#157 Grand Valley (14-13)

avg: 1232.58  •  sd: 42.1  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
212 Cedarville Loss 9-10 890.17 Mar 15th Grand Rapids Invite 2025
271 Wisconsin-Platteville Win 14-10 1194.32 Mar 15th Grand Rapids Invite 2025
221 Michigan-B Win 12-6 1558.68 Mar 15th Grand Rapids Invite 2025
223 Wisconsin-B Win 9-5 1505.12 Mar 15th Grand Rapids Invite 2025
294 Ball State Win 10-7 1104.27 Mar 16th Grand Rapids Invite 2025
221 Michigan-B Win 12-9 1324.73 Mar 16th Grand Rapids Invite 2025
150 Toronto Win 13-11 1491.43 Mar 16th Grand Rapids Invite 2025
127 Butler Loss 11-12 1210.19 Mar 29th Corny Classic College 2025
167 Dayton Win 10-9 1316.95 Mar 29th Corny Classic College 2025
59 Illinois Loss 8-10 1387.53 Mar 29th Corny Classic College 2025
263 Toledo Win 13-7 1377.96 Mar 29th Corny Classic College 2025
167 Dayton Win 10-7 1581.61 Mar 30th Corny Classic College 2025
59 Illinois Loss 8-13 1154.03 Mar 30th Corny Classic College 2025
152 Lipscomb Win 8-7 1378.36 Mar 30th Corny Classic College 2025
203 Eastern Michigan Win 9-6 1461.74 Apr 12th Michigan D I Mens Conferences 2025
61 Michigan State Loss 7-12 1115.56 Apr 12th Michigan D I Mens Conferences 2025
26 Michigan** Loss 3-13 1303.48 Ignored Apr 12th Michigan D I Mens Conferences 2025
304 Western Michigan Win 9-5 1194.8 Apr 12th Michigan D I Mens Conferences 2025
203 Eastern Michigan Win 12-7 1563.69 Apr 13th Michigan D I Mens Conferences 2025
61 Michigan State Loss 8-12 1194.91 Apr 13th Michigan D I Mens Conferences 2025
59 Illinois Loss 6-13 1050.19 Apr 26th Great Lakes D I Mens Regionals 2025
53 Purdue Loss 7-13 1135.35 Apr 26th Great Lakes D I Mens Regionals 2025
257 Illinois-B Win 13-10 1173.88 Apr 26th Great Lakes D I Mens Regionals 2025
61 Michigan State Loss 11-14 1322.73 Apr 26th Great Lakes D I Mens Regionals 2025
221 Michigan-B Loss 11-15 598.2 Apr 27th Great Lakes D I Mens Regionals 2025
95 Southern Illinois-Edwardsville Loss 12-15 1170.47 Apr 27th Great Lakes D I Mens Regionals 2025
153 Kentucky Loss 9-11 999.28 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)