| kneekings vs Kazuya | 15–11 | 57.69% |
| kneekings vs Dragunov | 15–11 | 57.69% |
| kneekings vs Hwoarang | 9–6 | 60.00% |
| kneekings vs Bryan | 6–8 | 42.86% |
| kneekings vs Heihachi | 4–9 | 30.77% |
| kneekings vs King | 1–10 | 9.09% |
| kneekings vs Jun | 7–4 | 63.64% |
| kneekings vs Fahkumram | 7–4 | 63.64% |
| kneekings vs Jin | 2–8 | 20.00% |
| kneekings vs Asuka | 7–3 | 70.00% |
| kneekings vs Lili | 4–6 | 40.00% |
| kneekings vs Azucena | 7–3 | 70.00% |
| kneekings vs Paul | 1–8 | 11.11% |
| kneekings vs Reina | 5–4 | 55.56% |
| kneekings vs Yoshimitsu | 2–6 | 25.00% |
| kneekings vs Xiaoyu | 3–5 | 37.50% |
| kneekings vs Law | 4–2 | 66.67% |
| kneekings vs Devil Jin | 3–3 | 50.00% |
| kneekings vs Lidia | 2–4 | 33.33% |
| kneekings vs Steve | 4–1 | 80.00% |
| kneekings vs Lars | 3–2 | 60.00% |
| kneekings vs Victor | 4–1 | 80.00% |
| kneekings vs Feng | 2–2 | 50.00% |
| kneekings vs Nina | 2–2 | 50.00% |
| kneekings vs Clive | 4–0 | 100.00% |
| kneekings vs Miary Zo | 4–0 | 100.00% |
| kneekings vs Leroy | 1–2 | 33.33% |
| kneekings vs Armor King | 0–3 | 0.00% |
| kneekings vs Jack-8 | 2–0 | 100.00% |
| kneekings vs Alisa | 0–2 | 0.00% |
| kneekings vs Claudio | 0–2 | 0.00% |
| kneekings vs Lee | 2–0 | 100.00% |
| kneekings vs Kuma | 2–0 | 100.00% |
| kneekings vs Eddy | 2–0 | 100.00% |
| kneekings vs Anna | 1–1 | 50.00% |
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.