#100 NC Galaxy (12-12)

avg: 1116.4  •  sd: 51.13  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
43 Murmur Loss 3-13 861.98 Jun 22nd Summer Glazed Daze 2019
15 Loco** Loss 3-13 1156.06 Ignored Jun 22nd Summer Glazed Daze 2019
149 Rowdy Loss 9-10 745.54 Jun 22nd Summer Glazed Daze 2019
128 Legion Loss 10-13 663.51 Jun 22nd Summer Glazed Daze 2019
233 Stormborn Win 13-7 1007.89 Jun 23rd Summer Glazed Daze 2019
173 Piedmont United Win 13-6 1357.62 Jun 23rd Summer Glazed Daze 2019
116 Seoulmates Loss 11-13 828.08 Jun 23rd Summer Glazed Daze 2019
77 Ant Madness Loss 5-7 893.46 Jun 23rd Summer Glazed Daze 2019
160 APEX Win 13-4 1428.62 Jul 13th Hometown Mix Up 2019
18 Superlame Loss 8-11 1339.66 Jul 13th Hometown Mix Up 2019
236 RnB** Win 13-3 1033.03 Ignored Jul 13th Hometown Mix Up 2019
149 Rowdy Win 11-8 1236.15 Jul 13th Hometown Mix Up 2019
173 Piedmont United Win 13-4 1357.62 Jul 14th Hometown Mix Up 2019
83 FlyTrap Loss 7-8 1043.3 Jul 14th Hometown Mix Up 2019
149 Rowdy Loss 5-7 542.4 Jul 14th Hometown Mix Up 2019
173 Piedmont United Win 15-3 1357.62 Aug 24th FCS Invite 2019
171 Carolina Reaper Win 15-11 1142.55 Aug 24th FCS Invite 2019
18 Superlame Loss 6-12 1125.96 Sep 7th North Carolina Mixed Club Sectional Championship 2019
173 Piedmont United Win 13-5 1357.62 Sep 7th North Carolina Mixed Club Sectional Championship 2019
171 Carolina Reaper Win 12-7 1281.9 Sep 7th North Carolina Mixed Club Sectional Championship 2019
54 Malice in Wonderland Loss 9-10 1217.03 Sep 7th North Carolina Mixed Club Sectional Championship 2019
273 Rampage Win 13-6 832.02 Sep 8th North Carolina Mixed Club Sectional Championship 2019
149 Rowdy Win 13-4 1470.54 Sep 8th North Carolina Mixed Club Sectional Championship 2019
116 Seoulmates Loss 8-10 794.25 Sep 8th North Carolina 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)