| GNPR-SSK603n vs Steve | 16–22 | 42.11% |
| GNPR-SSK603n vs Kazuya | 8–19 | 29.63% |
| GNPR-SSK603n vs Heihachi | 8–18 | 30.77% |
| GNPR-SSK603n vs Reina | 13–12 | 52.00% |
| GNPR-SSK603n vs Bryan | 9–15 | 37.50% |
| GNPR-SSK603n vs King | 5–17 | 22.73% |
| GNPR-SSK603n vs Jin | 5–12 | 29.41% |
| GNPR-SSK603n vs Paul | 7–8 | 46.67% |
| GNPR-SSK603n vs Yoshimitsu | 9–5 | 64.29% |
| GNPR-SSK603n vs Lili | 6–6 | 50.00% |
| GNPR-SSK603n vs Law | 5–6 | 45.45% |
| GNPR-SSK603n vs Dragunov | 3–7 | 30.00% |
| GNPR-SSK603n vs Feng | 2–7 | 22.22% |
| GNPR-SSK603n vs Claudio | 2–7 | 22.22% |
| GNPR-SSK603n vs Azucena | 2–7 | 22.22% |
| GNPR-SSK603n vs Hwoarang | 3–5 | 37.50% |
| GNPR-SSK603n vs Leroy | 2–5 | 28.57% |
| GNPR-SSK603n vs Nina | 1–5 | 16.67% |
| GNPR-SSK603n vs Victor | 3–3 | 50.00% |
| GNPR-SSK603n vs Jack-8 | 2–3 | 40.00% |
| GNPR-SSK603n vs Jun | 2–3 | 40.00% |
| GNPR-SSK603n vs Lidia | 2–2 | 50.00% |
| GNPR-SSK603n vs Xiaoyu | 2–1 | 66.67% |
| GNPR-SSK603n vs Devil Jin | 2–1 | 66.67% |
| GNPR-SSK603n vs Leo | 1–2 | 33.33% |
| GNPR-SSK603n vs Lars | 2–1 | 66.67% |
| GNPR-SSK603n vs Lee | 1–2 | 33.33% |
| GNPR-SSK603n vs Asuka | 2–0 | 100.00% |
| GNPR-SSK603n vs Alisa | 2–0 | 100.00% |
| GNPR-SSK603n vs Kuma | 0–2 | 0.00% |
| GNPR-SSK603n vs Panda | 2–0 | 100.00% |
| GNPR-SSK603n vs Zafina | 0–2 | 0.00% |
| GNPR-SSK603n vs Eddy | 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.