| UomoN4bbo vs Kazuya | 25–27 | 48.08% |
| UomoN4bbo vs Hwoarang | 15–23 | 39.47% |
| UomoN4bbo vs King | 25–12 | 67.57% |
| UomoN4bbo vs Jin | 16–18 | 47.06% |
| UomoN4bbo vs Reina | 15–16 | 48.39% |
| UomoN4bbo vs Bryan | 10–16 | 38.46% |
| UomoN4bbo vs Lili | 12–12 | 50.00% |
| UomoN4bbo vs Heihachi | 11–13 | 45.83% |
| UomoN4bbo vs Asuka | 13–9 | 59.09% |
| UomoN4bbo vs Devil Jin | 10–8 | 55.56% |
| UomoN4bbo vs Paul | 5–11 | 31.25% |
| UomoN4bbo vs Nina | 8–8 | 50.00% |
| UomoN4bbo vs Law | 8–7 | 53.33% |
| UomoN4bbo vs Steve | 6–9 | 40.00% |
| UomoN4bbo vs Yoshimitsu | 4–10 | 28.57% |
| UomoN4bbo vs Azucena | 3–10 | 23.08% |
| UomoN4bbo vs Lars | 2–10 | 16.67% |
| UomoN4bbo vs Alisa | 6–5 | 54.55% |
| UomoN4bbo vs Armor King | 4–6 | 40.00% |
| UomoN4bbo vs Feng | 2–6 | 25.00% |
| UomoN4bbo vs Victor | 4–4 | 50.00% |
| UomoN4bbo vs Dragunov | 2–5 | 28.57% |
| UomoN4bbo vs Claudio | 6–1 | 85.71% |
| UomoN4bbo vs Lee | 5–2 | 71.43% |
| UomoN4bbo vs Eddy | 4–3 | 57.14% |
| UomoN4bbo vs Xiaoyu | 2–4 | 33.33% |
| UomoN4bbo vs Jun | 2–4 | 33.33% |
| UomoN4bbo vs Anna | 4–2 | 66.67% |
| UomoN4bbo vs Jack-8 | 2–3 | 40.00% |
| UomoN4bbo vs Lidia | 2–2 | 50.00% |
| UomoN4bbo vs Clive | 2–2 | 50.00% |
| UomoN4bbo vs Zafina | 1–2 | 33.33% |
| UomoN4bbo vs Leo | 2–0 | 100.00% |
| UomoN4bbo vs Shaheen | 2–0 | 100.00% |
| UomoN4bbo vs Leroy | 1–1 | 50.00% |
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.