#94 Appalachian State (11-13)

avg: 1372.43  •  sd: 47.31  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
62 Duke Loss 8-13 1054.84 Jan 25th Carolina Kickoff 2019
55 Florida State Loss 9-13 1193.11 Jan 26th Carolina Kickoff 2019
11 North Carolina State Loss 6-13 1427.57 Jan 26th Carolina Kickoff 2019
73 Temple Loss 8-9 1355.87 Jan 26th Carolina Kickoff 2019
61 Tennessee Loss 9-13 1135.62 Jan 27th Carolina Kickoff 2019
61 Tennessee Win 10-9 1679.19 Feb 9th Queen City Tune Up 2019 Men
40 Dartmouth Win 10-9 1811.47 Feb 9th Queen City Tune Up 2019 Men
14 Ohio State Loss 6-12 1412.75 Feb 9th Queen City Tune Up 2019 Men
1 North Carolina** Loss 2-13 1631.92 Ignored Feb 9th Queen City Tune Up 2019 Men
52 Notre Dame Win 15-14 1751.67 Feb 10th Queen City Tune Up 2019 Men
24 Auburn Loss 5-15 1196.78 Feb 10th Queen City Tune Up 2019 Men
40 Dartmouth Loss 13-15 1472.29 Feb 10th Queen City Tune Up 2019 Men
253 Anderson Win 13-1 1443.09 Feb 23rd Chucktown Throwdown XVI
257 Charleston Win 13-1 1430.33 Feb 23rd Chucktown Throwdown XVI
256 Georgia-B Win 13-6 1431.15 Feb 23rd Chucktown Throwdown XVI
253 Anderson Win 10-9 968.09 Feb 24th Chucktown Throwdown XVI
108 North Carolina-Charlotte Loss 9-12 979.7 Feb 24th Chucktown Throwdown XVI
173 Georgia College Win 12-6 1648.42 Mar 23rd College Southerns XVIII
165 Georgia Southern Win 13-10 1420.05 Mar 23rd College Southerns XVIII
321 Carleton Hot Karls** Win 13-4 1189.49 Ignored Mar 23rd College Southerns XVIII
56 California-San Diego Loss 9-13 1174.2 Mar 23rd College Southerns XVIII
35 Middlebury Loss 8-15 1161.69 Mar 24th College Southerns XVIII
89 Luther Win 14-13 1521.55 Mar 24th College Southerns XVIII
56 California-San Diego Loss 13-14 1467.76 Mar 24th College Southerns XVIII
**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)