| knen vs Steve | 87–87 | 50.00% |
| knen vs Hwoarang | 100–63 | 61.35% |
| knen vs Paul | 89–71 | 55.62% |
| knen vs Bryan | 62–91 | 40.52% |
| knen vs Kazuya | 74–78 | 48.68% |
| knen vs Jin | 72–78 | 48.00% |
| knen vs Dragunov | 65–77 | 45.77% |
| knen vs Clive | 55–75 | 42.31% |
| knen vs King | 59–61 | 49.17% |
| knen vs Yoshimitsu | 39–70 | 35.78% |
| knen vs Heihachi | 54–55 | 49.54% |
| knen vs Law | 56–37 | 60.22% |
| knen vs Reina | 38–49 | 43.68% |
| knen vs Devil Jin | 38–47 | 44.71% |
| knen vs Asuka | 40–41 | 49.38% |
| knen vs Victor | 37–42 | 46.84% |
| knen vs Lili | 37–38 | 49.33% |
| knen vs Lars | 32–42 | 43.24% |
| knen vs Alisa | 36–34 | 51.43% |
| knen vs Jack-8 | 36–33 | 52.17% |
| knen vs Claudio | 34–32 | 51.52% |
| knen vs Azucena | 30–35 | 46.15% |
| knen vs Nina | 33–29 | 53.23% |
| knen vs Jun | 30–30 | 50.00% |
| knen vs Lee | 27–26 | 50.94% |
| knen vs Kuma | 20–33 | 37.74% |
| knen vs Raven | 22–30 | 42.31% |
| knen vs Xiaoyu | 23–24 | 48.94% |
| knen vs Leo | 19–28 | 40.43% |
| knen vs Leroy | 15–28 | 34.88% |
| knen vs Lidia | 20–22 | 47.62% |
| knen vs Feng | 15–20 | 42.86% |
| knen vs Shaheen | 12–23 | 34.29% |
| knen vs Zafina | 15–19 | 44.12% |
| knen vs Eddy | 16–18 | 47.06% |
| knen vs Anna | 17–16 | 51.52% |
| knen vs Panda | 4–0 | 100.00% |
| knen vs Miary Zo | 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.