| onnon vs Hwoarang | 12–9 | 57.14% |
| onnon vs Kazuya | 6–5 | 54.55% |
| onnon vs Jin | 2–8 | 20.00% |
| onnon vs Reina | 8–2 | 80.00% |
| onnon vs Feng | 4–5 | 44.44% |
| onnon vs Eddy | 4–5 | 44.44% |
| onnon vs Law | 3–5 | 37.50% |
| onnon vs Steve | 6–2 | 75.00% |
| onnon vs King | 3–4 | 42.86% |
| onnon vs Yoshimitsu | 4–2 | 66.67% |
| onnon vs Asuka | 2–2 | 50.00% |
| onnon vs Dragunov | 2–2 | 50.00% |
| onnon vs Lars | 2–2 | 50.00% |
| onnon vs Bryan | 2–1 | 66.67% |
| onnon vs Jack-8 | 2–1 | 66.67% |
| onnon vs Lili | 3–0 | 100.00% |
| onnon vs Alisa | 1–2 | 33.33% |
| onnon vs Paul | 2–0 | 100.00% |
| onnon vs Xiaoyu | 2–0 | 100.00% |
| onnon vs Devil Jin | 2–0 | 100.00% |
| onnon vs Leo | 1–1 | 50.00% |
| onnon vs Jun | 0–2 | 0.00% |
| onnon vs Claudio | 0–1 | 0.00% |
| onnon vs Zafina | 0–1 | 0.00% |
| onnon vs Azucena | 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.