| +FramesEnjoyer vs Kazuya | 69–55 | 55.65% |
| +FramesEnjoyer vs King | 55–45 | 55.00% |
| +FramesEnjoyer vs Steve | 56–30 | 65.12% |
| +FramesEnjoyer vs Reina | 37–41 | 47.44% |
| +FramesEnjoyer vs Heihachi | 37–38 | 49.33% |
| +FramesEnjoyer vs Law | 41–27 | 60.29% |
| +FramesEnjoyer vs Bryan | 32–34 | 48.48% |
| +FramesEnjoyer vs Yoshimitsu | 29–31 | 48.33% |
| +FramesEnjoyer vs Hwoarang | 31–28 | 52.54% |
| +FramesEnjoyer vs Jin | 31–26 | 54.39% |
| +FramesEnjoyer vs Azucena | 24–28 | 46.15% |
| +FramesEnjoyer vs Lars | 26–24 | 52.00% |
| +FramesEnjoyer vs Dragunov | 19–30 | 38.78% |
| +FramesEnjoyer vs Lee | 20–27 | 42.55% |
| +FramesEnjoyer vs Jun | 32–14 | 69.57% |
| +FramesEnjoyer vs Lili | 23–19 | 54.76% |
| +FramesEnjoyer vs Paul | 21–17 | 55.26% |
| +FramesEnjoyer vs Asuka | 27–9 | 75.00% |
| +FramesEnjoyer vs Leo | 11–18 | 37.93% |
| +FramesEnjoyer vs Raven | 14–14 | 50.00% |
| +FramesEnjoyer vs Feng | 15–12 | 55.56% |
| +FramesEnjoyer vs Claudio | 14–13 | 51.85% |
| +FramesEnjoyer vs Xiaoyu | 14–11 | 56.00% |
| +FramesEnjoyer vs Eddy | 15–10 | 60.00% |
| +FramesEnjoyer vs Nina | 13–10 | 56.52% |
| +FramesEnjoyer vs Alisa | 11–11 | 50.00% |
| +FramesEnjoyer vs Kuma | 12–10 | 54.55% |
| +FramesEnjoyer vs Leroy | 10–12 | 45.45% |
| +FramesEnjoyer vs Jack-8 | 11–10 | 52.38% |
| +FramesEnjoyer vs Victor | 10–11 | 47.62% |
| +FramesEnjoyer vs Lidia | 15–4 | 78.95% |
| +FramesEnjoyer vs Devil Jin | 9–9 | 50.00% |
| +FramesEnjoyer vs Shaheen | 6–6 | 50.00% |
| +FramesEnjoyer vs Panda | 4–3 | 57.14% |
| +FramesEnjoyer vs Zafina | 5–1 | 83.33% |
| +FramesEnjoyer vs Clive | 1–2 | 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.