| rnjsehddnjs vs Reina | 12–16 | 42.86% |
| rnjsehddnjs vs King | 14–10 | 58.33% |
| rnjsehddnjs vs Asuka | 8–8 | 50.00% |
| rnjsehddnjs vs Paul | 4–11 | 26.67% |
| rnjsehddnjs vs Kazuya | 3–12 | 20.00% |
| rnjsehddnjs vs Steve | 6–9 | 40.00% |
| rnjsehddnjs vs Victor | 5–8 | 38.46% |
| rnjsehddnjs vs Clive | 8–4 | 66.67% |
| rnjsehddnjs vs Bryan | 5–5 | 50.00% |
| rnjsehddnjs vs Heihachi | 4–6 | 40.00% |
| rnjsehddnjs vs Hwoarang | 5–4 | 55.56% |
| rnjsehddnjs vs Xiaoyu | 3–6 | 33.33% |
| rnjsehddnjs vs Jin | 3–6 | 33.33% |
| rnjsehddnjs vs Lidia | 4–5 | 44.44% |
| rnjsehddnjs vs Law | 2–5 | 28.57% |
| rnjsehddnjs vs Lili | 5–2 | 71.43% |
| rnjsehddnjs vs Dragunov | 2–5 | 28.57% |
| rnjsehddnjs vs Alisa | 3–4 | 42.86% |
| rnjsehddnjs vs Shaheen | 5–2 | 71.43% |
| rnjsehddnjs vs Leo | 1–5 | 16.67% |
| rnjsehddnjs vs Jun | 2–3 | 40.00% |
| rnjsehddnjs vs Devil Jin | 2–2 | 50.00% |
| rnjsehddnjs vs Anna | 0–4 | 0.00% |
| rnjsehddnjs vs Yoshimitsu | 0–3 | 0.00% |
| rnjsehddnjs vs Leroy | 1–2 | 33.33% |
| rnjsehddnjs vs Lee | 2–0 | 100.00% |
| rnjsehddnjs vs Kuma | 0–2 | 0.00% |
| rnjsehddnjs vs Zafina | 1–1 | 50.00% |
| rnjsehddnjs vs Raven | 0–2 | 0.00% |
| rnjsehddnjs vs Feng | 0–1 | 0.00% |
| rnjsehddnjs vs Lars | 1–0 | 100.00% |
| rnjsehddnjs vs Claudio | 0–1 | 0.00% |
| rnjsehddnjs vs Nina | 0–1 | 0.00% |
| rnjsehddnjs vs Azucena | 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.