| xknxtn vs Kazuya | 123–123 | 50.00% |
| xknxtn vs Jin | 107–123 | 46.52% |
| xknxtn vs King | 99–130 | 43.23% |
| xknxtn vs Reina | 86–88 | 49.43% |
| xknxtn vs Paul | 63–73 | 46.32% |
| xknxtn vs Bryan | 72–64 | 52.94% |
| xknxtn vs Hwoarang | 48–85 | 36.09% |
| xknxtn vs Clive | 45–86 | 34.35% |
| xknxtn vs Law | 58–71 | 44.96% |
| xknxtn vs Heihachi | 57–67 | 45.97% |
| xknxtn vs Yoshimitsu | 53–68 | 43.80% |
| xknxtn vs Lili | 57–61 | 48.31% |
| xknxtn vs Dragunov | 48–63 | 43.24% |
| xknxtn vs Steve | 48–49 | 49.48% |
| xknxtn vs Jun | 31–44 | 41.33% |
| xknxtn vs Lee | 36–36 | 50.00% |
| xknxtn vs Asuka | 34–37 | 47.89% |
| xknxtn vs Devil Jin | 15–50 | 23.08% |
| xknxtn vs Xiaoyu | 24–40 | 37.50% |
| xknxtn vs Feng | 20–43 | 31.75% |
| xknxtn vs Victor | 26–36 | 41.94% |
| xknxtn vs Nina | 31–29 | 51.67% |
| xknxtn vs Eddy | 25–26 | 49.02% |
| xknxtn vs Lidia | 24–26 | 48.00% |
| xknxtn vs Leo | 23–25 | 47.92% |
| xknxtn vs Lars | 22–26 | 45.83% |
| xknxtn vs Alisa | 22–23 | 48.89% |
| xknxtn vs Armor King | 10–34 | 22.73% |
| xknxtn vs Azucena | 20–23 | 46.51% |
| xknxtn vs Leroy | 18–19 | 48.65% |
| xknxtn vs Jack-8 | 10–17 | 37.04% |
| xknxtn vs Shaheen | 8–16 | 33.33% |
| xknxtn vs Raven | 7–16 | 30.43% |
| xknxtn vs Claudio | 12–10 | 54.55% |
| xknxtn vs Fahkumram | 9–12 | 42.86% |
| xknxtn vs Zafina | 2–15 | 11.76% |
| xknxtn vs Anna | 6–11 | 35.29% |
| xknxtn vs Kuma | 6–9 | 40.00% |
| xknxtn vs Panda | 1–5 | 16.67% |
| xknxtn vs Miary Zo | 2–3 | 40.00% |
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.