| 1uNa vs Hwoarang | 75–56 | 57.25% |
| 1uNa vs Kazuya | 57–65 | 46.72% |
| 1uNa vs Dragunov | 60–55 | 52.17% |
| 1uNa vs Paul | 52–55 | 48.60% |
| 1uNa vs King | 60–41 | 59.41% |
| 1uNa vs Lili | 35–55 | 38.89% |
| 1uNa vs Reina | 48–38 | 55.81% |
| 1uNa vs Bryan | 26–57 | 31.33% |
| 1uNa vs Victor | 36–44 | 45.00% |
| 1uNa vs Jin | 32–44 | 42.11% |
| 1uNa vs Law | 29–39 | 42.65% |
| 1uNa vs Steve | 24–44 | 35.29% |
| 1uNa vs Asuka | 33–34 | 49.25% |
| 1uNa vs Jun | 31–29 | 51.67% |
| 1uNa vs Feng | 17–37 | 31.48% |
| 1uNa vs Azucena | 26–28 | 48.15% |
| 1uNa vs Clive | 29–24 | 54.72% |
| 1uNa vs Jack-8 | 14–33 | 29.79% |
| 1uNa vs Yoshimitsu | 24–21 | 53.33% |
| 1uNa vs Xiaoyu | 24–21 | 53.33% |
| 1uNa vs Devil Jin | 19–23 | 45.24% |
| 1uNa vs Lidia | 18–24 | 42.86% |
| 1uNa vs Lars | 17–21 | 44.74% |
| 1uNa vs Lee | 15–22 | 40.54% |
| 1uNa vs Claudio | 20–16 | 55.56% |
| 1uNa vs Alisa | 15–19 | 44.12% |
| 1uNa vs Heihachi | 12–21 | 36.36% |
| 1uNa vs Leo | 15–16 | 48.39% |
| 1uNa vs Kuma | 19–10 | 65.52% |
| 1uNa vs Eddy | 14–14 | 50.00% |
| 1uNa vs Zafina | 16–10 | 61.54% |
| 1uNa vs Leroy | 11–15 | 42.31% |
| 1uNa vs Nina | 5–18 | 21.74% |
| 1uNa vs Shaheen | 6–9 | 40.00% |
| 1uNa vs Raven | 5–9 | 35.71% |
| 1uNa vs Anna | 5–6 | 45.45% |
| 1uNa vs Panda | 1–7 | 12.50% |
| 1uNa vs Fahkumram | 4–3 | 57.14% |
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.