#249 LudICRous (1-12)

avg: -220.8  •  sd: 139.74  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
34 Woodwork** Loss 1-13 915.38 Ignored Jun 30th Spirit of the Plains 2018
70 Chalice** Loss 3-13 676.63 Ignored Jun 30th Spirit of the Plains 2018
247 Macalester College[C] Win 11-8 234.54 Jun 30th Spirit of the Plains 2018
166 Spirit Fowl** Loss 5-13 187.68 Ignored Jun 30th Spirit of the Plains 2018
229 Pushovers-C Loss 3-13 -281.73 Jul 1st Spirit of the Plains 2018
247 Macalester College[C] Loss 7-9 -410.41 Jul 1st Spirit of the Plains 2018
185 Boomtown Pandas** Loss 4-13 50.51 Ignored Aug 18th Cooler Classic 30
111 panIC** Loss 1-13 466.49 Ignored Aug 18th Cooler Classic 30
186 Jabba** Loss 3-13 50.2 Ignored Aug 18th Cooler Classic 30
211 Stackcats** Loss 5-12 -81.02 Ignored Aug 18th Cooler Classic 30
233 ALTimate Brews Loss 6-15 -311.64 Aug 19th Cooler Classic 30
229 Pushovers-C Loss 6-15 -281.73 Aug 19th Cooler Classic 30
217 Mastodon** Loss 5-15 -116.96 Ignored Aug 19th Cooler Classic 30
**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)