| Chachx_mu vs Miary Zo | 29–37 | 43.94% |
| Chachx_mu vs Kazuya | 35–30 | 53.85% |
| Chachx_mu vs Dragunov | 27–38 | 41.54% |
| Chachx_mu vs Steve | 30–27 | 52.63% |
| Chachx_mu vs Reina | 29–28 | 50.88% |
| Chachx_mu vs Bryan | 27–21 | 56.25% |
| Chachx_mu vs Hwoarang | 21–25 | 45.65% |
| Chachx_mu vs King | 26–17 | 60.47% |
| Chachx_mu vs Fahkumram | 22–21 | 51.16% |
| Chachx_mu vs Asuka | 28–14 | 66.67% |
| Chachx_mu vs Jin | 17–23 | 42.50% |
| Chachx_mu vs Armor King | 18–21 | 46.15% |
| Chachx_mu vs Heihachi | 16–21 | 43.24% |
| Chachx_mu vs Paul | 17–17 | 50.00% |
| Chachx_mu vs Victor | 18–15 | 54.55% |
| Chachx_mu vs Lili | 19–13 | 59.38% |
| Chachx_mu vs Law | 13–13 | 50.00% |
| Chachx_mu vs Xiaoyu | 11–13 | 45.83% |
| Chachx_mu vs Devil Jin | 12–12 | 50.00% |
| Chachx_mu vs Leo | 12–11 | 52.17% |
| Chachx_mu vs Azucena | 12–11 | 52.17% |
| Chachx_mu vs Eddy | 10–11 | 47.62% |
| Chachx_mu vs Lidia | 8–12 | 40.00% |
| Chachx_mu vs Feng | 8–11 | 42.11% |
| Chachx_mu vs Jack-8 | 6–11 | 35.29% |
| Chachx_mu vs Claudio | 8–9 | 47.06% |
| Chachx_mu vs Jun | 8–9 | 47.06% |
| Chachx_mu vs Raven | 4–13 | 23.53% |
| Chachx_mu vs Lee | 11–5 | 68.75% |
| Chachx_mu vs Anna | 7–9 | 43.75% |
| Chachx_mu vs Lars | 6–7 | 46.15% |
| Chachx_mu vs Nina | 1–12 | 7.69% |
| Chachx_mu vs Zafina | 10–2 | 83.33% |
| Chachx_mu vs Leroy | 6–6 | 50.00% |
| Chachx_mu vs Clive | 6–3 | 66.67% |
| Chachx_mu vs Kuma | 2–6 | 25.00% |
| Chachx_mu vs Yoshimitsu | 4–3 | 57.14% |
| Chachx_mu vs Alisa | 3–3 | 50.00% |
| Chachx_mu vs Shaheen | 1–4 | 20.00% |
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.