| etk-online vs Bryan | 35–31 | 53.03% |
| etk-online vs Dragunov | 34–15 | 69.39% |
| etk-online vs Lidia | 31–10 | 75.61% |
| etk-online vs Lili | 33–7 | 82.50% |
| etk-online vs Jin | 23–16 | 58.97% |
| etk-online vs Paul | 30–8 | 78.95% |
| etk-online vs Reina | 25–12 | 67.57% |
| etk-online vs Kazuya | 26–10 | 72.22% |
| etk-online vs Steve | 20–14 | 58.82% |
| etk-online vs Law | 27–6 | 81.82% |
| etk-online vs Lars | 20–12 | 62.50% |
| etk-online vs King | 21–9 | 70.00% |
| etk-online vs Asuka | 16–12 | 57.14% |
| etk-online vs Hwoarang | 22–5 | 81.48% |
| etk-online vs Eddy | 16–8 | 66.67% |
| etk-online vs Alisa | 10–12 | 45.45% |
| etk-online vs Nina | 11–11 | 50.00% |
| etk-online vs Xiaoyu | 16–3 | 84.21% |
| etk-online vs Lee | 11–6 | 64.71% |
| etk-online vs Azucena | 9–6 | 60.00% |
| etk-online vs Yoshimitsu | 11–3 | 78.57% |
| etk-online vs Claudio | 8–6 | 57.14% |
| etk-online vs Victor | 9–5 | 64.29% |
| etk-online vs Feng | 8–5 | 61.54% |
| etk-online vs Devil Jin | 7–5 | 58.33% |
| etk-online vs Leo | 6–6 | 50.00% |
| etk-online vs Jack-8 | 9–2 | 81.82% |
| etk-online vs Anna | 7–4 | 63.64% |
| etk-online vs Kuma | 5–5 | 50.00% |
| etk-online vs Zafina | 7–3 | 70.00% |
| etk-online vs Jun | 7–3 | 70.00% |
| etk-online vs Shaheen | 6–3 | 66.67% |
| etk-online vs Leroy | 4–4 | 50.00% |
| etk-online vs Heihachi | 4–4 | 50.00% |
| etk-online vs Clive | 3–5 | 37.50% |
| etk-online vs Panda | 2–5 | 28.57% |
| etk-online vs Raven | 2–5 | 28.57% |
| etk-online vs Fahkumram | 3–2 | 60.00% |
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.