#115 RIT (19-15)

avg: 1367  •  sd: 45.99  •  top 16/20: 0%

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# Opponent Result Game Rating Status Date Event
116 Boston University Win 11-7 1830.51 Jan 25th Mid Atlantic Warm Up 2025
61 Michigan State Loss 3-13 1036.07 Jan 25th Mid Atlantic Warm Up 2025
77 Richmond Loss 5-13 964.2 Jan 25th Mid Atlantic Warm Up 2025
238 Virginia Commonwealth Win 10-3 1505.77 Jan 25th Mid Atlantic Warm Up 2025
220 Christopher Newport Win 13-10 1309.5 Jan 26th Mid Atlantic Warm Up 2025
70 Dartmouth Loss 4-15 995.96 Jan 26th Mid Atlantic Warm Up 2025
93 Yale Loss 8-11 1111.15 Jan 26th Mid Atlantic Warm Up 2025
79 Case Western Reserve Loss 9-11 1296.51 Mar 1st Oak Creek Challenge 2025
208 Towson Loss 7-9 745.46 Mar 1st Oak Creek Challenge 2025
330 SUNY-Cortland** Win 10-3 1171.4 Ignored Mar 1st Oak Creek Challenge 2025
51 Cornell Loss 7-13 1148.62 Mar 2nd Oak Creek Challenge 2025
208 Towson Win 10-5 1598.69 Mar 2nd Oak Creek Challenge 2025
113 West Chester Loss 10-11 1250.96 Mar 2nd Oak Creek Challenge 2025
232 George Washington Win 15-4 1524.71 Mar 22nd Atlantic Coast Open 2025
96 Lehigh Loss 7-13 907.08 Mar 22nd Atlantic Coast Open 2025
45 Virginia Tech Loss 9-13 1334.01 Mar 22nd Atlantic Coast Open 2025
239 Wake Forest Win 15-3 1504.77 Mar 22nd Atlantic Coast Open 2025
181 American Win 15-12 1439.45 Mar 23rd Atlantic Coast Open 2025
173 East Carolina Win 15-9 1681.85 Mar 23rd Atlantic Coast Open 2025
165 Massachusetts -B Win 15-13 1420.24 Mar 23rd Atlantic Coast Open 2025
182 Carleton University Win 15-10 1592.15 Apr 12th Western NY D I Mens Conferences 2025
31 Ottawa Loss 10-15 1401.2 Apr 12th Western NY D I Mens Conferences 2025
98 SUNY-Buffalo Win 13-12 1582.75 Apr 12th Western NY D I Mens Conferences 2025
150 Toronto Win 12-11 1387.59 Apr 12th Western NY D I Mens Conferences 2025
51 Cornell Loss 8-12 1265 Apr 13th Western NY D I Mens Conferences 2025
100 Syracuse Win 14-8 1989.38 Apr 13th Western NY D I Mens Conferences 2025
150 Toronto Win 12-10 1500.72 Apr 13th Western NY D I Mens Conferences 2025
248 NYU Win 15-10 1328.67 Apr 26th Metro East D I College Mens Regionals 2025
31 Ottawa Loss 8-15 1289.99 Apr 26th Metro East D I College Mens Regionals 2025
314 Rowan Win 15-9 1139.1 Apr 26th Metro East D I College Mens Regionals 2025
213 SUNY-Albany Win 15-14 1137.42 Apr 26th Metro East D I College Mens Regionals 2025
119 Connecticut Loss 13-15 1136 Apr 27th Metro East D I College Mens Regionals 2025
51 Cornell Loss 8-9 1581.16 Apr 27th Metro East D I College Mens Regionals 2025
150 Toronto Win 9-6 1681.16 Apr 27th Metro East D I College 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)