| UGANDACHAN vs Reina | 19–19 | 50.00% |
| UGANDACHAN vs King | 3–12 | 20.00% |
| UGANDACHAN vs Dragunov | 2–13 | 13.33% |
| UGANDACHAN vs Lili | 4–9 | 30.77% |
| UGANDACHAN vs Paul | 3–9 | 25.00% |
| UGANDACHAN vs Jun | 3–7 | 30.00% |
| UGANDACHAN vs Hwoarang | 2–7 | 22.22% |
| UGANDACHAN vs Shaheen | 3–6 | 33.33% |
| UGANDACHAN vs Jin | 4–4 | 50.00% |
| UGANDACHAN vs Bryan | 0–8 | 0.00% |
| UGANDACHAN vs Kazuya | 1–7 | 12.50% |
| UGANDACHAN vs Victor | 1–7 | 12.50% |
| UGANDACHAN vs Lidia | 4–4 | 50.00% |
| UGANDACHAN vs Law | 2–5 | 28.57% |
| UGANDACHAN vs Asuka | 0–7 | 0.00% |
| UGANDACHAN vs Devil Jin | 1–6 | 14.29% |
| UGANDACHAN vs Xiaoyu | 0–6 | 0.00% |
| UGANDACHAN vs Azucena | 0–6 | 0.00% |
| UGANDACHAN vs Steve | 2–3 | 40.00% |
| UGANDACHAN vs Jack-8 | 1–4 | 20.00% |
| UGANDACHAN vs Feng | 1–4 | 20.00% |
| UGANDACHAN vs Nina | 2–3 | 40.00% |
| UGANDACHAN vs Lee | 1–4 | 20.00% |
| UGANDACHAN vs Eddy | 1–4 | 20.00% |
| UGANDACHAN vs Clive | 1–4 | 20.00% |
| UGANDACHAN vs Yoshimitsu | 1–3 | 25.00% |
| UGANDACHAN vs Heihachi | 2–2 | 50.00% |
| UGANDACHAN vs Raven | 1–2 | 33.33% |
| UGANDACHAN vs Leo | 0–2 | 0.00% |
| UGANDACHAN vs Lars | 0–2 | 0.00% |
| UGANDACHAN vs Alisa | 2–0 | 100.00% |
| UGANDACHAN vs Claudio | 0–2 | 0.00% |
| UGANDACHAN vs Kuma | 0–2 | 0.00% |
| UGANDACHAN vs Leroy | 0–2 | 0.00% |
| UGANDACHAN vs Panda | 1–0 | 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.