| Vivi vs Jin | 23–20 | 53.49% |
| Vivi vs Reina | 21–16 | 56.76% |
| Vivi vs Hwoarang | 14–19 | 42.42% |
| Vivi vs Victor | 13–15 | 46.43% |
| Vivi vs Law | 15–12 | 55.56% |
| Vivi vs Jun | 13–14 | 48.15% |
| Vivi vs Azucena | 15–12 | 55.56% |
| Vivi vs Kazuya | 12–14 | 46.15% |
| Vivi vs Steve | 12–14 | 46.15% |
| Vivi vs King | 12–13 | 48.00% |
| Vivi vs Lili | 10–11 | 47.62% |
| Vivi vs Eddy | 6–15 | 28.57% |
| Vivi vs Lee | 8–10 | 44.44% |
| Vivi vs Lidia | 10–8 | 55.56% |
| Vivi vs Dragunov | 6–11 | 35.29% |
| Vivi vs Lars | 9–7 | 56.25% |
| Vivi vs Bryan | 2–12 | 14.29% |
| Vivi vs Asuka | 9–4 | 69.23% |
| Vivi vs Nina | 9–4 | 69.23% |
| Vivi vs Paul | 3–9 | 25.00% |
| Vivi vs Heihachi | 8–4 | 66.67% |
| Vivi vs Yoshimitsu | 6–3 | 66.67% |
| Vivi vs Xiaoyu | 3–6 | 33.33% |
| Vivi vs Kuma | 6–3 | 66.67% |
| Vivi vs Leroy | 4–5 | 44.44% |
| Vivi vs Devil Jin | 3–5 | 37.50% |
| Vivi vs Feng | 2–5 | 28.57% |
| Vivi vs Clive | 3–4 | 42.86% |
| Vivi vs Alisa | 3–3 | 50.00% |
| Vivi vs Fahkumram | 3–3 | 50.00% |
| Vivi vs Panda | 1–4 | 20.00% |
| Vivi vs Armor King | 3–2 | 60.00% |
| Vivi vs Jack-8 | 2–2 | 50.00% |
| Vivi vs Anna | 1–2 | 33.33% |
| Vivi vs Shaheen | 1–1 | 50.00% |
| Vivi vs Zafina | 1–1 | 50.00% |
| Vivi vs Leo | 1–0 | 100.00% |
| Vivi vs Claudio | 1–0 | 100.00% |
| Vivi vs Raven | 1–0 | 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.