#146 Babe (16-9)

avg: 817.36  •  sd: 45.71  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
228 Flying Dutchmen Win 13-12 346.39 Jun 22nd SCINNY 2019
84 Black Lung Loss 12-13 1000.55 Jun 22nd SCINNY 2019
190 A-Block Win 15-12 831.92 Jun 22nd SCINNY 2019
227 Bird Patrol Win 15-8 798.66 Jun 22nd SCINNY 2019
184 Chimney Win 13-9 974.94 Jun 23rd SCINNY 2019
205 Flying Pig Win 15-8 994.19 Jun 23rd SCINNY 2019
133 Kentucky Flying Circus Win 13-11 1113.77 Jun 23rd SCINNY 2019
207 BlackER Market X Win 13-7 965.59 Jul 6th Motown Throwdown 2019
135 Enigma Loss 12-13 750.87 Jul 6th Motown Throwdown 2019
200 NEO Win 12-7 976.41 Jul 6th Motown Throwdown 2019
93 Mango Tree Loss 6-13 483.08 Jul 7th Motown Throwdown 2019
193 Midnight Meat Train Win 13-9 923.65 Jul 7th Motown Throwdown 2019
81 Omen Loss 8-13 642.7 Jul 7th Motown Throwdown 2019
173 Hazard Win 13-11 864.76 Aug 3rd Philly Open 2019
53 Colt Loss 4-13 740.96 Aug 3rd Philly Open 2019
230 Hot Tamales** Win 13-5 778 Ignored Aug 3rd Philly Open 2019
151 Watchdogs Win 12-11 901.5 Aug 3rd Philly Open 2019
211 Bearproof Win 13-6 991.5 Aug 4th Philly Open 2019
112 Somerville BAG Win 15-11 1374.55 Aug 4th Philly Open 2019
33 Nain Rouge Loss 6-13 878.8 Sep 7th East Plains Mens Club Sectional Championship 2019
208 Red Imp.ala Win 13-8 901.71 Sep 7th East Plains Mens Club Sectional Championship 2019
84 Black Lung Loss 3-13 525.55 Sep 8th East Plains Mens Club Sectional Championship 2019
184 Chimney Win 12-10 794.5 Sep 8th East Plains Mens Club Sectional Championship 2019
81 Omen Loss 10-13 810.72 Sep 8th East Plains Mens Club Sectional Championship 2019
135 Enigma Loss 5-11 275.87 Sep 8th East Plains Mens 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)