| Nib_ vs Kazuya | 43–49 | 46.74% |
| Nib_ vs Jin | 39–46 | 45.88% |
| Nib_ vs Dragunov | 52–20 | 72.22% |
| Nib_ vs Paul | 39–28 | 58.21% |
| Nib_ vs Hwoarang | 34–30 | 53.12% |
| Nib_ vs Steve | 30–34 | 46.88% |
| Nib_ vs Bryan | 26–37 | 41.27% |
| Nib_ vs King | 28–29 | 49.12% |
| Nib_ vs Reina | 23–34 | 40.35% |
| Nib_ vs Asuka | 33–16 | 67.35% |
| Nib_ vs Clive | 17–30 | 36.17% |
| Nib_ vs Law | 18–21 | 46.15% |
| Nib_ vs Yoshimitsu | 15–24 | 38.46% |
| Nib_ vs Nina | 19–18 | 51.35% |
| Nib_ vs Heihachi | 20–16 | 55.56% |
| Nib_ vs Xiaoyu | 17–16 | 51.52% |
| Nib_ vs Devil Jin | 17–12 | 58.62% |
| Nib_ vs Lili | 20–9 | 68.97% |
| Nib_ vs Jun | 10–18 | 35.71% |
| Nib_ vs Jack-8 | 10–13 | 43.48% |
| Nib_ vs Feng | 10–11 | 47.62% |
| Nib_ vs Lars | 9–12 | 42.86% |
| Nib_ vs Claudio | 7–14 | 33.33% |
| Nib_ vs Shaheen | 7–11 | 38.89% |
| Nib_ vs Alisa | 7–10 | 41.18% |
| Nib_ vs Lidia | 8–9 | 47.06% |
| Nib_ vs Leo | 4–11 | 26.67% |
| Nib_ vs Kuma | 7–8 | 46.67% |
| Nib_ vs Lee | 8–6 | 57.14% |
| Nib_ vs Victor | 8–5 | 61.54% |
| Nib_ vs Armor King | 7–5 | 58.33% |
| Nib_ vs Raven | 3–8 | 27.27% |
| Nib_ vs Miary Zo | 3–7 | 30.00% |
| Nib_ vs Leroy | 4–5 | 44.44% |
| Nib_ vs Fahkumram | 3–6 | 33.33% |
| Nib_ vs Zafina | 4–4 | 50.00% |
| Nib_ vs Azucena | 5–3 | 62.50% |
| Nib_ vs Eddy | 2–6 | 25.00% |
| Nib_ vs Anna | 1–4 | 20.00% |
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.