| Unyy vs Kazuya | 74–66 | 52.86% |
| Unyy vs Heihachi | 67–58 | 53.60% |
| Unyy vs Jin | 55–57 | 49.11% |
| Unyy vs King | 49–44 | 52.69% |
| Unyy vs Reina | 42–45 | 48.28% |
| Unyy vs Clive | 31–52 | 37.35% |
| Unyy vs Bryan | 45–35 | 56.25% |
| Unyy vs Hwoarang | 37–38 | 49.33% |
| Unyy vs Yoshimitsu | 26–47 | 35.62% |
| Unyy vs Steve | 38–35 | 52.05% |
| Unyy vs Law | 44–28 | 61.11% |
| Unyy vs Lili | 36–24 | 60.00% |
| Unyy vs Jun | 30–30 | 50.00% |
| Unyy vs Dragunov | 29–22 | 56.86% |
| Unyy vs Victor | 37–14 | 72.55% |
| Unyy vs Lidia | 20–29 | 40.82% |
| Unyy vs Asuka | 23–19 | 54.76% |
| Unyy vs Paul | 21–20 | 51.22% |
| Unyy vs Azucena | 17–23–1 | 42.50% |
| Unyy vs Feng | 20–19 | 51.28% |
| Unyy vs Lee | 15–23 | 39.47% |
| Unyy vs Devil Jin | 18–17 | 51.43% |
| Unyy vs Nina | 18–14 | 56.25% |
| Unyy vs Raven | 16–16 | 50.00% |
| Unyy vs Xiaoyu | 13–18 | 41.94% |
| Unyy vs Eddy | 16–15 | 51.61% |
| Unyy vs Fahkumram | 17–14 | 54.84% |
| Unyy vs Lars | 16–10 | 61.54% |
| Unyy vs Leroy | 14–11 | 56.00% |
| Unyy vs Jack-8 | 6–17 | 26.09% |
| Unyy vs Alisa | 10–12 | 45.45% |
| Unyy vs Leo | 5–14 | 26.32% |
| Unyy vs Claudio | 10–4 | 71.43% |
| Unyy vs Anna | 9–5 | 64.29% |
| Unyy vs Armor King | 10–4 | 71.43% |
| Unyy vs Zafina | 5–5 | 50.00% |
| Unyy vs Kuma | 3–5 | 37.50% |
| Unyy vs Panda | 3–3 | 50.00% |
| Unyy vs Shaheen | 3–2 | 60.00% |
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.