#120 Syracuse (14-14)

avg: 1403.26  •  sd: 53.38  •  top 16/20: 0%

Click on a column to sort  • 
# Opponent Result Game Rating Status Date Event
97 Lehigh Win 13-9 1944.9 Feb 5th New Jersey Warmup
92 Pennsylvania Win 13-9 1957.93 Feb 10th New Jersey Warmup
93 Princeton Loss 9-10 1413.03 Feb 10th New Jersey Warmup
162 Rutgers Win 13-10 1610.69 Feb 10th New Jersey Warmup
191 NYU Win 12-7 1677.32 Feb 11th New Jersey Warmup
93 Princeton Win 11-10 1663.03 Feb 11th New Jersey Warmup
56 Temple Loss 10-14 1344.97 Feb 11th New Jersey Warmup
141 Boston University Win 10-8 1604.98 Mar 2nd No Sleep till Brooklyn 2024
175 Delaware Win 11-6 1768.58 Mar 2nd No Sleep till Brooklyn 2024
25 Middlebury** Loss 1-13 1404.07 Ignored Mar 2nd No Sleep till Brooklyn 2024
141 Boston University Win 13-8 1838.47 Mar 3rd No Sleep till Brooklyn 2024
163 Columbia Win 11-8 1641.03 Mar 3rd No Sleep till Brooklyn 2024
55 Williams Loss 8-12 1308.41 Mar 3rd No Sleep till Brooklyn 2024
201 MIT Win 12-11 1241.71 Mar 23rd Carousel City Classic 2024
30 Ottawa Loss 4-13 1340.68 Mar 23rd Carousel City Classic 2024
117 Rochester Win 13-12 1552.33 Mar 23rd Carousel City Classic 2024
103 SUNY-Binghamton Loss 10-11 1366.64 Mar 24th Carousel City Classic 2024
102 Connecticut Loss 10-11 1370.12 Mar 30th East Coast Invite 2024
26 McGill Loss 4-13 1397.12 Mar 30th East Coast Invite 2024
176 Navy Loss 10-11 1087.43 Mar 30th East Coast Invite 2024
300 SUNY-Stony Brook** Win 13-5 1314.83 Ignored Mar 30th East Coast Invite 2024
79 Case Western Reserve Loss 8-12 1154.54 Mar 31st East Coast Invite 2024
176 Navy Win 12-9 1557.79 Mar 31st East Coast Invite 2024
30 Ottawa Loss 6-9 1522.12 Apr 20th Western NY D I Mens Conferences 2024
103 SUNY-Binghamton Loss 6-7 1366.64 Apr 20th Western NY D I Mens Conferences 2024
208 Carleton University Win 12-11 1212.53 Apr 21st Western NY D I Mens Conferences 2024
166 RIT Loss 4-15 667.82 Apr 21st Western NY D I Mens Conferences 2024
91 SUNY-Buffalo Loss 7-13 986.22 Apr 21st Western NY D I Mens Conferences 2024
**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)