| GradiusX vs Kazuya | 44–24 | 64.71% |
| GradiusX vs Jin | 33–25 | 56.90% |
| GradiusX vs King | 34–16 | 68.00% |
| GradiusX vs Bryan | 29–19 | 60.42% |
| GradiusX vs Law | 23–17 | 57.50% |
| GradiusX vs Reina | 23–17 | 57.50% |
| GradiusX vs Hwoarang | 23–16 | 58.97% |
| GradiusX vs Devil Jin | 22–13 | 62.86% |
| GradiusX vs Paul | 16–14 | 53.33% |
| GradiusX vs Yoshimitsu | 19–9 | 67.86% |
| GradiusX vs Lars | 17–8 | 68.00% |
| GradiusX vs Xiaoyu | 14–10 | 58.33% |
| GradiusX vs Claudio | 7–13 | 35.00% |
| GradiusX vs Victor | 10–10 | 50.00% |
| GradiusX vs Dragunov | 11–8 | 57.89% |
| GradiusX vs Jun | 9–10 | 47.37% |
| GradiusX vs Steve | 9–9 | 50.00% |
| GradiusX vs Lili | 9–9 | 50.00% |
| GradiusX vs Alisa | 9–7 | 56.25% |
| GradiusX vs Azucena | 11–5 | 68.75% |
| GradiusX vs Asuka | 5–10 | 33.33% |
| GradiusX vs Shaheen | 8–7 | 53.33% |
| GradiusX vs Lee | 7–7 | 50.00% |
| GradiusX vs Eddy | 5–8 | 38.46% |
| GradiusX vs Nina | 6–4 | 60.00% |
| GradiusX vs Raven | 5–4 | 55.56% |
| GradiusX vs Kuma | 5–3 | 62.50% |
| GradiusX vs Leroy | 5–3 | 62.50% |
| GradiusX vs Feng | 6–1 | 85.71% |
| GradiusX vs Leo | 2–4 | 33.33% |
| GradiusX vs Heihachi | 5–1 | 83.33% |
| GradiusX vs Jack-8 | 5–0 | 100.00% |
| GradiusX vs Lidia | 2–3 | 40.00% |
| GradiusX vs Panda | 2–1 | 66.67% |
| GradiusX vs Zafina | 2–0 | 100.00% |
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.