#157 Hellbenders (8-16)

avg: 910.56  •  sd: 47.56  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
22 Chalice** Loss 3-13 1117.13 Ignored Jun 29th Spirit of the Plains 2019
209 Pushovers-B Win 13-10 987.57 Jun 29th Spirit of the Plains 2019
93 PanIC Win 11-9 1433.9 Jun 30th Spirit of the Plains 2019
65 7 Sins Loss 6-9 915.06 Jun 30th Spirit of the Plains 2019
254 Robotic Snakes Win 11-3 1004.08 Jun 30th Spirit of the Plains 2019
53 Pretty Boys and Handsome Girls Loss 10-11 1308.83 Jun 30th Spirit of the Plains 2019
84 Ouzel Loss 8-12 793.62 Jul 20th The Royal Experience 2019
123 Impact Loss 9-12 732.12 Jul 20th The Royal Experience 2019
254 Robotic Snakes Loss 10-11 279.08 Jul 20th The Royal Experience 2019
65 7 Sins Loss 10-15 880.02 Jul 21st The Royal Experience 2019
254 Robotic Snakes Win 15-3 1004.08 Jul 21st The Royal Experience 2019
123 Impact Loss 5-8 623.88 Jul 21st The Royal Experience 2019
49 Boomtown Loss 7-13 906.44 Aug 17th Hootie on the Hill 2019
70 Memphis STAX Loss 9-13 882.96 Aug 17th Hootie on the Hill 2019
123 Impact Win 13-11 1306.33 Aug 17th Hootie on the Hill 2019
243 rubber duck ultimate. Win 13-9 881.21 Aug 17th Hootie on the Hill 2019
107 blOKC party Loss 11-15 765.48 Aug 18th Hootie on the Hill 2019
65 7 Sins Loss 9-15 818.14 Aug 18th Hootie on the Hill 2019
22 Chalice** Loss 4-13 1117.13 Ignored Sep 7th West Plains Mixed Club Sectional Championship 2019
42 Woodwork Loss 6-13 929.81 Sep 7th West Plains Mixed Club Sectional Championship 2019
123 Impact Loss 9-10 952.49 Sep 7th West Plains Mixed Club Sectional Championship 2019
65 7 Sins Loss 6-13 733.62 Sep 8th West Plains Mixed Club Sectional Championship 2019
253 LudICRous Win 13-6 1011.84 Sep 8th West Plains Mixed Club Sectional Championship 2019
254 Robotic Snakes Win 13-7 961.61 Sep 8th West Plains Mixed Club Sectional Championship 2019
**Blowout Eligible

FAQ

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
  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
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)