| Vera_Icon vs Jin | 36–10 | 78.26% |
| Vera_Icon vs Kazuya | 27–14 | 65.85% |
| Vera_Icon vs King | 24–15 | 61.54% |
| Vera_Icon vs Hwoarang | 20–18 | 52.63% |
| Vera_Icon vs Bryan | 19–16 | 54.29% |
| Vera_Icon vs Steve | 19–14 | 57.58% |
| Vera_Icon vs Reina | 15–16 | 48.39% |
| Vera_Icon vs Law | 18–10 | 64.29% |
| Vera_Icon vs Eddy | 17–11 | 60.71% |
| Vera_Icon vs Azucena | 13–13 | 50.00% |
| Vera_Icon vs Asuka | 18–7 | 72.00% |
| Vera_Icon vs Feng | 9–12 | 42.86% |
| Vera_Icon vs Lars | 14–7 | 66.67% |
| Vera_Icon vs Lili | 16–4 | 80.00% |
| Vera_Icon vs Jun | 16–4 | 80.00% |
| Vera_Icon vs Dragunov | 9–10 | 47.37% |
| Vera_Icon vs Leo | 9–9 | 50.00% |
| Vera_Icon vs Nina | 10–8 | 55.56% |
| Vera_Icon vs Yoshimitsu | 12–5 | 70.59% |
| Vera_Icon vs Xiaoyu | 7–8 | 46.67% |
| Vera_Icon vs Lee | 10–5 | 66.67% |
| Vera_Icon vs Jack-8 | 5–7 | 41.67% |
| Vera_Icon vs Devil Jin | 7–5 | 58.33% |
| Vera_Icon vs Paul | 7–4 | 63.64% |
| Vera_Icon vs Shaheen | 8–3 | 72.73% |
| Vera_Icon vs Alisa | 9–1 | 90.00% |
| Vera_Icon vs Victor | 4–6 | 40.00% |
| Vera_Icon vs Raven | 2–8 | 20.00% |
| Vera_Icon vs Lidia | 3–6 | 33.33% |
| Vera_Icon vs Claudio | 3–5 | 37.50% |
| Vera_Icon vs Zafina | 6–2 | 75.00% |
| Vera_Icon vs Heihachi | 5–3 | 62.50% |
| Vera_Icon vs Kuma | 5–2 | 71.43% |
| Vera_Icon vs Leroy | 1–5 | 16.67% |
| Vera_Icon 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.