| x_M3h-m3t_x vs Kazuya | 12–12 | 50.00% |
| x_M3h-m3t_x vs Law | 9–1 | 90.00% |
| x_M3h-m3t_x vs King | 6–4 | 60.00% |
| x_M3h-m3t_x vs Lili | 9–1 | 90.00% |
| x_M3h-m3t_x vs Bryan | 8–0 | 100.00% |
| x_M3h-m3t_x vs Asuka | 7–1 | 87.50% |
| x_M3h-m3t_x vs Eddy | 2–6 | 25.00% |
| x_M3h-m3t_x vs Jin | 4–3 | 57.14% |
| x_M3h-m3t_x vs Steve | 4–2 | 66.67% |
| x_M3h-m3t_x vs Feng | 4–2 | 66.67% |
| x_M3h-m3t_x vs Lee | 4–2 | 66.67% |
| x_M3h-m3t_x vs Victor | 4–2 | 66.67% |
| x_M3h-m3t_x vs Yoshimitsu | 4–1 | 80.00% |
| x_M3h-m3t_x vs Hwoarang | 4–1 | 80.00% |
| x_M3h-m3t_x vs Claudio | 2–3 | 40.00% |
| x_M3h-m3t_x vs Paul | 3–1 | 75.00% |
| x_M3h-m3t_x vs Alisa | 3–1 | 75.00% |
| x_M3h-m3t_x vs Jun | 3–1 | 75.00% |
| x_M3h-m3t_x vs Azucena | 4–0 | 100.00% |
| x_M3h-m3t_x vs Clive | 1–3 | 25.00% |
| x_M3h-m3t_x vs Devil Jin | 3–0 | 100.00% |
| x_M3h-m3t_x vs Dragunov | 3–0 | 100.00% |
| x_M3h-m3t_x vs Leo | 1–2 | 33.33% |
| x_M3h-m3t_x vs Lars | 2–1 | 66.67% |
| x_M3h-m3t_x vs Xiaoyu | 2–0 | 100.00% |
| x_M3h-m3t_x vs Jack-8 | 2–0 | 100.00% |
| x_M3h-m3t_x vs Kuma | 1–1 | 50.00% |
| x_M3h-m3t_x vs Zafina | 0–2 | 0.00% |
| x_M3h-m3t_x vs Reina | 1–1 | 50.00% |
| x_M3h-m3t_x vs Nina | 0–1 | 0.00% |
| x_M3h-m3t_x vs Heihachi | 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.