| Knaya vs Jin | 122–74 | 62.24% |
| Knaya vs Kazuya | 108–87 | 55.38% |
| Knaya vs King | 84–85 | 49.70% |
| Knaya vs Reina | 68–75 | 47.55% |
| Knaya vs Devil Jin | 53–55 | 49.07% |
| Knaya vs Dragunov | 50–58 | 46.30% |
| Knaya vs Paul | 34–63 | 35.05% |
| Knaya vs Bryan | 36–61 | 37.11% |
| Knaya vs Heihachi | 49–46 | 51.58% |
| Knaya vs Lili | 39–53 | 42.39% |
| Knaya vs Law | 43–48 | 47.25% |
| Knaya vs Steve | 39–46 | 45.88% |
| Knaya vs Eddy | 37–47 | 44.05% |
| Knaya vs Hwoarang | 31–52 | 37.35% |
| Knaya vs Victor | 41–41 | 50.00% |
| Knaya vs Xiaoyu | 30–45 | 40.00% |
| Knaya vs Jun | 31–38 | 44.93% |
| Knaya vs Yoshimitsu | 24–44 | 35.29% |
| Knaya vs Feng | 26–39 | 40.00% |
| Knaya vs Asuka | 24–39 | 38.10% |
| Knaya vs Nina | 22–37 | 37.29% |
| Knaya vs Alisa | 28–30 | 48.28% |
| Knaya vs Lidia | 32–26 | 55.17% |
| Knaya vs Lars | 20–26 | 43.48% |
| Knaya vs Azucena | 25–19 | 56.82% |
| Knaya vs Lee | 21–20 | 51.22% |
| Knaya vs Leo | 11–23 | 32.35% |
| Knaya vs Leroy | 14–20 | 41.18% |
| Knaya vs Kuma | 14–17 | 45.16% |
| Knaya vs Clive | 18–13 | 58.06% |
| Knaya vs Claudio | 13–15 | 46.43% |
| Knaya vs Jack-8 | 9–16 | 36.00% |
| Knaya vs Raven | 9–15 | 37.50% |
| Knaya vs Zafina | 13–6 | 68.42% |
| Knaya vs Shaheen | 10–6 | 62.50% |
| Knaya vs Panda | 5–5 | 50.00% |
| Knaya vs Anna | 3–4 | 42.86% |
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.