| Vergil vs Kazuya | 32–21 | 60.38% |
| Vergil vs Jin | 37–11 | 77.08% |
| Vergil vs King | 36–6 | 85.71% |
| Vergil vs Hwoarang | 22–17 | 56.41% |
| Vergil vs Raven | 22–11 | 66.67% |
| Vergil vs Steve | 20–12 | 62.50% |
| Vergil vs Lili | 21–11 | 65.62% |
| Vergil vs Law | 20–8 | 71.43% |
| Vergil vs Reina | 19–8 | 70.37% |
| Vergil vs Bryan | 17–8 | 68.00% |
| Vergil vs Victor | 17–5 | 77.27% |
| Vergil vs Paul | 15–5 | 75.00% |
| Vergil vs Jack-8 | 15–5 | 75.00% |
| Vergil vs Dragunov | 10–10 | 50.00% |
| Vergil vs Heihachi | 11–8 | 57.89% |
| Vergil vs Clive | 12–7 | 63.16% |
| Vergil vs Jun | 14–4 | 77.78% |
| Vergil vs Anna | 8–10 | 44.44% |
| Vergil vs Lars | 7–10 | 41.18% |
| Vergil vs Yoshimitsu | 12–4 | 75.00% |
| Vergil vs Asuka | 13–2 | 86.67% |
| Vergil vs Lee | 8–5 | 61.54% |
| Vergil vs Eddy | 9–3 | 75.00% |
| Vergil vs Devil Jin | 5–6 | 45.45% |
| Vergil vs Azucena | 8–3 | 72.73% |
| Vergil vs Lidia | 7–3 | 70.00% |
| Vergil vs Xiaoyu | 6–3 | 66.67% |
| Vergil vs Nina | 8–0 | 100.00% |
| Vergil vs Feng | 5–2 | 71.43% |
| Vergil vs Leroy | 4–3 | 57.14% |
| Vergil vs Alisa | 5–1 | 83.33% |
| Vergil vs Leo | 3–1 | 75.00% |
| Vergil vs Claudio | 3–0 | 100.00% |
| Vergil vs Kuma | 3–0 | 100.00% |
| Vergil vs Panda | 2–1 | 66.67% |
| Vergil vs Zafina | 2–0 | 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.