| Vflo vs Bryan | 30–20 | 60.00% |
| Vflo vs Jin | 18–20 | 47.37% |
| Vflo vs King | 19–13 | 59.38% |
| Vflo vs Lars | 20–11 | 64.52% |
| Vflo vs Heihachi | 19–12 | 61.29% |
| Vflo vs Law | 20–8 | 71.43% |
| Vflo vs Steve | 18–10 | 64.29% |
| Vflo vs Reina | 22–6 | 78.57% |
| Vflo vs Kazuya | 12–14 | 46.15% |
| Vflo vs Paul | 12–12 | 50.00% |
| Vflo vs Lili | 11–11 | 50.00% |
| Vflo vs Azucena | 16–6 | 72.73% |
| Vflo vs Hwoarang | 12–8 | 60.00% |
| Vflo vs Lee | 11–9 | 55.00% |
| Vflo vs Leroy | 12–8 | 60.00% |
| Vflo vs Xiaoyu | 7–10 | 41.18% |
| Vflo vs Clive | 12–5 | 70.59% |
| Vflo vs Eddy | 12–4 | 75.00% |
| Vflo vs Armor King | 9–7 | 56.25% |
| Vflo vs Nina | 14–1 | 93.33% |
| Vflo vs Fahkumram | 7–8 | 46.67% |
| Vflo vs Devil Jin | 4–10 | 28.57% |
| Vflo vs Yoshimitsu | 9–4 | 69.23% |
| Vflo vs Leo | 6–7 | 46.15% |
| Vflo vs Victor | 7–5 | 58.33% |
| Vflo vs Dragunov | 9–2 | 81.82% |
| Vflo vs Alisa | 3–8 | 27.27% |
| Vflo vs Asuka | 8–2 | 80.00% |
| Vflo vs Kuma | 6–4 | 60.00% |
| Vflo vs Jack-8 | 5–3 | 62.50% |
| Vflo vs Lidia | 5–3 | 62.50% |
| Vflo vs Claudio | 3–3 | 50.00% |
| Vflo vs Shaheen | 2–2 | 50.00% |
| Vflo vs Panda | 2–2 | 50.00% |
| Vflo vs Zafina | 0–4 | 0.00% |
| Vflo vs Jun | 0–4 | 0.00% |
| Vflo vs Raven | 4–0 | 100.00% |
| Vflo vs Feng | 1–2 | 33.33% |
| Vflo vs Anna | 2–1 | 66.67% |
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.