| Mentor07825 vs Steve | 3–4 | 42.86% |
| Mentor07825 vs King | 4–2 | 66.67% |
| Mentor07825 vs Reina | 2–3 | 40.00% |
| Mentor07825 vs Claudio | 2–2 | 50.00% |
| Mentor07825 vs Azucena | 3–1 | 75.00% |
| Mentor07825 vs Bryan | 0–4 | 0.00% |
| Mentor07825 vs Jin | 0–3 | 0.00% |
| Mentor07825 vs Lili | 1–2 | 33.33% |
| Mentor07825 vs Panda | 2–1 | 66.67% |
| Mentor07825 vs Jun | 2–1 | 66.67% |
| Mentor07825 vs Lee | 1–2 | 33.33% |
| Mentor07825 vs Victor | 2–1 | 66.67% |
| Mentor07825 vs Law | 1–1 | 50.00% |
| Mentor07825 vs Yoshimitsu | 1–1 | 50.00% |
| Mentor07825 vs Xiaoyu | 2–0 | 100.00% |
| Mentor07825 vs Leo | 2–0 | 100.00% |
| Mentor07825 vs Lars | 2–0 | 100.00% |
| Mentor07825 vs Shaheen | 1–0 | 100.00% |
| Mentor07825 vs Zafina | 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.