| learning vs Paul | 11–0 | 100.00% |
| learning vs Bryan | 7–0 | 100.00% |
| learning vs Kazuya | 6–1 | 85.71% |
| learning vs Law | 6–0 | 100.00% |
| learning vs Jin | 6–0 | 100.00% |
| learning vs Jun | 6–0 | 100.00% |
| learning vs Clive | 6–0 | 100.00% |
| learning vs Lili | 3–2 | 60.00% |
| learning vs King | 3–0 | 100.00% |
| learning vs Nina | 3–0 | 100.00% |
| learning vs Azucena | 3–0 | 100.00% |
| learning vs Yoshimitsu | 2–0 | 100.00% |
| learning vs Steve | 2–0 | 100.00% |
| learning vs Dragunov | 2–0 | 100.00% |
| learning vs Shaheen | 2–0 | 100.00% |
| learning vs Lee | 2–0 | 100.00% |
| learning vs Victor | 2–0 | 100.00% |
| learning vs Eddy | 2–0 | 100.00% |
| learning vs Devil Jin | 1–0 | 100.00% |
| learning vs Claudio | 1–0 | 100.00% |
| learning vs Kuma | 1–0 | 100.00% |
| learning vs Reina | 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.