| _MaPo vs Dragunov | 30–21 | 58.82% |
| _MaPo vs Jin | 27–16 | 62.79% |
| _MaPo vs King | 24–11 | 68.57% |
| _MaPo vs Bryan | 19–16 | 54.29% |
| _MaPo vs Kazuya | 25–9 | 73.53% |
| _MaPo vs Claudio | 17–14 | 54.84% |
| _MaPo vs Reina | 14–16 | 46.67% |
| _MaPo vs Victor | 17–13 | 56.67% |
| _MaPo vs Paul | 16–13 | 55.17% |
| _MaPo vs Asuka | 19–8 | 70.37% |
| _MaPo vs Heihachi | 15–10 | 60.00% |
| _MaPo vs Hwoarang | 15–9 | 62.50% |
| _MaPo vs Steve | 17–7 | 70.83% |
| _MaPo vs Eddy | 6–16 | 27.27% |
| _MaPo vs Jun | 13–8 | 61.90% |
| _MaPo vs Azucena | 11–10 | 52.38% |
| _MaPo vs Lili | 9–11 | 45.00% |
| _MaPo vs Lars | 12–7 | 63.16% |
| _MaPo vs Alisa | 11–8 | 57.89% |
| _MaPo vs Law | 8–10 | 44.44% |
| _MaPo vs Yoshimitsu | 9–8 | 52.94% |
| _MaPo vs Feng | 8–8 | 50.00% |
| _MaPo vs Devil Jin | 10–5 | 66.67% |
| _MaPo vs Jack-8 | 8–6 | 57.14% |
| _MaPo vs Xiaoyu | 5–8 | 38.46% |
| _MaPo vs Leroy | 3–8 | 27.27% |
| _MaPo vs Clive | 8–3 | 72.73% |
| _MaPo vs Nina | 7–3 | 70.00% |
| _MaPo vs Zafina | 5–5 | 50.00% |
| _MaPo vs Lidia | 4–5 | 44.44% |
| _MaPo vs Leo | 6–2 | 75.00% |
| _MaPo vs Shaheen | 2–6 | 25.00% |
| _MaPo vs Lee | 4–4 | 50.00% |
| _MaPo vs Fahkumram | 4–3 | 57.14% |
| _MaPo vs Kuma | 5–1 | 83.33% |
| _MaPo vs Anna | 2–2 | 50.00% |
| _MaPo vs Raven | 2–1 | 66.67% |
| _MaPo vs Panda | 0–2 | 0.00% |
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.