| 200msENJOYER vs Jin | 8–5 | 61.54% |
| 200msENJOYER vs Steve | 6–2 | 75.00% |
| 200msENJOYER vs Lili | 3–3 | 50.00% |
| 200msENJOYER vs Dragunov | 4–0 | 100.00% |
| 200msENJOYER vs King | 2–1 | 66.67% |
| 200msENJOYER vs Victor | 2–1 | 66.67% |
| 200msENJOYER vs Paul | 2–0 | 100.00% |
| 200msENJOYER vs Xiaoyu | 2–0 | 100.00% |
| 200msENJOYER vs Shaheen | 0–2 | 0.00% |
| 200msENJOYER vs Kuma | 1–0 | 100.00% |
| 200msENJOYER vs Panda | 1–0 | 100.00% |
| 200msENJOYER vs Clive | 1–0 | 100.00% |
| 200msENJOYER vs Miary Zo | 0–1 | 0.00% |
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.