#127 Butler (17-9)

avg: 1335.19  •  sd: 67.98  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
307 Cleveland State** Win 13-1 1253.92 Ignored Mar 1st Huckin in the Hills XI
244 Kent State Win 13-1 1491.15 Mar 1st Huckin in the Hills XI
215 Akron Win 13-4 1597.92 Mar 2nd Huckin in the Hills XI
266 Drexel Win 13-8 1301.46 Mar 2nd Huckin in the Hills XI
179 Ohio Win 12-11 1276.21 Mar 2nd Huckin in the Hills XI
129 Asbury Loss 2-13 724.98 Mar 23rd Butler Spring Fling 2025
112 Hillsdale Win 13-7 1933.64 Mar 23rd Butler Spring Fling 2025
241 Xavier Win 13-7 1457.09 Mar 23rd Butler Spring Fling 2025
157 Grand Valley Win 12-11 1357.58 Mar 29th Corny Classic College 2025
167 Dayton Loss 7-11 725.05 Mar 29th Corny Classic College 2025
59 Illinois Loss 5-13 1050.19 Mar 29th Corny Classic College 2025
190 Vanderbilt Loss 10-13 761.07 Mar 29th Corny Classic College 2025
129 Asbury Win 15-9 1840.46 Apr 12th Eastern Great Lakes D III Mens Conferences 2025
270 Valparaiso Win 15-8 1361.21 Apr 12th Eastern Great Lakes D III Mens Conferences 2025
112 Hillsdale Loss 10-15 922.5 Apr 12th Eastern Great Lakes D III Mens Conferences 2025
240 Kalamazoo Win 15-4 1502.48 Apr 12th Eastern Great Lakes D III Mens Conferences 2025
129 Asbury Win 13-8 1821.14 Apr 13th Eastern Great Lakes D III Mens Conferences 2025
15 Davenport** Loss 1-15 1441.09 Ignored Apr 13th Eastern Great Lakes D III Mens Conferences 2025
112 Hillsdale Win 13-12 1501.1 Apr 13th Eastern Great Lakes D III Mens Conferences 2025
129 Asbury Loss 10-15 871.37 Apr 26th Great Lakes D III Mens Regionals 2025
240 Kalamazoo Win 15-5 1502.48 Apr 26th Great Lakes D III Mens Regionals 2025
298 Knox** Win 15-4 1296.55 Ignored Apr 26th Great Lakes D III Mens Regionals 2025
15 Davenport** Loss 2-15 1441.09 Ignored Apr 26th Great Lakes D III Mens Regionals 2025
129 Asbury Win 15-8 1889.78 Apr 27th Great Lakes D III Mens Regionals 2025
240 Kalamazoo Win 15-6 1502.48 Apr 27th Great Lakes D III Mens Regionals 2025
112 Hillsdale Loss 10-15 922.5 Apr 27th Great Lakes D III Mens Regionals 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)