| Karma vs King | 72–55 | 56.69% |
| Karma vs Bryan | 69–58 | 54.33% |
| Karma vs Jin | 76–43 | 63.87% |
| Karma vs Steve | 72–43 | 62.61% |
| Karma vs Kazuya | 50–61 | 45.05% |
| Karma vs Hwoarang | 51–53 | 49.04% |
| Karma vs Law | 51–48 | 51.52% |
| Karma vs Reina | 38–52 | 42.22% |
| Karma vs Dragunov | 37–44 | 45.68% |
| Karma vs Paul | 34–40 | 45.95% |
| Karma vs Lars | 37–33 | 52.86% |
| Karma vs Lili | 28–36 | 43.75% |
| Karma vs Lee | 29–35 | 45.31% |
| Karma vs Eddy | 30–33 | 47.62% |
| Karma vs Yoshimitsu | 24–37 | 39.34% |
| Karma vs Nina | 25–26 | 49.02% |
| Karma vs Xiaoyu | 18–30 | 37.50% |
| Karma vs Victor | 29–19 | 60.42% |
| Karma vs Azucena | 23–23 | 50.00% |
| Karma vs Jun | 21–22 | 48.84% |
| Karma vs Heihachi | 17–25 | 40.48% |
| Karma vs Feng | 21–18 | 53.85% |
| Karma vs Asuka | 15–21 | 41.67% |
| Karma vs Jack-8 | 15–18 | 45.45% |
| Karma vs Leroy | 14–16 | 46.67% |
| Karma vs Leo | 8–21 | 27.59% |
| Karma vs Devil Jin | 10–18 | 35.71% |
| Karma vs Raven | 12–16 | 42.86% |
| Karma vs Zafina | 12–14 | 46.15% |
| Karma vs Clive | 10–15 | 40.00% |
| Karma vs Kuma | 10–14 | 41.67% |
| Karma vs Alisa | 5–16 | 23.81% |
| Karma vs Lidia | 13–8 | 61.90% |
| Karma vs Shaheen | 9–10 | 47.37% |
| Karma vs Claudio | 4–13 | 23.53% |
| Karma vs Panda | 3–5 | 37.50% |
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.