| TKM-Karma vs Kazuya | 272–287 | 48.66% |
| TKM-Karma vs Bryan | 196–273 | 41.79% |
| TKM-Karma vs Jin | 202–208 | 49.27% |
| TKM-Karma vs Reina | 231–137 | 62.77% |
| TKM-Karma vs Heihachi | 189–169 | 52.79% |
| TKM-Karma vs Hwoarang | 150–197 | 43.23% |
| TKM-Karma vs King | 138–178 | 43.67% |
| TKM-Karma vs Steve | 143–129 | 52.57% |
| TKM-Karma vs Law | 112–156 | 41.79% |
| TKM-Karma vs Paul | 112–128 | 46.67% |
| TKM-Karma vs Dragunov | 98–126 | 43.75% |
| TKM-Karma vs Lili | 134–87 | 60.63% |
| TKM-Karma vs Devil Jin | 92–106 | 46.46% |
| TKM-Karma vs Yoshimitsu | 89–104 | 46.11% |
| TKM-Karma vs Lee | 84–107 | 43.98% |
| TKM-Karma vs Lars | 64–102 | 38.55% |
| TKM-Karma vs Xiaoyu | 71–91 | 43.83% |
| TKM-Karma vs Asuka | 75–71 | 51.37% |
| TKM-Karma vs Jun | 65–79 | 45.14% |
| TKM-Karma vs Azucena | 56–67 | 45.53% |
| TKM-Karma vs Victor | 55–66 | 45.45% |
| TKM-Karma vs Clive | 74–46 | 61.67% |
| TKM-Karma vs Armor King | 72–48 | 60.00% |
| TKM-Karma vs Feng | 57–62 | 47.90% |
| TKM-Karma vs Nina | 54–65 | 45.38% |
| TKM-Karma vs Eddy | 44–68 | 39.29% |
| TKM-Karma vs Claudio | 55–51 | 51.89% |
| TKM-Karma vs Lidia | 59–43 | 57.84% |
| TKM-Karma vs Anna | 51–47 | 52.04% |
| TKM-Karma vs Fahkumram | 50–44 | 53.19% |
| TKM-Karma vs Jack-8 | 40–48 | 45.45% |
| TKM-Karma vs Alisa | 36–48 | 42.86% |
| TKM-Karma vs Leo | 33–46 | 41.77% |
| TKM-Karma vs Leroy | 36–36 | 50.00% |
| TKM-Karma vs Raven | 34–34 | 50.00% |
| TKM-Karma vs Zafina | 20–33 | 37.74% |
| TKM-Karma vs Shaheen | 23–25 | 47.92% |
| TKM-Karma vs Kuma | 15–20 | 42.86% |
| TKM-Karma vs Miary Zo | 15–13 | 53.57% |
| TKM-Karma vs Panda | 6–12 | 33.33% |
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.