| ug o3o vs King | 7–4 | 63.64% |
| ug o3o vs Victor | 1–5 | 16.67% |
| ug o3o vs Asuka | 2–3 | 40.00% |
| ug o3o vs Reina | 2–3 | 40.00% |
| ug o3o vs Hwoarang | 0–4 | 0.00% |
| ug o3o vs Xiaoyu | 1–2 | 33.33% |
| ug o3o vs Jin | 0–3 | 0.00% |
| ug o3o vs Kuma | 1–2 | 33.33% |
| ug o3o vs Law | 0–2 | 0.00% |
| ug o3o vs Kazuya | 0–2 | 0.00% |
| ug o3o vs Lili | 0–2 | 0.00% |
| ug o3o vs Dragunov | 0–2 | 0.00% |
| ug o3o vs Shaheen | 0–2 | 0.00% |
| ug o3o vs Nina | 0–2 | 0.00% |
| ug o3o vs Bryan | 1–1 | 50.00% |
| ug o3o vs Panda | 0–2 | 0.00% |
| ug o3o vs Steve | 0–1 | 0.00% |
| ug o3o vs Devil Jin | 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.