| Mr_Klasik vs King | 38–28 | 57.58% |
| Mr_Klasik vs Kazuya | 36–28 | 56.25% |
| Mr_Klasik vs Bryan | 32–13 | 71.11% |
| Mr_Klasik vs Dragunov | 24–16 | 60.00% |
| Mr_Klasik vs Jin | 23–16 | 58.97% |
| Mr_Klasik vs Paul | 25–13 | 65.79% |
| Mr_Klasik vs Law | 18–18 | 50.00% |
| Mr_Klasik vs Hwoarang | 16–19 | 45.71% |
| Mr_Klasik vs Eddy | 18–13 | 58.06% |
| Mr_Klasik vs Reina | 22–8 | 73.33% |
| Mr_Klasik vs Leroy | 19–8 | 70.37% |
| Mr_Klasik vs Devil Jin | 12–14 | 46.15% |
| Mr_Klasik vs Xiaoyu | 17–7 | 70.83% |
| Mr_Klasik vs Feng | 12–12 | 50.00% |
| Mr_Klasik vs Lee | 15–8 | 65.22% |
| Mr_Klasik vs Lars | 12–8 | 60.00% |
| Mr_Klasik vs Shaheen | 12–7 | 63.16% |
| Mr_Klasik vs Yoshimitsu | 13–5 | 72.22% |
| Mr_Klasik vs Steve | 11–6 | 64.71% |
| Mr_Klasik vs Lili | 11–5 | 68.75% |
| Mr_Klasik vs Nina | 5–9 | 35.71% |
| Mr_Klasik vs Kuma | 5–9 | 35.71% |
| Mr_Klasik vs Jack-8 | 7–3 | 70.00% |
| Mr_Klasik vs Leo | 5–4 | 55.56% |
| Mr_Klasik vs Victor | 3–5 | 37.50% |
| Mr_Klasik vs Jun | 4–3 | 57.14% |
| Mr_Klasik vs Azucena | 5–2 | 71.43% |
| Mr_Klasik vs Asuka | 4–1 | 80.00% |
| Mr_Klasik vs Alisa | 4–0 | 100.00% |
| Mr_Klasik vs Raven | 4–0 | 100.00% |
| Mr_Klasik vs Lidia | 2–2 | 50.00% |
| Mr_Klasik vs Claudio | 1–2 | 33.33% |
| Mr_Klasik vs Zafina | 2–1 | 66.67% |
| Mr_Klasik vs Heihachi | 2–1 | 66.67% |
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.