| unbalance vs Kazuya | 87–126 | 40.85% |
| unbalance vs Bryan | 78–92 | 45.88% |
| unbalance vs King | 77–89 | 46.39% |
| unbalance vs Paul | 81–79 | 50.62% |
| unbalance vs Dragunov | 71–89 | 44.38% |
| unbalance vs Hwoarang | 76–74 | 50.67% |
| unbalance vs Fahkumram | 63–82 | 43.45% |
| unbalance vs Armor King | 72–66 | 52.17% |
| unbalance vs Jin | 63–73 | 46.32% |
| unbalance vs Asuka | 54–55 | 49.54% |
| unbalance vs Reina | 54–40 | 57.45% |
| unbalance vs Heihachi | 30–50 | 37.50% |
| unbalance vs Law | 33–43 | 43.42% |
| unbalance vs Leroy | 34–42 | 44.74% |
| unbalance vs Steve | 29–39 | 42.65% |
| unbalance vs Feng | 23–43 | 34.85% |
| unbalance vs Claudio | 29–37 | 43.94% |
| unbalance vs Nina | 32–34 | 48.48% |
| unbalance vs Lars | 24–40 | 37.50% |
| unbalance vs Yoshimitsu | 27–36 | 42.86% |
| unbalance vs Devil Jin | 21–39 | 35.00% |
| unbalance vs Miary Zo | 21–35 | 37.50% |
| unbalance vs Jack-8 | 31–21 | 59.62% |
| unbalance vs Anna | 22–29 | 43.14% |
| unbalance vs Azucena | 25–24 | 51.02% |
| unbalance vs Lili | 22–25 | 46.81% |
| unbalance vs Alisa | 18–28 | 39.13% |
| unbalance vs Victor | 19–27 | 41.30% |
| unbalance vs Lidia | 29–17 | 63.04% |
| unbalance vs Xiaoyu | 19–26 | 42.22% |
| unbalance vs Jun | 27–17 | 61.36% |
| unbalance vs Leo | 22–21 | 51.16% |
| unbalance vs Clive | 21–19 | 52.50% |
| unbalance vs Lee | 18–19 | 48.65% |
| unbalance vs Shaheen | 15–17 | 46.88% |
| unbalance vs Eddy | 10–19 | 34.48% |
| unbalance vs Zafina | 12–15 | 44.44% |
| unbalance vs Raven | 9–18 | 33.33% |
| unbalance vs Panda | 6–11 | 35.29% |
| unbalance vs Kuma | 6–9 | 40.00% |
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.