| MofP vs Kazuya | 94–75 | 55.62% |
| MofP vs Reina | 65–70 | 48.15% |
| MofP vs Paul | 54–73 | 42.52% |
| MofP vs King | 63–54 | 53.85% |
| MofP vs Hwoarang | 44–63 | 41.12% |
| MofP vs Jin | 49–53 | 48.04% |
| MofP vs Bryan | 40–61 | 39.60% |
| MofP vs Dragunov | 44–49 | 47.31% |
| MofP vs Asuka | 44–40 | 52.38% |
| MofP vs Clive | 41–34 | 54.67% |
| MofP vs Lili | 34–30 | 53.12% |
| MofP vs Steve | 33–30 | 52.38% |
| MofP vs Jun | 28–29 | 49.12% |
| MofP vs Yoshimitsu | 25–30 | 45.45% |
| MofP vs Heihachi | 24–31 | 43.64% |
| MofP vs Victor | 25–24 | 51.02% |
| MofP vs Law | 23–24 | 48.94% |
| MofP vs Lidia | 20–26 | 43.48% |
| MofP vs Jack-8 | 22–22 | 50.00% |
| MofP vs Leo | 15–26 | 36.59% |
| MofP vs Xiaoyu | 20–20 | 50.00% |
| MofP vs Anna | 23–16 | 58.97% |
| MofP vs Devil Jin | 20–18 | 52.63% |
| MofP vs Leroy | 18–20 | 47.37% |
| MofP vs Lars | 16–21 | 43.24% |
| MofP vs Azucena | 14–23 | 37.84% |
| MofP vs Feng | 15–20 | 42.86% |
| MofP vs Claudio | 7–27 | 20.59% |
| MofP vs Nina | 14–15 | 48.28% |
| MofP vs Zafina | 8–17 | 32.00% |
| MofP vs Lee | 8–15 | 34.78% |
| MofP vs Alisa | 5–15 | 25.00% |
| MofP vs Eddy | 9–11 | 45.00% |
| MofP vs Kuma | 7–9 | 43.75% |
| MofP vs Raven | 5–9 | 35.71% |
| MofP vs Shaheen | 8–5 | 61.54% |
| MofP vs Fahkumram | 2–6 | 25.00% |
| MofP vs Panda | 1–3 | 25.00% |
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.