| klasica7 vs King | 85–81 | 51.20% |
| klasica7 vs Jin | 87–78 | 52.73% |
| klasica7 vs Kazuya | 70–46 | 60.34% |
| klasica7 vs Law | 60–42 | 58.82% |
| klasica7 vs Reina | 44–41 | 51.76% |
| klasica7 vs Hwoarang | 42–37 | 53.16% |
| klasica7 vs Eddy | 37–42 | 46.84% |
| klasica7 vs Lili | 46–32 | 58.97% |
| klasica7 vs Bryan | 49–27 | 64.47% |
| klasica7 vs Paul | 33–38 | 46.48% |
| klasica7 vs Xiaoyu | 39–32 | 54.93% |
| klasica7 vs Alisa | 37–28 | 56.92% |
| klasica7 vs Steve | 34–30 | 53.12% |
| klasica7 vs Heihachi | 32–29 | 52.46% |
| klasica7 vs Asuka | 33–24 | 57.89% |
| klasica7 vs Azucena | 37–20 | 64.91% |
| klasica7 vs Yoshimitsu | 36–20 | 64.29% |
| klasica7 vs Lidia | 31–21 | 59.62% |
| klasica7 vs Victor | 28–22 | 56.00% |
| klasica7 vs Dragunov | 28–21 | 57.14% |
| klasica7 vs Nina | 17–30 | 36.17% |
| klasica7 vs Leroy | 24–14 | 63.16% |
| klasica7 vs Feng | 12–25 | 32.43% |
| klasica7 vs Lee | 16–21 | 43.24% |
| klasica7 vs Jun | 14–23 | 37.84% |
| klasica7 vs Devil Jin | 18–17 | 51.43% |
| klasica7 vs Clive | 11–20 | 35.48% |
| klasica7 vs Leo | 15–13 | 53.57% |
| klasica7 vs Jack-8 | 7–19 | 26.92% |
| klasica7 vs Claudio | 6–18 | 25.00% |
| klasica7 vs Lars | 9–13 | 40.91% |
| klasica7 vs Zafina | 9–10 | 47.37% |
| klasica7 vs Kuma | 7–6 | 53.85% |
| klasica7 vs Anna | 8–5 | 61.54% |
| klasica7 vs Shaheen | 4–6 | 40.00% |
| klasica7 vs Raven | 5–5 | 50.00% |
| klasica7 vs Fahkumram | 8–0 | 100.00% |
| klasica7 vs Panda | 2–2 | 50.00% |
| klasica7 vs Armor King | 3–1 | 75.00% |
| klasica7 vs Miary Zo | 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.