| 0NIB0 vs Clive | 8–6 | 57.14% |
| 0NIB0 vs Nina | 6–2 | 75.00% |
| 0NIB0 vs Xiaoyu | 4–3 | 57.14% |
| 0NIB0 vs Reina | 5–1 | 83.33% |
| 0NIB0 vs King | 5–0 | 100.00% |
| 0NIB0 vs Lars | 3–2 | 60.00% |
| 0NIB0 vs Heihachi | 2–2 | 50.00% |
| 0NIB0 vs Kazuya | 0–3 | 0.00% |
| 0NIB0 vs Steve | 2–1 | 66.67% |
| 0NIB0 vs Feng | 1–2 | 33.33% |
| 0NIB0 vs Leo | 1–2 | 33.33% |
| 0NIB0 vs Claudio | 1–2 | 33.33% |
| 0NIB0 vs Lee | 1–2 | 33.33% |
| 0NIB0 vs Leroy | 2–1 | 66.67% |
| 0NIB0 vs Jun | 2–1 | 66.67% |
| 0NIB0 vs Eddy | 2–1 | 66.67% |
| 0NIB0 vs Bryan | 0–2 | 0.00% |
| 0NIB0 vs Shaheen | 2–0 | 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.