Standings are aimed to be released by the end of every Tuesday.
In the 2019 Season, we have 27 technical upsets in 136 ranked matches (80.15% success rate) across 21 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 80.20% based on 333 technical upsets in 1682 ranked matches played since 2010-09-25.
PSU def Akron 4-2
39.681(+1) def 44.488, exchanging 1.381
The Nittany Lions finished 2-1 at their home event with wins over Akron and WVU. In their upset over Akron, PSU was able to gain a healthy 1.381 rating points which helped move them up the standings. If you missed it, this game was literal seconds away from going to overtime if not for Steve Herrick’s catch to seal their victory. The upset falls in the 73rd percentile, and is the 89th ranked upset all time.
Net Rating Changes
| Rating Changes | Pre | Post | Change |
| PSU | 39.791 | 41.508 | 1.718 |
| JMU | 49.696 | 50.145 | 0.449 |
| WVU | 36.792 | 36.080 | -0.712 |
| Akron | 44.232 | 42.778 | -1.454 |
PSU’s upset over Akron carried the most substantial weight out of all the ranked matches at Rally in the Valley, giving them the most points earned on the weekend. JMU was also able to walk away with three wins to help their overall rating, and close the gap between themselves and rival Towson.
Ratings, sorted.
| Mov. | Rank | Rating | Team |
| — | 1 | 56.835 | GVSU |
| — | 2 | 51.403 | Towson |
| — | 3 | 50.145 | JMU |
| — | 4 | 48.122 | SVSU |
| — | 5 | 47.086 | CMU |
| — | 6 | 46.797 | Miami |
| — | 7 | 46.648 | MSU |
| — | 8 | 45.222 | Kent |
| — | 9 | 45.219 | BGSU |
| — | 10 | 44.944 | VCU |
| ↑ from 12 | 11 | 43.565 | Ohio |
| ↓ from 11 | 12 | 42.778 | Akron |
| ↑ from 19 | 13 | 41.508 | PSU |
| ↓ from 13 | 14 | 41.071 | OSU |
| ↓ from 14 | 15 | 40.679 | UNG |
| ↓ from 15 | 16 | 40.622† | UNT |
| ↓ from 16 | 17 | 40.260*† | ZAG |
| ↓ from 17 | 18 | 40.230*† | OS |
| ↓ from 18 | 19 | 40.140 | UK |
| — | 20 | 39.767† | WKU |
| — | 21 | 39.203 | UVA |
| — | 22 | 39.185*† | UWW |
| — | 23 | 39.163*† | NIU |
| — | 24 | 38.832 | UWP |
| — | 25 | 38.510† | SIUE |
| — | 26 | 38.191 | CSU |
| — | 27 | 37.722*† | Midland |
| — | 28 | 37.466 | UMD |
| — | 29 | 37.442† | DePaul |
| — | 30 | 37.197 | UNL |
| — | 31 | 36.918† | UCF |
| — | 32 | 36.912† | SU |
| — | 33 | 36.080 | WVU |
| — | 34 | 34.666 | MC |
| — | 35 | 34.656 | GSU |
| — | 36 | 33.613 | BSU |
| — | 37 | 33.203 | BW |
| — | 38 | 31.313 | NSU |
Movement as of 2019-01-22
* 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 | MSU | 48.604 |
| 2 | SVSU | 48.220 |
| 3 | CMU | 46.695 |
| 4 | JMU | 45.648 |
| 5 | GVSU | 45.279 |
| 6 | UMD | 45.141 |
| 7 | PSU | 44.336 |
| 8 | Kent | 44.219 |
| 9 | Miami | 44.010 |
| 10 | BGSU | 44.007 |
| 11 | UVA | 43.569 |
| 12 | Towson | 43.287 |
| 13 | UK | 43.126 |
| 14 | VCU | 42.755 |
| 15 | UWP | 42.644 |
| 16 | OSU | 42.277 |
| 17 | Ohio | 41.980 |
| 18 | UNL | 41.850 |
| 19 | WVU | 41.108 |
| 20 | BSU | 40.952 |
| 21 | Akron | 40.388 |
| 22 | MC | 39.650 |
| 23 | CSU | 39.464 |
| 24 | GSU | 39.193 |
| 25 | BW | 39.054 |
| 26 | SIUE | 39.046 |
| 27 | NSU | 38.045 |
| 28 | UNG | 36.402 |
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 Current
Prediction Calculation: Gonzalez Predictor