| GRFALTA vs Jin | 36–17 | 67.92% |
| GRFALTA vs King | 31–18 | 63.27% |
| GRFALTA vs Kazuya | 31–11 | 73.81% |
| GRFALTA vs Law | 27–11 | 71.05% |
| GRFALTA vs Reina | 21–13 | 61.76% |
| GRFALTA vs Hwoarang | 19–11 | 63.33% |
| GRFALTA vs Dragunov | 17–12 | 58.62% |
| GRFALTA vs Bryan | 16–11 | 59.26% |
| GRFALTA vs Yoshimitsu | 15–11 | 57.69% |
| GRFALTA vs Steve | 18–7 | 72.00% |
| GRFALTA vs Clive | 11–12 | 47.83% |
| GRFALTA vs Devil Jin | 15–7 | 68.18% |
| GRFALTA vs Heihachi | 18–4 | 81.82% |
| GRFALTA vs Alisa | 12–9 | 57.14% |
| GRFALTA vs Jun | 17–3 | 85.00% |
| GRFALTA vs Asuka | 11–5–1 | 68.75% |
| GRFALTA vs Jack-8 | 9–7 | 56.25% |
| GRFALTA vs Azucena | 7–9 | 43.75% |
| GRFALTA vs Feng | 8–6 | 57.14% |
| GRFALTA vs Lili | 10–4 | 71.43% |
| GRFALTA vs Victor | 6–6 | 50.00% |
| GRFALTA vs Paul | 3–8 | 27.27% |
| GRFALTA vs Lee | 6–5 | 54.55% |
| GRFALTA vs Eddy | 9–2 | 81.82% |
| GRFALTA vs Xiaoyu | 8–2 | 80.00% |
| GRFALTA vs Leo | 8–1 | 88.89% |
| GRFALTA vs Nina | 6–3 | 66.67% |
| GRFALTA vs Lidia | 3–4 | 42.86% |
| GRFALTA vs Lars | 6–0 | 100.00% |
| GRFALTA vs Kuma | 2–4 | 33.33% |
| GRFALTA vs Claudio | 2–3 | 40.00% |
| GRFALTA vs Raven | 5–0 | 100.00% |
| GRFALTA vs Zafina | 4–0 | 100.00% |
| GRFALTA vs Leroy | 2–2 | 50.00% |
| GRFALTA vs Shaheen | 2–0 | 100.00% |
| GRFALTA vs Panda | 1–1 | 50.00% |
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.