss 8-15 368.36 Sep 24th 2023 Northwest Mixed Regional Championship
77 Bullet Train Loss 8-15 597.88 Sep 24th 2023 Northwest Mixed 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)