| Vloy3d vs Reina | 52–37 | 58.43% |
| Vloy3d vs Kazuya | 32–30 | 51.61% |
| Vloy3d vs King | 36–25 | 59.02% |
| Vloy3d vs Bryan | 22–31 | 41.51% |
| Vloy3d vs Jin | 30–22 | 57.69% |
| Vloy3d vs Steve | 25–22 | 53.19% |
| Vloy3d vs Jun | 24–23 | 51.06% |
| Vloy3d vs Azucena | 22–22 | 50.00% |
| Vloy3d vs Hwoarang | 23–20 | 53.49% |
| Vloy3d vs Paul | 23–17 | 57.50% |
| Vloy3d vs Law | 25–13 | 65.79% |
| Vloy3d vs Asuka | 20–16 | 55.56% |
| Vloy3d vs Lili | 16–19 | 45.71% |
| Vloy3d vs Dragunov | 17–18 | 48.57% |
| Vloy3d vs Clive | 11–22 | 33.33% |
| Vloy3d vs Heihachi | 16–16 | 50.00% |
| Vloy3d vs Lars | 14–16 | 46.67% |
| Vloy3d vs Eddy | 10–20 | 33.33% |
| Vloy3d vs Yoshimitsu | 14–15 | 48.28% |
| Vloy3d vs Claudio | 15–14 | 51.72% |
| Vloy3d vs Lidia | 8–17 | 32.00% |
| Vloy3d vs Victor | 11–12 | 47.83% |
| Vloy3d vs Anna | 13–10 | 56.52% |
| Vloy3d vs Xiaoyu | 11–11 | 50.00% |
| Vloy3d vs Devil Jin | 11–10 | 52.38% |
| Vloy3d vs Leo | 11–10 | 52.38% |
| Vloy3d vs Kuma | 10–11 | 47.62% |
| Vloy3d vs Lee | 11–9 | 55.00% |
| Vloy3d vs Leroy | 9–11 | 45.00% |
| Vloy3d vs Raven | 8–12 | 40.00% |
| Vloy3d vs Feng | 7–11 | 38.89% |
| Vloy3d vs Nina | 12–6 | 66.67% |
| Vloy3d vs Alisa | 8–8 | 50.00% |
| Vloy3d vs Shaheen | 6–4 | 60.00% |
| Vloy3d vs Jack-8 | 4–4 | 50.00% |
| Vloy3d vs Zafina | 1–4 | 20.00% |
| Vloy3d vs Panda | 1–1 | 50.00% |
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.