| greenkarma vs King | 69–78 | 46.94% |
| greenkarma vs Kazuya | 58–89 | 39.46% |
| greenkarma vs Jin | 68–74–1 | 47.89% |
| greenkarma vs Hwoarang | 72–69 | 51.06% |
| greenkarma vs Law | 65–68 | 48.87% |
| greenkarma vs Bryan | 41–85 | 32.54% |
| greenkarma vs Steve | 45–64 | 41.28% |
| greenkarma vs Heihachi | 30–52 | 36.59% |
| greenkarma vs Reina | 40–38 | 51.28% |
| greenkarma vs Dragunov | 34–35 | 49.28% |
| greenkarma vs Eddy | 30–33 | 47.62% |
| greenkarma vs Lili | 33–25 | 56.90% |
| greenkarma vs Yoshimitsu | 28–29 | 49.12% |
| greenkarma vs Paul | 25–30 | 45.45% |
| greenkarma vs Jun | 28–26 | 51.85% |
| greenkarma vs Nina | 21–29 | 42.00% |
| greenkarma vs Clive | 21–27 | 43.75% |
| greenkarma vs Asuka | 21–22 | 48.84% |
| greenkarma vs Fahkumram | 21–22 | 48.84% |
| greenkarma vs Victor | 16–26 | 38.10% |
| greenkarma vs Devil Jin | 21–20 | 51.22% |
| greenkarma vs Lee | 18–23 | 43.90% |
| greenkarma vs Azucena | 20–19 | 51.28% |
| greenkarma vs Jack-8 | 18–20 | 47.37% |
| greenkarma vs Alisa | 12–25 | 32.43% |
| greenkarma vs Lidia | 14–17 | 45.16% |
| greenkarma vs Xiaoyu | 17–13 | 56.67% |
| greenkarma vs Lars | 16–12 | 57.14% |
| greenkarma vs Feng | 5–12 | 29.41% |
| greenkarma vs Anna | 8–9 | 47.06% |
| greenkarma vs Leo | 5–9 | 35.71% |
| greenkarma vs Claudio | 8–6 | 57.14% |
| greenkarma vs Shaheen | 7–4 | 63.64% |
| greenkarma vs Leroy | 3–8 | 27.27% |
| greenkarma vs Kuma | 5–5 | 50.00% |
| greenkarma vs Zafina | 3–5 | 37.50% |
| greenkarma vs Raven | 3–4 | 42.86% |
| greenkarma vs Panda | 0–1 | 0.00% |
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.