| fractal vs Jin | 28–12 | 70.00% |
| fractal vs Steve | 26–7 | 78.79% |
| fractal vs Hwoarang | 26–5 | 83.87% |
| fractal vs Bryan | 21–9 | 70.00% |
| fractal vs Kazuya | 20–5 | 80.00% |
| fractal vs Dragunov | 18–4 | 81.82% |
| fractal vs Azucena | 14–7 | 66.67% |
| fractal vs King | 18–1 | 94.74% |
| fractal vs Lidia | 16–3 | 84.21% |
| fractal vs Yoshimitsu | 16–2 | 88.89% |
| fractal vs Jun | 12–6 | 66.67% |
| fractal vs Reina | 14–4 | 77.78% |
| fractal vs Law | 11–5 | 68.75% |
| fractal vs Lee | 12–3 | 80.00% |
| fractal vs Leroy | 9–4 | 69.23% |
| fractal vs Paul | 10–2 | 83.33% |
| fractal vs Lars | 9–1 | 90.00% |
| fractal vs Devil Jin | 9–0 | 100.00% |
| fractal vs Nina | 6–3 | 66.67% |
| fractal vs Victor | 6–2 | 75.00% |
| fractal vs Alisa | 7–0 | 100.00% |
| fractal vs Eddy | 3–4 | 42.86% |
| fractal vs Feng | 6–0 | 100.00% |
| fractal vs Xiaoyu | 2–3 | 40.00% |
| fractal vs Lili | 4–1 | 80.00% |
| fractal vs Asuka | 2–2 | 50.00% |
| fractal vs Leo | 3–1 | 75.00% |
| fractal vs Shaheen | 2–2 | 50.00% |
| fractal vs Kuma | 3–1 | 75.00% |
| fractal vs Jack-8 | 3–0 | 100.00% |
| fractal vs Heihachi | 3–0 | 100.00% |
| fractal vs Claudio | 2–0 | 100.00% |
| fractal vs Raven | 0–2 | 0.00% |
| fractal vs Fahkumram | 2–0 | 100.00% |
| fractal vs Armor King | 2–0 | 100.00% |
| fractal vs Zafina | 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.