Standings are aimed to be released by the end of every Tuesday.
In the 2019 Season, we have 43 technical upsets in 226 ranked matches (80.97% success rate) across 31 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 no technical upsets since our last standings update.
Net Rating Changes
| Rating Changes | Pre | Post | Change |
| GVSU | 57.309 | 58.538 | 1.229 |
| UNG | 40.679 | 41.214 | 0.536 |
| Towson | 53.303 | 52.841 | -0.462 |
| GSU | 34.656 | 34.120 | -0.536 |
| JMU | 49.587 | 48.819 | -0.767 |
Ratings, sorted.
| Mov. | Rank | Rating | Team |
| — | 1 | 58.538 | GVSU |
| — | 2 | 52.841 | Towson |
| — | 3 | 48.819 | JMU |
| — | 4 | 48.819 | CMU |
| — | 5 | 48.650 | SVSU |
| — | 6 | 48.458 | Miami |
| — | 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 |
| — | 14 | 41.214 | UNG |
| — | 15 | 40.622 | UNT |
| — | 16 | 40.534 | UK |
| — | 17 | 40.260 | ZAG |
| — | 18 | 40.230 | OS |
| — | 19 | 39.990 | UMD |
| — | 20 | 39.767 | WKU |
| — | 21 | 39.631 | UWP |
| — | 22 | 39.615 | WMU |
| — | 23 | 39.380 | OSU |
| — | 24 | 39.185 | UWW |
| — | 25 | 39.163 | NIU |
| — | 26 | 38.890 | UVA |
| — | 27 | 38.510 | SIUE |
| — | 28 | 37.722 | Midland |
| — | 29 | 37.197 | UNL |
| — | 30 | 36.918 | UCF |
| — | 31 | 36.912 | SU |
| — | 32 | 36.440 | UC |
| — | 33 | 35.650 | CSU |
| — | 34 | 34.666 | MC |
| ↑ from 36 | 35 | 34.553 | WVU |
| ↓ from 35 | 36 | 34.120 | GSU |
| — | 37 | 34.036 | NSU |
| — | 38 | 33.987 | DePaul |
| — | 39 | 33.203 | BW |
| — | 40 | 32.413 | BSU |
Movement as of 2019-03-26
* 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 | 46.616 |
| 6 | GVSU | 46.358 |
| 7 | Towson | 45.383 |
| 8 | UMD | 44.346 |
| 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 | 39.524 |
| 27 | BW | 39.054 |
| 28 | SIUE | 39.046 |
| 29 | NSU | 37.670 |
| 30 | UNG | 36.111 |
| 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