| Gfdsa/'llkjhhgf vs Heihachi | 17–6 | 73.91% |
| Gfdsa/'llkjhhgf vs King | 12–8 | 60.00% |
| Gfdsa/'llkjhhgf vs Kazuya | 12–5 | 70.59% |
| Gfdsa/'llkjhhgf vs Reina | 9–7 | 56.25% |
| Gfdsa/'llkjhhgf vs Hwoarang | 5–9 | 35.71% |
| Gfdsa/'llkjhhgf vs Jin | 9–2 | 81.82% |
| Gfdsa/'llkjhhgf vs Eddy | 1–9 | 10.00% |
| Gfdsa/'llkjhhgf vs Law | 2–7 | 22.22% |
| Gfdsa/'llkjhhgf vs Devil Jin | 8–1 | 88.89% |
| Gfdsa/'llkjhhgf vs Dragunov | 1–7 | 12.50% |
| Gfdsa/'llkjhhgf vs Steve | 4–3 | 57.14% |
| Gfdsa/'llkjhhgf vs Nina | 6–1 | 85.71% |
| Gfdsa/'llkjhhgf vs Azucena | 4–2 | 66.67% |
| Gfdsa/'llkjhhgf vs Bryan | 3–2 | 60.00% |
| Gfdsa/'llkjhhgf vs Lili | 4–1 | 80.00% |
| Gfdsa/'llkjhhgf vs Lars | 4–1 | 80.00% |
| Gfdsa/'llkjhhgf vs Lee | 2–2 | 50.00% |
| Gfdsa/'llkjhhgf vs Yoshimitsu | 0–3 | 0.00% |
| Gfdsa/'llkjhhgf vs Xiaoyu | 3–0 | 100.00% |
| Gfdsa/'llkjhhgf vs Asuka | 1–2 | 33.33% |
| Gfdsa/'llkjhhgf vs Alisa | 0–3 | 0.00% |
| Gfdsa/'llkjhhgf vs Shaheen | 0–2 | 0.00% |
| Gfdsa/'llkjhhgf vs Kuma | 1–1 | 50.00% |
| Gfdsa/'llkjhhgf vs Jun | 1–1 | 50.00% |
| Gfdsa/'llkjhhgf vs Victor | 0–2 | 0.00% |
| Gfdsa/'llkjhhgf vs Paul | 1–0 | 100.00% |
| Gfdsa/'llkjhhgf vs Jack-8 | 1–0 | 100.00% |
| Gfdsa/'llkjhhgf vs Feng | 1–0 | 100.00% |
| Gfdsa/'llkjhhgf vs Claudio | 1–0 | 100.00% |
| Gfdsa/'llkjhhgf vs Lidia | 1–0 | 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.