| unyune vs Lidia | 78–59 | 56.93% |
| unyune vs Kazuya | 60–75 | 44.44% |
| unyune vs Dragunov | 46–51 | 47.42% |
| unyune vs Paul | 49–44 | 52.69% |
| unyune vs Reina | 52–39 | 57.14% |
| unyune vs Hwoarang | 52–34 | 60.47% |
| unyune vs Bryan | 40–36 | 52.63% |
| unyune vs Jin | 48–26 | 64.86% |
| unyune vs Lili | 42–32 | 56.76% |
| unyune vs Steve | 42–30 | 58.33% |
| unyune vs King | 38–33 | 53.52% |
| unyune vs Azucena | 28–30 | 48.28% |
| unyune vs Heihachi | 31–24 | 56.36% |
| unyune vs Jun | 30–23 | 56.60% |
| unyune vs Xiaoyu | 29–19 | 60.42% |
| unyune vs Devil Jin | 28–18 | 60.87% |
| unyune vs Victor | 28–18 | 60.87% |
| unyune vs Law | 24–20 | 54.55% |
| unyune vs Jack-8 | 24–19 | 55.81% |
| unyune vs Alisa | 25–16 | 60.98% |
| unyune vs Claudio | 26–14 | 65.00% |
| unyune vs Kuma | 26–14 | 65.00% |
| unyune vs Leroy | 23–17 | 57.50% |
| unyune vs Yoshimitsu | 20–19 | 51.28% |
| unyune vs Asuka | 28–10 | 73.68% |
| unyune vs Feng | 23–15 | 60.53% |
| unyune vs Lee | 14–23 | 37.84% |
| unyune vs Zafina | 18–13 | 58.06% |
| unyune vs Leo | 14–16 | 46.67% |
| unyune vs Lars | 13–16 | 44.83% |
| unyune vs Eddy | 17–8 | 68.00% |
| unyune vs Nina | 10–12 | 45.45% |
| unyune vs Panda | 11–11 | 50.00% |
| unyune vs Shaheen | 11–10 | 52.38% |
| unyune vs Raven | 11–7 | 61.11% |
| unyune vs Clive | 7–2 | 77.78% |
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.