| RAYYONNAISE vs Jin | 15–26 | 36.59% |
| RAYYONNAISE vs King | 14–17 | 45.16% |
| RAYYONNAISE vs Yoshimitsu | 11–12 | 47.83% |
| RAYYONNAISE vs Dragunov | 6–15 | 28.57% |
| RAYYONNAISE vs Armor King | 9–12 | 42.86% |
| RAYYONNAISE vs Steve | 9–11 | 45.00% |
| RAYYONNAISE vs Bryan | 7–12 | 36.84% |
| RAYYONNAISE vs Reina | 11–8 | 57.89% |
| RAYYONNAISE vs Hwoarang | 6–10 | 37.50% |
| RAYYONNAISE vs Kazuya | 8–8 | 50.00% |
| RAYYONNAISE vs Law | 5–10 | 33.33% |
| RAYYONNAISE vs Victor | 11–4 | 73.33% |
| RAYYONNAISE vs Asuka | 9–4 | 69.23% |
| RAYYONNAISE vs Devil Jin | 7–6 | 53.85% |
| RAYYONNAISE vs Lili | 9–4 | 69.23% |
| RAYYONNAISE vs Lars | 4–8 | 33.33% |
| RAYYONNAISE vs Eddy | 9–2 | 81.82% |
| RAYYONNAISE vs Jack-8 | 3–7 | 30.00% |
| RAYYONNAISE vs Azucena | 6–4 | 60.00% |
| RAYYONNAISE vs Jun | 2–7 | 22.22% |
| RAYYONNAISE vs Heihachi | 4–3 | 57.14% |
| RAYYONNAISE vs Clive | 1–6 | 14.29% |
| RAYYONNAISE vs Nina | 3–3 | 50.00% |
| RAYYONNAISE vs Anna | 4–2 | 66.67% |
| RAYYONNAISE vs Fahkumram | 1–5 | 16.67% |
| RAYYONNAISE vs Xiaoyu | 5–0 | 100.00% |
| RAYYONNAISE vs Leo | 0–5 | 0.00% |
| RAYYONNAISE vs Paul | 2–2 | 50.00% |
| RAYYONNAISE vs Alisa | 2–2 | 50.00% |
| RAYYONNAISE vs Lee | 2–2 | 50.00% |
| RAYYONNAISE vs Miary Zo | 2–2 | 50.00% |
| RAYYONNAISE vs Feng | 3–0 | 100.00% |
| RAYYONNAISE vs Leroy | 2–1 | 66.67% |
| RAYYONNAISE vs Lidia | 3–0 | 100.00% |
| RAYYONNAISE vs Claudio | 0–2 | 0.00% |
| RAYYONNAISE vs Zafina | 2–0 | 100.00% |
| RAYYONNAISE vs Raven | 0–2 | 0.00% |
| RAYYONNAISE vs Kuma | 0–1 | 0.00% |
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.