#204 SUNY-Buffalo (6-11)

avg: 971.8  •  sd: 62.88  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
148 Michigan-B Loss 8-13 685.79 Mar 9th Boogienights 2019
68 Cincinnati Loss 8-13 1019.21 Mar 9th Boogienights 2019
368 Cleveland State Win 13-4 987.5 Mar 9th Boogienights 2019
226 Miami (Ohio) Win 15-9 1431.93 Mar 10th Boogienights 2019
172 Miami-Upper Win 13-10 1402.4 Mar 10th Boogienights 2019
68 Cincinnati Loss 9-15 999.89 Mar 10th Boogienights 2019
33 Johns Hopkins Loss 8-13 1235.01 Mar 16th Oak Creek Invite 2019
66 Penn State Loss 5-13 935.24 Mar 16th Oak Creek Invite 2019
108 North Carolina-Charlotte Loss 10-11 1200.07 Mar 16th Oak Creek Invite 2019
54 Virginia Tech** Loss 4-13 1019.44 Ignored Mar 16th Oak Creek Invite 2019
142 Princeton Loss 11-14 896.37 Mar 17th Oak Creek Invite 2019
197 George Mason Loss 3-15 401.39 Mar 17th Oak Creek Invite 2019
413 Siena** Win 13-3 748.57 Ignored Mar 30th Uprising 8
281 Skidmore Loss 11-12 624.6 Mar 30th Uprising 8
190 Maine Loss 8-9 900.06 Mar 30th Uprising 8
396 SUNY-Binghamton-B** Win 13-1 851.31 Ignored Mar 30th Uprising 8
396 SUNY-Binghamton-B** Win 15-5 851.31 Ignored Mar 31st Uprising 8
**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)