| _edr16k vs King | 55–90 | 37.93% |
| _edr16k vs Reina | 55–77 | 41.67% |
| _edr16k vs Kazuya | 59–66 | 47.20% |
| _edr16k vs Law | 44–71 | 38.26% |
| _edr16k vs Jin | 53–59 | 47.32% |
| _edr16k vs Hwoarang | 32–57 | 35.96% |
| _edr16k vs Steve | 32–54 | 37.21% |
| _edr16k vs Yoshimitsu | 29–56 | 34.12% |
| _edr16k vs Bryan | 29–56 | 34.12% |
| _edr16k vs Lidia | 47–32 | 59.49% |
| _edr16k vs Eddy | 27–50 | 35.06% |
| _edr16k vs Paul | 31–44 | 41.33% |
| _edr16k vs Lars | 25–46 | 35.21% |
| _edr16k vs Jun | 34–33 | 50.75% |
| _edr16k vs Victor | 23–43 | 34.85% |
| _edr16k vs Lili | 31–32 | 49.21% |
| _edr16k vs Clive | 25–38 | 39.68% |
| _edr16k vs Azucena | 26–35 | 42.62% |
| _edr16k vs Lee | 39–21 | 65.00% |
| _edr16k vs Heihachi | 28–29 | 49.12% |
| _edr16k vs Asuka | 16–35 | 31.37% |
| _edr16k vs Devil Jin | 25–25 | 50.00% |
| _edr16k vs Alisa | 21–26 | 44.68% |
| _edr16k vs Nina | 13–31 | 29.55% |
| _edr16k vs Leroy | 18–24 | 42.86% |
| _edr16k vs Dragunov | 6–35 | 14.63% |
| _edr16k vs Feng | 13–22 | 37.14% |
| _edr16k vs Xiaoyu | 18–16 | 52.94% |
| _edr16k vs Jack-8 | 11–21 | 34.38% |
| _edr16k vs Raven | 8–20 | 28.57% |
| _edr16k vs Leo | 9–17 | 34.62% |
| _edr16k vs Shaheen | 16–10 | 61.54% |
| _edr16k vs Kuma | 7–19 | 26.92% |
| _edr16k vs Claudio | 9–12 | 42.86% |
| _edr16k vs Zafina | 4–4 | 50.00% |
| _edr16k vs Panda | 2–4 | 33.33% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.