#148 Grand Valley (14-12)

avg: 1279.74  •  sd: 34.85  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
209 Cedarville Loss 9-10 906.4 Mar 15th Grand Rapids Invite 2025
266 Wisconsin-Platteville Win 14-10 1209.97 Mar 15th Grand Rapids Invite 2025
227 Michigan-B Win 12-6 1541.29 Mar 15th Grand Rapids Invite 2025
222 Wisconsin-B Win 9-5 1519.02 Mar 15th Grand Rapids Invite 2025
292 Ball State Win 10-7 1120.09 Mar 16th Grand Rapids Invite 2025
227 Michigan-B Win 12-9 1307.35 Mar 16th Grand Rapids Invite 2025
147 Toronto Win 13-11 1508.95 Mar 16th Grand Rapids Invite 2025
125 Butler Loss 11-12 1226.62 Mar 29th Corny Classic College 2025
165 Dayton Win 10-9 1336.18 Mar 29th Corny Classic College 2025
58 Illinois Loss 8-10 1410.28 Mar 29th Corny Classic College 2025
260 Toledo Win 13-7 1394.74 Mar 29th Corny Classic College 2025
165 Dayton Win 10-7 1600.84 Mar 30th Corny Classic College 2025
58 Illinois Loss 8-13 1176.78 Mar 30th Corny Classic College 2025
151 Lipscomb Win 8-7 1397.07 Mar 30th Corny Classic College 2025
202 Eastern Michigan Win 9-6 1477.68 Apr 12th Michigan D I Mens Conferences 2025
61 Michigan State Loss 7-12 1138.13 Apr 12th Michigan D I Mens Conferences 2025
26 Michigan** Loss 3-13 1327.18 Ignored Apr 12th Michigan D I Mens Conferences 2025
302 Western Michigan Win 9-5 1209.62 Apr 12th Michigan D I Mens Conferences 2025
202 Eastern Michigan Win 12-7 1579.63 Apr 13th Michigan D I Mens Conferences 2025
61 Michigan State Loss 8-12 1217.48 Apr 13th Michigan D I Mens Conferences 2025
58 Illinois Loss 6-13 1072.94 Apr 26th Great Lakes D I Mens Regionals 2025
52 Purdue Loss 7-13 1156.53 Apr 26th Great Lakes D I Mens Regionals 2025
256 Illinois-B Win 13-10 1188.96 Apr 26th Great Lakes D I Mens Regionals 2025
61 Michigan State Loss 11-14 1345.3 Apr 26th Great Lakes D I Mens Regionals 2025
93 Southern Illinois-Edwardsville Loss 12-15 1187.14 Apr 27th Great Lakes D I Mens Regionals 2025
153 Kentucky Loss 9-11 1016.37 Apr 27th Great Lakes D I 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)