| Chang Li vs King | 37–1 | 97.37% |
| Chang Li vs Reina | 27–4 | 87.10% |
| Chang Li vs Lidia | 28–1 | 96.55% |
| Chang Li vs Law | 20–2 | 90.91% |
| Chang Li vs Steve | 20–1 | 95.24% |
| Chang Li vs Azucena | 18–2 | 90.00% |
| Chang Li vs Hwoarang | 18–0 | 100.00% |
| Chang Li vs Kazuya | 16–2 | 88.89% |
| Chang Li vs Jin | 17–0 | 100.00% |
| Chang Li vs Eddy | 16–1 | 94.12% |
| Chang Li vs Asuka | 15–1 | 93.75% |
| Chang Li vs Dragunov | 12–0 | 100.00% |
| Chang Li vs Alisa | 12–0 | 100.00% |
| Chang Li vs Jun | 10–2 | 83.33% |
| Chang Li vs Bryan | 10–1 | 90.91% |
| Chang Li vs Lars | 9–2 | 81.82% |
| Chang Li vs Nina | 9–2 | 81.82% |
| Chang Li vs Yoshimitsu | 10–0 | 100.00% |
| Chang Li vs Xiaoyu | 10–0 | 100.00% |
| Chang Li vs Kuma | 9–1 | 90.00% |
| Chang Li vs Lili | 8–0 | 100.00% |
| Chang Li vs Paul | 7–0 | 100.00% |
| Chang Li vs Jack-8 | 7–0 | 100.00% |
| Chang Li vs Lee | 5–2 | 71.43% |
| Chang Li vs Raven | 7–0 | 100.00% |
| Chang Li vs Leroy | 6–0 | 100.00% |
| Chang Li vs Victor | 6–0 | 100.00% |
| Chang Li vs Feng | 5–0 | 100.00% |
| Chang Li vs Claudio | 4–1 | 80.00% |
| Chang Li vs Devil Jin | 3–1 | 75.00% |
| Chang Li vs Leo | 4–0 | 100.00% |
| Chang Li vs Shaheen | 4–0 | 100.00% |
| Chang Li vs Panda | 4–0 | 100.00% |
| Chang Li vs Zafina | 3–0 | 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.