| uni630 vs Paul | 28–5 | 84.85% |
| uni630 vs Heihachi | 28–5 | 84.85% |
| uni630 vs Bryan | 16–15 | 51.61% |
| uni630 vs Asuka | 22–7 | 75.86% |
| uni630 vs King | 23–5 | 82.14% |
| uni630 vs Dragunov | 20–7 | 74.07% |
| uni630 vs Reina | 19–5 | 79.17% |
| uni630 vs Yoshimitsu | 18–5 | 78.26% |
| uni630 vs Kazuya | 13–10 | 56.52% |
| uni630 vs Hwoarang | 16–6 | 72.73% |
| uni630 vs Kuma | 17–5 | 77.27% |
| uni630 vs Claudio | 20–1 | 95.24% |
| uni630 vs Victor | 15–5 | 75.00% |
| uni630 vs Jin | 13–5 | 72.22% |
| uni630 vs Lili | 12–6 | 66.67% |
| uni630 vs Lars | 16–2 | 88.89% |
| uni630 vs Jun | 12–5 | 70.59% |
| uni630 vs Azucena | 13–4 | 76.47% |
| uni630 vs Jack-8 | 11–4 | 73.33% |
| uni630 vs Leroy | 11–4 | 73.33% |
| uni630 vs Raven | 13–2 | 86.67% |
| uni630 vs Alisa | 12–2 | 85.71% |
| uni630 vs Law | 7–6 | 53.85% |
| uni630 vs Devil Jin | 8–5 | 61.54% |
| uni630 vs Nina | 6–7 | 46.15% |
| uni630 vs Clive | 7–6 | 53.85% |
| uni630 vs Steve | 10–2 | 83.33% |
| uni630 vs Feng | 11–1 | 91.67% |
| uni630 vs Leo | 5–5 | 50.00% |
| uni630 vs Eddy | 6–3 | 66.67% |
| uni630 vs Xiaoyu | 7–0 | 100.00% |
| uni630 vs Lee | 5–2 | 71.43% |
| uni630 vs Lidia | 3–2 | 60.00% |
| uni630 vs Shaheen | 2–2 | 50.00% |
| uni630 vs Zafina | 3–0 | 100.00% |
| uni630 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.