Standings are aimed to be released by the end of every Tuesday.
In the 2019 Season, we have 43 technical upsets in 220 ranked matches (80.45% success rate) across 29 events. Additionally, there have been four JV matches entered into the Records.
The Gonzalez System is a computer ranking model similar to Elo and is a rating exchange system based on research performed by World Rugby. It has been adapted by the NCDA to the demands of College Dodgeball, but can be tuned and customized endlessly to incorporate accurate data. It has been used to help determine seeds for the Nationals bracket since Nationals 2014, and was used exclusively for the Nationals 2017 and 2018 bracket.
Technical Upset Spotlight
A technical upset in the Gonzalez System is when a lower rated team defeats a higher rated team. The overall success rate of the system is currently 80.24% based on 349 technical upsets in 1766 ranked matches played since 2010-09-25.
There were five technical upsets since our last standings update.
CMU def SVSU 3-2
46.713 def 50.757 (+1), exchanging 1.504
Central Michigan defeated in-state rival Saginaw Valley 3-2 to open up their double header. It is Central Michigan’s first technical upset since defeating Grand Valley on 3-25-2018. The technical upset ranks 47th all time, and falls in the 87th percentile.
UMD def OSU 3-1
38.816 def 40.554, exchanging 1.174
Maryland defeated Ohio State at the ‘Mountain Madness’ hosted by West Virginia. The victory gives UMD the series lead at 2-1 all time against OSU. The technical upset ranks 199th all time, and falls in the 43rd percentile.
WVU def CSU 3-1
35.653 (+1) def 37.016, exchanging 1.036
The Mountaineers pulled off a solid win at home against Cleveland State. Overall, the technical upset ranks 312th all time, and falls in the 10th percentile.
UVA def CSU 4-2
37.810 def 38.039, exchanging 1.023
The Cavaliers had a solid showing at ‘Mountain Madness’ which started with their technical upset over CSU. The technical upset ranks 320th all time, and falls in the 8th percentile.
CMU def SVSU 2-1 OT
48.217 def 49.252 (+1), exchanging 0.602
CMU got their second victory of the doubleheader in overtime fashion and took a 4-2 series lead over SVSU for 2019. The technical upset ranks 35th all time for overtime upsets.
Net Rating Changes
Rating Changes | Pre | Post | Change |
PSU | 40.924 | 43.289 | 2.366 |
CMU | 46.713 | 48.819 | 2.106 |
UMD | 38.598 | 39.990 | 1.392 |
UVA | 37.810 | 38.890 | 1.081 |
Miami | 47.608 | 48.458 | 0.851 |
UWP | 39.564 | 39.631 | 0.067 |
BGSU | 45.455 | 45.451 | -0.004 |
UC | 37.355 | 36.440 | -0.914 |
WVU | 35.653 | 34.553 | -1.101 |
OSU | 40.728 | 39.380 | -1.348 |
SVSU | 50.757 | 48.650 | -2.106 |
CSU | 38.039 | 35.650 | -2.390 |
Ratings, sorted.
Mov. | Rank | Rating | Team |
— | 1 | 57.309 | GVSU |
— | 2 | 53.303 | Towson |
↑ from 4 | 3 | 49.587 | JMU |
↑ from 7 | 4 | 48.819 | CMU |
↓ from 3 | 5 | 48.650 | SVSU |
— | 6 | 48.458 | Miami |
↓ from 5 | 7 | 47.853 | MSU |
— | 8 | 45.451 | BGSU |
— | 9 | 44.473 | VCU |
— | 10 | 43.923 | Ohio |
— | 11 | 43.872 | Akron |
— | 12 | 43.516 | Kent |
— | 13 | 43.289 | PSU |
↑ from 15 | 14 | 40.679 | UNG |
↑ from 16 | 15 | 40.622 | UNT |
↑ from 17 | 16 | 40.534 | UK |
↑ from 18 | 17 | 40.260 | ZAG |
↑ from 19 | 18 | 40.230 | OS |
↑ from 25 | 19 | 39.990 | UMD |
— | 20 | 39.767 | WKU |
↑ from 22 | 21 | 39.631 | UWP |
↓ from 21 | 22 | 39.615 | WMU |
↓ from 14 | 23 | 39.380 | OSU |
↓ from 23 | 24 | 39.185 | UWW |
↓ from 24 | 25 | 39.163 | NIU |
↑ from 28 | 26 | 38.890 | UVA |
↓ from 26 | 27 | 38.510 | SIUE |
↑ from 29 | 28 | 37.722 | Midland |
↑ from 31 | 29 | 37.197 | UNL |
↑ from 32 | 30 | 36.918 | UCF |
↑ from 33 | 31 | 36.912 | SU |
↓ from 30 | 32 | 36.440 | UC |
↓ from 27 | 33 | 35.650 | CSU |
↑ from 35 | 34 | 34.666 | MC |
↑ from 36 | 35 | 34.656 | GSU |
↓ from 34 | 36 | 34.553 | WVU |
— | 37 | 34.036 | NSU |
— | 38 | 33.987 | DePaul |
— | 39 | 33.203 | BW |
— | 40 | 32.413 | BSU |
Movement as of 2019-02-12
* denotes a provisional rating (< 6 matches)
† denotes a team that has not played three games this season, the required minimum games needed to qualify for Nationals.
Strength of Schedule Spotlight
Strength of Schedule is typically used as a measure to determine what level of competition each team is facing relative to their peers. The way to read it is fairly simple, the higher the average opponent rating, the tougher your schedule.
Rank | Team | Avg. Opp. Rating |
1 | WMU | 50.629 |
2 | MSU | 47.949 |
3 | CMU | 47.489 |
4 | SVSU | 46.973 |
5 | JMU | 45.480 |
6 | GVSU | 45.446 |
7 | UMD | 44.346 |
8 | Towson | 44.191 |
9 | VCU | 44.006 |
10 | BGSU | 43.669 |
11 | Miami | 43.636 |
12 | Kent | 43.629 |
13 | Ohio | 42.653 |
14 | UK | 42.516 |
15 | UC | 42.230 |
16 | UVA | 42.030 |
17 | UWP | 41.952 |
18 | OSU | 41.874 |
19 | UNL | 41.850 |
20 | PSU | 41.689 |
21 | BSU | 41.576 |
22 | WVU | 41.222 |
23 | CSU | 40.878 |
24 | Akron | 40.828 |
25 | MC | 39.650 |
26 | GSU | 39.193 |
27 | BW | 39.054 |
28 | SIUE | 39.046 |
29 | NSU | 37.670 |
30 | UNG | 36.402 |
31 | DePaul | 34.312 |
See the Resource Center for more documentation.
Records, Master Spreadsheet: 2005-Present
Records, Individual Docs: 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Systems: Gonzalez CurrentSpec Document: Gonzalez System Spec Doc
Prediction Calculation: Gonzalez Predictor