| Ciao You vs King | 14–0 | 100.00% |
| Ciao You vs Lili | 12–1 | 92.31% |
| Ciao You vs Jin | 10–2 | 83.33% |
| Ciao You vs Azucena | 9–1 | 90.00% |
| Ciao You vs Eddy | 7–1 | 87.50% |
| Ciao You vs Bryan | 7–0 | 100.00% |
| Ciao You vs Kazuya | 7–0 | 100.00% |
| Ciao You vs Dragunov | 7–0 | 100.00% |
| Ciao You vs Reina | 5–2 | 71.43% |
| Ciao You vs Yoshimitsu | 4–2 | 66.67% |
| Ciao You vs Raven | 5–1 | 83.33% |
| Ciao You vs Jack-8 | 2–3 | 40.00% |
| Ciao You vs Heihachi | 4–1 | 80.00% |
| Ciao You vs Anna | 5–0 | 100.00% |
| Ciao You vs Paul | 4–0 | 100.00% |
| Ciao You vs Xiaoyu | 4–0 | 100.00% |
| Ciao You vs Nina | 3–1 | 75.00% |
| Ciao You vs Lee | 4–0 | 100.00% |
| Ciao You vs Hwoarang | 3–0 | 100.00% |
| Ciao You vs Steve | 3–0 | 100.00% |
| Ciao You vs Asuka | 3–0 | 100.00% |
| Ciao You vs Devil Jin | 3–0 | 100.00% |
| Ciao You vs Claudio | 2–1 | 66.67% |
| Ciao You vs Kuma | 3–0 | 100.00% |
| Ciao You vs Zafina | 3–0 | 100.00% |
| Ciao You vs Lidia | 3–0 | 100.00% |
| Ciao You vs Armor King | 2–1 | 66.67% |
| Ciao You vs Law | 2–0 | 100.00% |
| Ciao You vs Feng | 2–0 | 100.00% |
| Ciao You vs Lars | 2–0 | 100.00% |
| Ciao You vs Alisa | 2–0 | 100.00% |
| Ciao You vs Leroy | 2–0 | 100.00% |
| Ciao You vs Jun | 2–0 | 100.00% |
| Ciao You vs Leo | 1–0 | 100.00% |
| Ciao You vs Panda | 1–0 | 100.00% |
| Ciao You vs Victor | 1–0 | 100.00% |
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.