| Isabella vs Dragunov | 50–9 | 84.75% |
| Isabella vs King | 35–19 | 64.81% |
| Isabella vs Reina | 29–15 | 65.91% |
| Isabella vs Lili | 30–10 | 75.00% |
| Isabella vs Jin | 29–9 | 76.32% |
| Isabella vs Kazuya | 28–10 | 73.68% |
| Isabella vs Steve | 25–8 | 75.76% |
| Isabella vs Law | 15–13 | 53.57% |
| Isabella vs Bryan | 18–10 | 64.29% |
| Isabella vs Hwoarang | 22–5 | 81.48% |
| Isabella vs Devil Jin | 15–9 | 62.50% |
| Isabella vs Lars | 12–9 | 57.14% |
| Isabella vs Raven | 16–4 | 80.00% |
| Isabella vs Feng | 14–5 | 73.68% |
| Isabella vs Jun | 18–1 | 94.74% |
| Isabella vs Yoshimitsu | 10–8 | 55.56% |
| Isabella vs Heihachi | 14–4 | 77.78% |
| Isabella vs Paul | 9–8 | 52.94% |
| Isabella vs Azucena | 11–6 | 64.71% |
| Isabella vs Victor | 11–6 | 64.71% |
| Isabella vs Asuka | 11–4 | 73.33% |
| Isabella vs Alisa | 10–5 | 66.67% |
| Isabella vs Shaheen | 7–8 | 46.67% |
| Isabella vs Xiaoyu | 12–2 | 85.71% |
| Isabella vs Lee | 5–7 | 41.67% |
| Isabella vs Eddy | 8–4 | 66.67% |
| Isabella vs Zafina | 6–5 | 54.55% |
| Isabella vs Kuma | 7–2 | 77.78% |
| Isabella vs Leo | 4–4 | 50.00% |
| Isabella vs Claudio | 5–3 | 62.50% |
| Isabella vs Nina | 8–0 | 100.00% |
| Isabella vs Leroy | 6–2 | 75.00% |
| Isabella vs Lidia | 4–2 | 66.67% |
| Isabella vs Jack-8 | 3–2 | 60.00% |
| Isabella vs Panda | 4–1 | 80.00% |
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.