| Tk-KiaN vs Jin | 61–23 | 72.62% |
| Tk-KiaN vs Bryan | 29–28 | 50.88% |
| Tk-KiaN vs Kazuya | 36–21 | 63.16% |
| Tk-KiaN vs Law | 21–34 | 38.18% |
| Tk-KiaN vs King | 19–35 | 35.19% |
| Tk-KiaN vs Lars | 24–27 | 47.06% |
| Tk-KiaN vs Reina | 28–22 | 56.00% |
| Tk-KiaN vs Hwoarang | 22–27 | 44.90% |
| Tk-KiaN vs Lili | 29–18 | 61.70% |
| Tk-KiaN vs Dragunov | 22–23 | 48.89% |
| Tk-KiaN vs Fahkumram | 14–26 | 35.00% |
| Tk-KiaN vs Steve | 28–11 | 71.79% |
| Tk-KiaN vs Asuka | 16–16 | 50.00% |
| Tk-KiaN vs Armor King | 11–21 | 34.38% |
| Tk-KiaN vs Lee | 17–12 | 58.62% |
| Tk-KiaN vs Nina | 19–8 | 70.37% |
| Tk-KiaN vs Anna | 10–16 | 38.46% |
| Tk-KiaN vs Yoshimitsu | 16–9 | 64.00% |
| Tk-KiaN vs Victor | 15–10 | 60.00% |
| Tk-KiaN vs Xiaoyu | 15–7 | 68.18% |
| Tk-KiaN vs Clive | 12–10 | 54.55% |
| Tk-KiaN vs Jun | 8–13 | 38.10% |
| Tk-KiaN vs Feng | 10–10 | 50.00% |
| Tk-KiaN vs Heihachi | 11–9 | 55.00% |
| Tk-KiaN vs Shaheen | 8–9 | 47.06% |
| Tk-KiaN vs Azucena | 10–7 | 58.82% |
| Tk-KiaN vs Eddy | 11–6 | 64.71% |
| Tk-KiaN vs Paul | 6–8 | 42.86% |
| Tk-KiaN vs Devil Jin | 5–9 | 35.71% |
| Tk-KiaN vs Raven | 5–9 | 35.71% |
| Tk-KiaN vs Claudio | 6–6 | 50.00% |
| Tk-KiaN vs Leroy | 8–4 | 66.67% |
| Tk-KiaN vs Leo | 6–5 | 54.55% |
| Tk-KiaN vs Lidia | 5–6 | 45.45% |
| Tk-KiaN vs Zafina | 2–8 | 20.00% |
| Tk-KiaN vs Alisa | 4–5 | 44.44% |
| Tk-KiaN vs Jack-8 | 4–4 | 50.00% |
| Tk-KiaN vs Kuma | 2–1 | 66.67% |
| Tk-KiaN vs Miary Zo | 0–3 | 0.00% |
| Tk-KiaN vs Panda | 0–2 | 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.