| cliche vs Kazuya | 27–42 | 39.13% |
| cliche vs Dragunov | 26–26 | 50.00% |
| cliche vs Steve | 18–31 | 36.73% |
| cliche vs Bryan | 21–24 | 46.67% |
| cliche vs Jin | 17–22 | 43.59% |
| cliche vs Paul | 19–17 | 52.78% |
| cliche vs Law | 12–16 | 42.86% |
| cliche vs Hwoarang | 8–19 | 29.63% |
| cliche vs Reina | 5–22 | 18.52% |
| cliche vs Yoshimitsu | 13–13 | 50.00% |
| cliche vs King | 7–17 | 29.17% |
| cliche vs Leo | 7–14 | 33.33% |
| cliche vs Anna | 6–15 | 28.57% |
| cliche vs Devil Jin | 11–9 | 55.00% |
| cliche vs Victor | 11–9 | 55.00% |
| cliche vs Claudio | 4–14 | 22.22% |
| cliche vs Lee | 4–13 | 23.53% |
| cliche vs Azucena | 10–7 | 58.82% |
| cliche vs Asuka | 8–7 | 53.33% |
| cliche vs Lili | 4–10 | 28.57% |
| cliche vs Nina | 9–5 | 64.29% |
| cliche vs Heihachi | 3–11 | 21.43% |
| cliche vs Fahkumram | 7–7 | 50.00% |
| cliche vs Lars | 4–9 | 30.77% |
| cliche vs Alisa | 10–2 | 83.33% |
| cliche vs Xiaoyu | 4–6 | 40.00% |
| cliche vs Feng | 3–7 | 30.00% |
| cliche vs Jun | 1–9 | 10.00% |
| cliche vs Clive | 4–5 | 44.44% |
| cliche vs Leroy | 2–5 | 28.57% |
| cliche vs Raven | 2–5 | 28.57% |
| cliche vs Shaheen | 3–2 | 60.00% |
| cliche vs Lidia | 2–2 | 50.00% |
| cliche vs Jack-8 | 1–2 | 33.33% |
| cliche vs Zafina | 1–2 | 33.33% |
| cliche vs Eddy | 2–0 | 100.00% |
| cliche vs Kuma | 0–1 | 0.00% |
| cliche vs Panda | 0–1 | 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.