| m@0u29SN vs Claudio | 13–8 | 61.90% |
| m@0u29SN vs King | 17–3 | 85.00% |
| m@0u29SN vs Lili | 15–5 | 75.00% |
| m@0u29SN vs Paul | 11–7 | 61.11% |
| m@0u29SN vs Bryan | 10–7 | 58.82% |
| m@0u29SN vs Kazuya | 9–8 | 52.94% |
| m@0u29SN vs Reina | 12–4 | 75.00% |
| m@0u29SN vs Nina | 9–4 | 69.23% |
| m@0u29SN vs Leroy | 9–4 | 69.23% |
| m@0u29SN vs Steve | 7–5 | 58.33% |
| m@0u29SN vs Dragunov | 8–4 | 66.67% |
| m@0u29SN vs Jin | 4–6 | 40.00% |
| m@0u29SN vs Jun | 4–6 | 40.00% |
| m@0u29SN vs Lidia | 6–4 | 60.00% |
| m@0u29SN vs Lars | 6–3 | 66.67% |
| m@0u29SN vs Alisa | 7–2 | 77.78% |
| m@0u29SN vs Hwoarang | 5–3 | 62.50% |
| m@0u29SN vs Azucena | 4–4 | 50.00% |
| m@0u29SN vs Victor | 6–2 | 75.00% |
| m@0u29SN vs Anna | 5–3 | 62.50% |
| m@0u29SN vs Yoshimitsu | 6–1 | 85.71% |
| m@0u29SN vs Jack-8 | 4–3 | 57.14% |
| m@0u29SN vs Lee | 6–1 | 85.71% |
| m@0u29SN vs Xiaoyu | 5–1 | 83.33% |
| m@0u29SN vs Devil Jin | 5–0 | 100.00% |
| m@0u29SN vs Eddy | 2–3 | 40.00% |
| m@0u29SN vs Clive | 1–4 | 20.00% |
| m@0u29SN vs Law | 4–0 | 100.00% |
| m@0u29SN vs Leo | 2–2 | 50.00% |
| m@0u29SN vs Heihachi | 3–1 | 75.00% |
| m@0u29SN vs Asuka | 1–2 | 33.33% |
| m@0u29SN vs Shaheen | 1–2 | 33.33% |
| m@0u29SN vs Feng | 2–0 | 100.00% |
| m@0u29SN vs Panda | 2–0 | 100.00% |
| m@0u29SN vs Zafina | 1–1 | 50.00% |
| m@0u29SN vs Fahkumram | 1–1 | 50.00% |
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.