| C-B-Jim vs Kazuya | 16–33 | 32.65% |
| C-B-Jim vs Reina | 27–20 | 57.45% |
| C-B-Jim vs Asuka | 16–23 | 41.03% |
| C-B-Jim vs King | 14–23 | 37.84% |
| C-B-Jim vs Dragunov | 10–26 | 27.78% |
| C-B-Jim vs Paul | 11–23 | 32.35% |
| C-B-Jim vs Lili | 16–18 | 47.06% |
| C-B-Jim vs Jun | 17–14 | 54.84% |
| C-B-Jim vs Jin | 14–14 | 50.00% |
| C-B-Jim vs Devil Jin | 9–15 | 37.50% |
| C-B-Jim vs Yoshimitsu | 9–13 | 40.91% |
| C-B-Jim vs Victor | 7–15 | 31.82% |
| C-B-Jim vs Lidia | 12–10 | 54.55% |
| C-B-Jim vs Heihachi | 9–13 | 40.91% |
| C-B-Jim vs Steve | 5–13 | 27.78% |
| C-B-Jim vs Alisa | 5–11 | 31.25% |
| C-B-Jim vs Leo | 5–10 | 33.33% |
| C-B-Jim vs Hwoarang | 6–6 | 50.00% |
| C-B-Jim vs Feng | 3–9 | 25.00% |
| C-B-Jim vs Nina | 2–10 | 16.67% |
| C-B-Jim vs Bryan | 3–8 | 27.27% |
| C-B-Jim vs Azucena | 2–8 | 20.00% |
| C-B-Jim vs Law | 3–6 | 33.33% |
| C-B-Jim vs Leroy | 2–7 | 22.22% |
| C-B-Jim vs Xiaoyu | 4–4 | 50.00% |
| C-B-Jim vs Jack-8 | 4–4 | 50.00% |
| C-B-Jim vs Claudio | 3–5 | 37.50% |
| C-B-Jim vs Eddy | 2–6 | 25.00% |
| C-B-Jim vs Lars | 4–3 | 57.14% |
| C-B-Jim vs Lee | 1–4 | 20.00% |
| C-B-Jim vs Zafina | 2–2 | 50.00% |
| C-B-Jim vs Panda | 1–2 | 33.33% |
| C-B-Jim vs Shaheen | 2–0 | 100.00% |
| C-B-Jim vs Kuma | 0–1 | 0.00% |
| C-B-Jim vs Raven | 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.