| Ùóóğęëëńš vs Jin | 20–9 | 68.97% |
| Ùóóğęëëńš vs Law | 8–9 | 47.06% |
| Ùóóğęëëńš vs Jun | 8–5 | 61.54% |
| Ùóóğęëëńš vs King | 5–7 | 41.67% |
| Ùóóğęëëńš vs Kazuya | 7–5 | 58.33% |
| Ùóóğęëëńš vs Dragunov | 6–4 | 60.00% |
| Ùóóğęëëńš vs Steve | 5–4 | 55.56% |
| Ùóóğęëëńš vs Lili | 4–5 | 44.44% |
| Ùóóğęëëńš vs Hwoarang | 4–4 | 50.00% |
| Ùóóğęëëńš vs Nina | 4–4 | 50.00% |
| Ùóóğęëëńš vs Xiaoyu | 5–2 | 71.43% |
| Ùóóğęëëńš vs Eddy | 5–2 | 71.43% |
| Ùóóğęëëńš vs Yoshimitsu | 1–5 | 16.67% |
| Ùóóğęëëńš vs Shaheen | 4–2 | 66.67% |
| Ùóóğęëëńš vs Leroy | 2–3 | 40.00% |
| Ùóóğęëëńš vs Reina | 5–0 | 100.00% |
| Ùóóğęëëńš vs Paul | 3–1 | 75.00% |
| Ùóóğęëëńš vs Asuka | 4–0 | 100.00% |
| Ùóóğęëëńš vs Azucena | 4–0 | 100.00% |
| Ùóóğęëëńš vs Heihachi | 2–2 | 50.00% |
| Ùóóğęëëńš vs Clive | 3–1 | 75.00% |
| Ùóóğęëëńš vs Bryan | 2–1 | 66.67% |
| Ùóóğęëëńš vs Lars | 1–2 | 33.33% |
| Ùóóğęëëńš vs Kuma | 2–1 | 66.67% |
| Ùóóğęëëńš vs Miary Zo | 1–2 | 33.33% |
| Ùóóğęëëńš vs Feng | 0–2 | 0.00% |
| Ùóóğęëëńš vs Leo | 2–0 | 100.00% |
| Ùóóğęëëńš vs Lee | 0–2 | 0.00% |
| Ùóóğęëëńš vs Zafina | 2–0 | 100.00% |
| Ùóóğęëëńš vs Armor King | 2–0 | 100.00% |
| Ùóóğęëëńš vs Alisa | 1–0 | 100.00% |
| Ùóóğęëëńš vs Panda | 0–1 | 0.00% |
| Ùóóğęëëńš vs Anna | 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.