#212 Mixed Results (6-18)

avg: 514.05  •  sd: 76.29  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
63 Rowdy** Loss 0-13 688.72 Ignored Jun 23rd Summer Glazed Daze 2018
224 Stormborn Win 13-6 957.45 Jun 23rd Summer Glazed Daze 2018
42 Mixfits** Loss 5-13 874.53 Ignored Jun 23rd Summer Glazed Daze 2018
41 Storm** Loss 3-13 879.16 Ignored Jun 23rd Summer Glazed Daze 2018
101 Tyrannis Loss 4-13 512.39 Jun 24th Summer Glazed Daze 2018
219 Carolina Reign Loss 11-14 112.13 Jun 24th Summer Glazed Daze 2018
149 Crucible Loss 7-15 279.71 Jun 24th Summer Glazed Daze 2018
115 STAX Loss 7-13 479.9 Jul 7th Huckfest 2018
177 OutKast Win 13-9 1115.71 Jul 7th Huckfest 2018
151 LoveShack Loss 8-13 360.27 Jul 7th Huckfest 2018
226 Baywatch Win 7-6 471.12 Jul 7th Huckfest 2018
238 Strictly Bidness Win 13-5 787.41 Jul 8th Huckfest 2018
175 Possum Loss 8-13 236.33 Jul 8th Huckfest 2018
188 Hairy Otter Loss 8-12 200.1 Jul 8th Huckfest 2018
208 Bonfire Loss 2-10 -65.31 Aug 25th Indy Invite Club 2018
38 Columbus Cocktails** Loss 4-11 900.3 Ignored Aug 26th Indy Invite Club 2018
103 Trash Pandas Loss 1-11 505.22 Aug 26th Indy Invite Club 2018
134 Petey's Pirates Loss 3-11 357.75 Aug 26th Indy Invite Club 2018
172 Los Heros Loss 6-8 444.29 Aug 26th Indy Invite Club 2018
238 Strictly Bidness Win 12-9 532.78 Sep 8th East Coast Mixed Sectional Championship 2018
151 LoveShack Loss 9-11 607.23 Sep 8th East Coast Mixed Sectional Championship 2018
84 'Shine Loss 6-12 642.15 Sep 8th East Coast Mixed Sectional Championship 2018
- sKNO cone Loss 8-12 456.8 Sep 8th East Coast Mixed Sectional Championship 2018
213 Heartbreakers Win 11-5 1098.98 Sep 9th East Coast Mixed Sectional Championship 2018
**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)