| Vergil vs Heihachi | 26–21 | 55.32% |
| Vergil vs King | 26–18 | 59.09% |
| Vergil vs Jin | 20–12 | 62.50% |
| Vergil vs Kazuya | 19–13 | 59.38% |
| Vergil vs Azucena | 15–15 | 50.00% |
| Vergil vs Steve | 13–12 | 52.00% |
| Vergil vs Reina | 15–7 | 68.18% |
| Vergil vs Law | 8–10 | 44.44% |
| Vergil vs Asuka | 4–13 | 23.53% |
| Vergil vs Yoshimitsu | 6–9 | 40.00% |
| Vergil vs Hwoarang | 9–6 | 60.00% |
| Vergil vs Dragunov | 7–8 | 46.67% |
| Vergil vs Jun | 6–8 | 42.86% |
| Vergil vs Victor | 4–8 | 33.33% |
| Vergil vs Lars | 7–3 | 70.00% |
| Vergil vs Eddy | 2–8 | 20.00% |
| Vergil vs Clive | 5–5 | 50.00% |
| Vergil vs Armor King | 3–7 | 30.00% |
| Vergil vs Xiaoyu | 3–6 | 33.33% |
| Vergil vs Devil Jin | 3–6 | 33.33% |
| Vergil vs Claudio | 4–5 | 44.44% |
| Vergil vs Fahkumram | 4–5 | 44.44% |
| Vergil vs Bryan | 5–3 | 62.50% |
| Vergil vs Lili | 2–6 | 25.00% |
| Vergil vs Lidia | 2–6 | 25.00% |
| Vergil vs Miary Zo | 2–5 | 28.57% |
| Vergil vs Feng | 1–5 | 16.67% |
| Vergil vs Leo | 3–3 | 50.00% |
| Vergil vs Shaheen | 4–2 | 66.67% |
| Vergil vs Lee | 3–3 | 50.00% |
| Vergil vs Leroy | 1–5 | 16.67% |
| Vergil vs Anna | 1–4 | 20.00% |
| Vergil vs Paul | 2–2 | 50.00% |
| Vergil vs Alisa | 2–2 | 50.00% |
| Vergil vs Zafina | 4–0 | 100.00% |
| Vergil vs Jack-8 | 1–2 | 33.33% |
| Vergil vs Nina | 1–2 | 33.33% |
| Vergil vs Raven | 1–2 | 33.33% |
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.