| cham vs Steve | 42–15 | 73.68% |
| cham vs Clive | 20–28 | 41.67% |
| cham vs Kazuya | 16–25 | 39.02% |
| cham vs Reina | 19–21 | 47.50% |
| cham vs King | 13–23 | 36.11% |
| cham vs Hwoarang | 16–15 | 51.61% |
| cham vs Jin | 13–16 | 44.83% |
| cham vs Dragunov | 10–19 | 34.48% |
| cham vs Bryan | 8–17 | 32.00% |
| cham vs Asuka | 10–15 | 40.00% |
| cham vs Lidia | 8–17 | 32.00% |
| cham vs Lili | 18–6 | 75.00% |
| cham vs Law | 12–10 | 54.55% |
| cham vs Leo | 7–15 | 31.82% |
| cham vs Lee | 9–12 | 42.86% |
| cham vs Azucena | 8–12 | 40.00% |
| cham vs Heihachi | 9–11 | 45.00% |
| cham vs Lars | 7–12 | 36.84% |
| cham vs Devil Jin | 8–6 | 57.14% |
| cham vs Nina | 6–6 | 50.00% |
| cham vs Zafina | 5–7 | 41.67% |
| cham vs Eddy | 4–8 | 33.33% |
| cham vs Yoshimitsu | 3–8 | 27.27% |
| cham vs Leroy | 7–3 | 70.00% |
| cham vs Victor | 6–4 | 60.00% |
| cham vs Paul | 3–6 | 33.33% |
| cham vs Feng | 5–4 | 55.56% |
| cham vs Alisa | 2–6 | 25.00% |
| cham vs Armor King | 4–4 | 50.00% |
| cham vs Shaheen | 1–6 | 14.29% |
| cham vs Jun | 2–5 | 28.57% |
| cham vs Fahkumram | 3–4 | 42.86% |
| cham vs Jack-8 | 3–3 | 50.00% |
| cham vs Claudio | 1–4 | 20.00% |
| cham vs Kuma | 2–3 | 40.00% |
| cham vs Xiaoyu | 2–1 | 66.67% |
| cham vs Anna | 2–0 | 100.00% |
| cham vs Panda | 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.