#84 'Shine (22-13)

avg: 1221.46  •  sd: 81.21  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
27 Weird Loss 2-5 977.85 Jul 7th Huckfest 2018
122 Huntsville Outlaws Loss 11-13 787.88 Jul 7th Huckfest 2018
240 Memphis Hustle & Flow** Win 13-1 744.49 Ignored Jul 7th Huckfest 2018
238 Strictly Bidness** Win 15-2 787.41 Ignored Jul 7th Huckfest 2018
27 Weird Loss 7-11 1110.95 Jul 8th Huckfest 2018
103 Trash Pandas Win 12-8 1546.38 Jul 8th Huckfest 2018
115 STAX Win 12-10 1275.55 Jul 8th Huckfest 2018
90 Mutiny Win 12-7 1686.2 Aug 11th HoDown%20ShowDown%20XXII
78 Malice in Wonderland Win 11-8 1609.15 Aug 11th HoDown%20ShowDown%20XXII
183 BRUH Win 11-4 1267.06 Aug 11th HoDown%20ShowDown%20XXII
205 Fifth Element Win 11-9 793.19 Aug 11th HoDown%20ShowDown%20XXII
42 Mixfits Loss 13-15 1260.35 Aug 12th HoDown%20ShowDown%20XXII
56 Murmur Win 15-13 1535.35 Aug 12th HoDown%20ShowDown%20XXII
63 Rowdy Win 15-13 1502.9 Aug 12th HoDown%20ShowDown%20XXII
155 Liquid Hustle Win 5-3 1260.39 Aug 25th Indy Invite Club 2018
196 Thunderpants the Magic Dragon** Win 11-4 1194.46 Ignored Aug 26th Indy Invite Club 2018
103 Trash Pandas Loss 6-7 980.22 Aug 26th Indy Invite Club 2018
125 Hybrid Win 9-7 1286.95 Aug 26th Indy Invite Club 2018
172 Los Heros Win 9-4 1344.78 Aug 26th Indy Invite Club 2018
155 Liquid Hustle Loss 6-7 716.83 Aug 26th Indy Invite Club 2018
212 Mixed Results Win 12-6 1093.36 Sep 8th East Coast Mixed Sectional Championship 2018
56 Murmur Loss 7-13 763.64 Sep 8th East Coast Mixed Sectional Championship 2018
- sKNO cone Win 13-7 1455.49 Sep 8th East Coast Mixed Sectional Championship 2018
151 LoveShack Win 13-7 1413.97 Sep 8th East Coast Mixed Sectional Championship 2018
103 Trash Pandas Loss 5-13 505.22 Sep 9th East Coast Mixed Sectional Championship 2018
103 Trash Pandas Win 12-9 1450.59 Sep 9th East Coast Mixed Sectional Championship 2018
175 Possum Win 13-6 1332.49 Sep 9th East Coast Mixed Sectional Championship 2018
153 APEX Win 12-6 1432.67 Sep 9th East Coast Mixed Sectional Championship 2018
63 Rowdy Win 12-8 1729.87 Sep 22nd Southeast Mixed Regional Championship 2018
19 Bucket Loss 5-13 1105.23 Sep 22nd Southeast Mixed Regional Championship 2018
54 JLP Loss 11-12 1200.88 Sep 22nd Southeast Mixed Regional Championship 2018
41 Storm Loss 7-13 921.63 Sep 22nd Southeast Mixed Regional Championship 2018
90 Mutiny Loss 11-12 1040.68 Sep 23rd Southeast Mixed Regional Championship 2018
100 FlyTrap Win 11-7 1581.26 Sep 23rd Southeast Mixed Regional Championship 2018
78 Malice in Wonderland Loss 9-11 994.33 Sep 23rd Southeast Mixed Regional 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)