#135 Trinity (10-12)

avg: 802.96  •  sd: 47.59  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
88 Rice Loss 7-9 848.07 Feb 8th Rice Antifreeze 2025
205 Texas A&M Win 9-5 877.11 Feb 8th Rice Antifreeze 2025
- Texas State Win 11-6 788.16 Feb 8th Rice Antifreeze 2025
255 Texas-B** Win 13-4 464.54 Ignored Feb 8th Rice Antifreeze 2025
88 Rice Loss 5-8 673.8 Feb 9th Rice Antifreeze 2025
177 Tulane Win 10-5 1146.07 Feb 9th Rice Antifreeze 2025
172 Florida State Win 10-6 1095.92 Feb 22nd Mardi Gras XXXVII
124 Jacksonville State Win 9-8 1010.74 Feb 22nd Mardi Gras XXXVII
71 Union (Tennessee) Loss 5-9 741.3 Feb 22nd Mardi Gras XXXVII
71 Union (Tennessee) Loss 8-10 1007.69 Feb 22nd Mardi Gras XXXVII
40 California** Loss 5-13 981.98 Ignored Mar 22nd Womens Centex 2025
66 Illinois Loss 6-15 708.53 Mar 22nd Womens Centex 2025
205 Texas A&M Win 7-4 844.21 Mar 22nd Womens Centex 2025
43 Washington University** Loss 5-13 960.35 Ignored Mar 22nd Womens Centex 2025
147 Boston University Loss 6-14 122.6 Mar 23rd Womens Centex 2025
73 Colorado College Loss 7-11 793.27 Mar 23rd Womens Centex 2025
73 Colorado College Loss 6-11 713.47 Apr 12th South Central D III Womens Conferences 2025
88 Rice Loss 7-10 737.74 Apr 12th South Central D III Womens Conferences 2025
200 Truman State Win 12-8 875.14 Apr 12th South Central D III Womens Conferences 2025
251 Colorado College-B** Win 14-1 553.91 Ignored Apr 13th South Central D III Womens Conferences 2025
88 Rice Loss 8-11 761.79 Apr 13th South Central D III Womens Conferences 2025
200 Truman State Win 7-2 1033.99 Apr 13th South Central D III Womens Conferences 2025
**Blowout Eligible

FAQ

What is the uncertainty of the mean?
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
What's the algorithm again?
  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
Is there a longer explanation of all this?
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)