| Afro_senseiM vs Jin | 7–2 | 77.78% |
| Afro_senseiM vs Steve | 3–6 | 33.33% |
| Afro_senseiM vs Jun | 1–7 | 12.50% |
| Afro_senseiM vs Law | 3–4 | 42.86% |
| Afro_senseiM vs King | 1–6 | 14.29% |
| Afro_senseiM vs Lidia | 4–3 | 57.14% |
| Afro_senseiM vs Lili | 2–4 | 33.33% |
| Afro_senseiM vs Yoshimitsu | 2–3 | 40.00% |
| Afro_senseiM vs Nina | 5–0 | 100.00% |
| Afro_senseiM vs Reina | 3–2 | 60.00% |
| Afro_senseiM vs Victor | 4–1 | 80.00% |
| Afro_senseiM vs Hwoarang | 1–3 | 25.00% |
| Afro_senseiM vs Bryan | 1–3 | 25.00% |
| Afro_senseiM vs Paul | 1–2 | 33.33% |
| Afro_senseiM vs Xiaoyu | 3–0 | 100.00% |
| Afro_senseiM vs Kazuya | 2–1 | 66.67% |
| Afro_senseiM vs Jack-8 | 2–1 | 66.67% |
| Afro_senseiM vs Devil Jin | 2–1 | 66.67% |
| Afro_senseiM vs Lars | 1–2 | 33.33% |
| Afro_senseiM vs Zafina | 2–1 | 66.67% |
| Afro_senseiM vs Alisa | 1–1 | 50.00% |
| Afro_senseiM vs Azucena | 2–0 | 100.00% |
| Afro_senseiM vs Raven | 2–0 | 100.00% |
| Afro_senseiM vs Asuka | 0–1 | 0.00% |
| Afro_senseiM vs Feng | 0–1 | 0.00% |
| Afro_senseiM vs Dragunov | 1–0 | 100.00% |
| Afro_senseiM vs Leo | 1–0 | 100.00% |
| Afro_senseiM vs Claudio | 0–1 | 0.00% |
| Afro_senseiM vs Lee | 1–0 | 100.00% |
| Afro_senseiM vs Leroy | 1–0 | 100.00% |
| Afro_senseiM vs Eddy | 1–0 | 100.00% |
| Afro_senseiM vs Clive | 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.