#149 ColorBomb (11-12)

avg: 805.31  •  sd: 62.44  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
141 PS Loss 7-13 287.04 Jun 24th LVU’s Disc Days of Summer 2023
84 Buffalo Lake Effect Loss 5-10 556.32 Jun 24th LVU’s Disc Days of Summer 2023
59 Greater Baltimore Anthem Loss 7-12 788.52 Jun 24th LVU’s Disc Days of Summer 2023
119 Mashed Loss 6-13 383.99 Jun 24th LVU’s Disc Days of Summer 2023
183 Starfire Win 9-5 1132.03 Jun 25th LVU’s Disc Days of Summer 2023
184 Crucible Win 8-7 725.41 Jun 25th LVU’s Disc Days of Summer 2023
22 Storm Loss 6-11 1142.65 Aug 5th Philly Open 2023
91 Brackish Loss 6-8 785.61 Aug 5th Philly Open 2023
216 Brooklyn Hive Win 9-8 530.07 Aug 5th Philly Open 2023
243 NYWT Win 10-5 677.65 Aug 5th Philly Open 2023
175 Philly Twist Win 10-7 1045.21 Aug 6th Philly Open 2023
111 Lampshade Win 9-8 1130.42 Aug 6th Philly Open 2023
178 Eat Lightning Loss 9-10 524.39 Aug 26th The Incident 2023
216 Brooklyn Hive Win 10-9 530.07 Aug 26th The Incident 2023
62 Funk Loss 6-11 715.2 Aug 26th The Incident 2023
111 Lampshade Loss 2-13 405.42 Aug 26th The Incident 2023
97 Farm Show Win 11-9 1304.3 Aug 27th The Incident 2023
111 Lampshade Loss 3-14 405.42 Aug 27th The Incident 2023
184 Crucible Win 13-5 1200.41 Sep 9th 2023 Mixed Founders Sectional Championship
24 Loco Loss 6-13 1070.85 Sep 9th 2023 Mixed Founders Sectional Championship
50 Jughandle Loss 5-13 793.45 Sep 9th 2023 Mixed Founders Sectional Championship
141 PS Win 9-7 1123.91 Sep 10th 2023 Mixed Founders Sectional Championship
227 The Incidentals Win 9-4 913.98 Sep 10th 2023 Mixed Founders 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)