#223 Rensselaer Polytech (5-13)

avg: 916.61  •  sd: 61.51  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
113 Davidson Loss 7-9 1022.56 Mar 2nd FCS D III Tune Up 2019
155 Elon Loss 10-13 821.44 Mar 2nd FCS D III Tune Up 2019
247 Xavier Loss 11-12 749.74 Mar 2nd FCS D III Tune Up 2019
251 Samford Loss 11-13 622.48 Mar 2nd FCS D III Tune Up 2019
182 Messiah Loss 10-13 714.69 Mar 3rd FCS D III Tune Up 2019
173 Georgia College Loss 10-13 740.97 Mar 3rd FCS D III Tune Up 2019
183 Oberlin Win 13-6 1641.96 Mar 3rd FCS D III Tune Up 2019
268 Ithaca Win 10-5 1361.3 Mar 23rd Spring Awakening 8
193 Colgate Loss 9-10 886.84 Mar 23rd Spring Awakening 8
293 Wentworth Win 9-7 980.74 Mar 23rd Spring Awakening 8
96 Bowdoin Loss 8-9 1242.81 Mar 23rd Spring Awakening 8
393 Susquehanna** Win 13-4 867.6 Ignored Mar 24th Spring Awakening 8
178 Army Loss 9-11 810.52 Mar 24th Spring Awakening 8
110 Williams Loss 5-13 715.82 Mar 30th Uprising 8
210 Rochester Win 9-8 1078.29 Mar 30th Uprising 8
193 Colgate Loss 11-13 783 Mar 30th Uprising 8
193 Colgate Loss 11-12 886.84 Mar 31st Uprising 8
281 Skidmore Loss 12-13 624.6 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)