| Cmiester vs King | 24–39 | 38.10% |
| Cmiester vs Kazuya | 27–33 | 45.00% |
| Cmiester vs Steve | 30–30 | 50.00% |
| Cmiester vs Reina | 20–30 | 40.00% |
| Cmiester vs Bryan | 17–24 | 41.46% |
| Cmiester vs Jin | 12–23 | 34.29% |
| Cmiester vs Dragunov | 9–25 | 26.47% |
| Cmiester vs Azucena | 14–16 | 46.67% |
| Cmiester vs Victor | 12–15 | 44.44% |
| Cmiester vs Clive | 12–15 | 44.44% |
| Cmiester vs Heihachi | 7–16 | 30.43% |
| Cmiester vs Asuka | 9–11 | 45.00% |
| Cmiester vs Lili | 8–12 | 40.00% |
| Cmiester vs Yoshimitsu | 5–14 | 26.32% |
| Cmiester vs Jack-8 | 10–8 | 55.56% |
| Cmiester vs Law | 7–10 | 41.18% |
| Cmiester vs Devil Jin | 9–8 | 52.94% |
| Cmiester vs Lee | 4–13 | 23.53% |
| Cmiester vs Jun | 4–13 | 23.53% |
| Cmiester vs Lidia | 8–9 | 47.06% |
| Cmiester vs Hwoarang | 10–6 | 62.50% |
| Cmiester vs Leo | 6–9 | 40.00% |
| Cmiester vs Alisa | 4–11 | 26.67% |
| Cmiester vs Raven | 6–9 | 40.00% |
| Cmiester vs Eddy | 4–11 | 26.67% |
| Cmiester vs Nina | 5–9 | 35.71% |
| Cmiester vs Kuma | 3–9 | 25.00% |
| Cmiester vs Leroy | 6–6 | 50.00% |
| Cmiester vs Xiaoyu | 6–5 | 54.55% |
| Cmiester vs Lars | 2–9 | 18.18% |
| Cmiester vs Zafina | 4–5 | 44.44% |
| Cmiester vs Paul | 0–8 | 0.00% |
| Cmiester vs Feng | 3–5 | 37.50% |
| Cmiester vs Claudio | 2–6 | 25.00% |
| Cmiester vs Shaheen | 3–3 | 50.00% |
| Cmiester vs Panda | 1–2 | 33.33% |
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.