| Fiolina vs Kazuya | 41–46 | 47.13% |
| Fiolina vs Jin | 45–40 | 52.94% |
| Fiolina vs Steve | 45–38 | 54.22% |
| Fiolina vs Reina | 49–31 | 61.25% |
| Fiolina vs Bryan | 38–41 | 48.10% |
| Fiolina vs King | 37–37 | 50.00% |
| Fiolina vs Hwoarang | 36–37 | 49.32% |
| Fiolina vs Lili | 35–23 | 60.34% |
| Fiolina vs Lee | 23–35 | 39.66% |
| Fiolina vs Yoshimitsu | 28–23 | 54.90% |
| Fiolina vs Jun | 29–20 | 59.18% |
| Fiolina vs Azucena | 28–17 | 62.22% |
| Fiolina vs Law | 28–15 | 65.12% |
| Fiolina vs Lars | 21–18 | 53.85% |
| Fiolina vs Nina | 20–19 | 51.28% |
| Fiolina vs Paul | 18–20 | 47.37% |
| Fiolina vs Jack-8 | 22–16 | 57.89% |
| Fiolina vs Feng | 13–25 | 34.21% |
| Fiolina vs Heihachi | 20–18 | 52.63% |
| Fiolina vs Dragunov | 20–17 | 54.05% |
| Fiolina vs Eddy | 15–20 | 42.86% |
| Fiolina vs Devil Jin | 18–13 | 58.06% |
| Fiolina vs Victor | 18–13 | 58.06% |
| Fiolina vs Asuka | 16–14 | 53.33% |
| Fiolina vs Xiaoyu | 13–14 | 48.15% |
| Fiolina vs Leroy | 13–13 | 50.00% |
| Fiolina vs Leo | 14–10 | 58.33% |
| Fiolina vs Alisa | 12–6 | 66.67% |
| Fiolina vs Lidia | 8–10 | 44.44% |
| Fiolina vs Raven | 8–9 | 47.06% |
| Fiolina vs Claudio | 8–7 | 53.33% |
| Fiolina vs Zafina | 3–11 | 21.43% |
| Fiolina vs Shaheen | 5–8 | 38.46% |
| Fiolina vs Kuma | 5–8 | 38.46% |
| Fiolina vs Panda | 4–2 | 66.67% |
| Fiolina vs Clive | 0–2 | 0.00% |
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.