| onibi vs Paul | 55–50 | 52.38% |
| onibi vs Reina | 41–56 | 42.27% |
| onibi vs Jin | 48–43 | 52.75% |
| onibi vs Bryan | 43–47 | 47.78% |
| onibi vs Lili | 46–34 | 57.50% |
| onibi vs King | 38–38 | 50.00% |
| onibi vs Kazuya | 50–25 | 66.67% |
| onibi vs Law | 35–34 | 50.72% |
| onibi vs Nina | 30–38 | 44.12% |
| onibi vs Hwoarang | 33–34 | 49.25% |
| onibi vs Feng | 36–30 | 54.55% |
| onibi vs Steve | 31–34 | 47.69% |
| onibi vs Lars | 30–34 | 46.88% |
| onibi vs Devil Jin | 32–31 | 50.79% |
| onibi vs Dragunov | 32–25–1 | 56.14% |
| onibi vs Victor | 23–32 | 41.82% |
| onibi vs Leroy | 24–29 | 45.28% |
| onibi vs Azucena | 27–23 | 54.00% |
| onibi vs Anna | 27–23 | 54.00% |
| onibi vs Jack-8 | 23–26 | 46.94% |
| onibi vs Asuka | 31–18 | 63.27% |
| onibi vs Jun | 30–19 | 61.22% |
| onibi vs Leo | 35–12 | 74.47% |
| onibi vs Yoshimitsu | 29–17 | 63.04% |
| onibi vs Alisa | 21–23 | 47.73% |
| onibi vs Lee | 15–26 | 36.59% |
| onibi vs Claudio | 21–19 | 52.50% |
| onibi vs Shaheen | 17–22 | 43.59% |
| onibi vs Xiaoyu | 22–15 | 59.46% |
| onibi vs Zafina | 15–20 | 42.86% |
| onibi vs Kuma | 16–11 | 59.26% |
| onibi vs Eddy | 13–9 | 59.09% |
| onibi vs Lidia | 9–11 | 45.00% |
| onibi vs Raven | 9–6 | 60.00% |
| onibi vs Panda | 5–6 | 45.45% |
| onibi vs Clive | 3–6 | 33.33% |
| onibi vs Heihachi | 0–1 | 0.00% |
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.