| UncleMarty vs Bryan | 30–22 | 57.69% |
| UncleMarty vs Kazuya | 35–16 | 68.63% |
| UncleMarty vs Jin | 24–23 | 51.06% |
| UncleMarty vs Jack-8 | 24–15 | 61.54% |
| UncleMarty vs Paul | 17–18 | 48.57% |
| UncleMarty vs Dragunov | 18–17 | 51.43% |
| UncleMarty vs Lili | 21–13 | 61.76% |
| UncleMarty vs Yoshimitsu | 20–11 | 64.52% |
| UncleMarty vs Jun | 17–12 | 58.62% |
| UncleMarty vs King | 15–13 | 53.57% |
| UncleMarty vs Feng | 10–18 | 35.71% |
| UncleMarty vs Steve | 17–9–1 | 65.38% |
| UncleMarty vs Hwoarang | 15–10 | 60.00% |
| UncleMarty vs Reina | 21–4 | 84.00% |
| UncleMarty vs Lee | 11–13 | 45.83% |
| UncleMarty vs Nina | 14–8 | 63.64% |
| UncleMarty vs Azucena | 15–6 | 71.43% |
| UncleMarty vs Devil Jin | 12–8 | 60.00% |
| UncleMarty vs Lars | 12–8 | 60.00% |
| UncleMarty vs Shaheen | 11–8 | 57.89% |
| UncleMarty vs Kuma | 11–8 | 57.89% |
| UncleMarty vs Claudio | 9–9 | 50.00% |
| UncleMarty vs Leroy | 9–9 | 50.00% |
| UncleMarty vs Law | 6–10 | 37.50% |
| UncleMarty vs Asuka | 6–9 | 40.00% |
| UncleMarty vs Victor | 10–5 | 66.67% |
| UncleMarty vs Eddy | 6–6 | 50.00% |
| UncleMarty vs Raven | 5–6 | 45.45% |
| UncleMarty vs Alisa | 6–4 | 60.00% |
| UncleMarty vs Panda | 6–4 | 60.00% |
| UncleMarty vs Leo | 7–2 | 77.78% |
| UncleMarty vs Zafina | 2–4 | 33.33% |
| UncleMarty vs Xiaoyu | 1–3 | 25.00% |
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.