| unich vs Kazuya | 496–434 | 53.33% |
| unich vs Jin | 374–391 | 48.89% |
| unich vs Bryan | 349–316 | 52.48% |
| unich vs Dragunov | 327–272 | 54.59% |
| unich vs Hwoarang | 268–303 | 46.94% |
| unich vs Reina | 318–231 | 57.92% |
| unich vs King | 253–282 | 47.29% |
| unich vs Heihachi | 253–219 | 53.60% |
| unich vs Steve | 217–231 | 48.44% |
| unich vs Lili | 232–216 | 51.79% |
| unich vs Paul | 204–234 | 46.58% |
| unich vs Devil Jin | 181–188 | 49.05% |
| unich vs Yoshimitsu | 155–151 | 50.65% |
| unich vs Asuka | 154–147 | 51.16% |
| unich vs Lee | 148–151 | 49.50% |
| unich vs Jun | 147–139 | 51.40% |
| unich vs Feng | 91–156 | 36.84% |
| unich vs Azucena | 132–114 | 53.66% |
| unich vs Lars | 95–125 | 43.18% |
| unich vs Nina | 97–119 | 44.91% |
| unich vs Armor King | 111–103–1 | 51.87% |
| unich vs Alisa | 100–107 | 48.31% |
| unich vs Law | 108–97 | 52.68% |
| unich vs Leroy | 95–109 | 46.57% |
| unich vs Lidia | 93–96 | 49.21% |
| unich vs Claudio | 90–84 | 51.72% |
| unich vs Anna | 80–90 | 47.06% |
| unich vs Fahkumram | 77–79 | 49.36% |
| unich vs Eddy | 70–77 | 47.62% |
| unich vs Leo | 63–80 | 44.06% |
| unich vs Xiaoyu | 67–74 | 47.52% |
| unich vs Victor | 65–72 | 47.45% |
| unich vs Clive | 64–45 | 58.72% |
| unich vs Shaheen | 52–54 | 49.06% |
| unich vs Raven | 45–52 | 46.39% |
| unich vs Jack-8 | 36–59 | 37.89% |
| unich vs Zafina | 32–50 | 39.02% |
| unich vs Miary Zo | 23–38 | 37.70% |
| unich vs Kuma | 20–22 | 47.62% |
| unich vs Panda | 6–5 | 54.55% |
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.