| KNX_ vs Bryan | 31–16 | 65.96% |
| KNX_ vs Kazuya | 26–18 | 59.09% |
| KNX_ vs Jin | 22–20 | 52.38% |
| KNX_ vs King | 26–15 | 63.41% |
| KNX_ vs Hwoarang | 16–19 | 45.71% |
| KNX_ vs Dragunov | 16–13 | 55.17% |
| KNX_ vs Paul | 17–10 | 62.96% |
| KNX_ vs Reina | 15–9 | 62.50% |
| KNX_ vs Heihachi | 9–14 | 39.13% |
| KNX_ vs Lili | 12–9 | 57.14% |
| KNX_ vs Yoshimitsu | 12–6–1 | 66.67% |
| KNX_ vs Xiaoyu | 6–13 | 31.58% |
| KNX_ vs Steve | 13–6 | 68.42% |
| KNX_ vs Zafina | 8–9 | 47.06% |
| KNX_ vs Lars | 12–4 | 75.00% |
| KNX_ vs Lee | 7–9 | 43.75% |
| KNX_ vs Victor | 7–9 | 43.75% |
| KNX_ vs Raven | 12–4 | 75.00% |
| KNX_ vs Eddy | 7–8 | 46.67% |
| KNX_ vs Law | 8–5 | 61.54% |
| KNX_ vs Feng | 2–11 | 15.38% |
| KNX_ vs Nina | 9–4 | 69.23% |
| KNX_ vs Devil Jin | 8–4 | 66.67% |
| KNX_ vs Leo | 7–3 | 70.00% |
| KNX_ vs Jack-8 | 5–4 | 55.56% |
| KNX_ vs Asuka | 6–3 | 66.67% |
| KNX_ vs Alisa | 4–5 | 44.44% |
| KNX_ vs Shaheen | 4–5 | 44.44% |
| KNX_ vs Claudio | 7–1 | 87.50% |
| KNX_ vs Kuma | 3–5 | 37.50% |
| KNX_ vs Leroy | 2–6 | 25.00% |
| KNX_ vs Miary Zo | 5–3 | 62.50% |
| KNX_ vs Jun | 3–3 | 50.00% |
| KNX_ vs Azucena | 2–2 | 50.00% |
| KNX_ vs Lidia | 2–1 | 66.67% |
| KNX_ vs Anna | 3–0 | 100.00% |
| KNX_ vs Panda | 2–0 | 100.00% |
| KNX_ vs Armor King | 1–0 | 100.00% |
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.