| MDoubleU vs Reina | 95–58 | 62.09% |
| MDoubleU vs Jin | 79–72 | 52.32% |
| MDoubleU vs Kazuya | 72–53 | 57.60% |
| MDoubleU vs King | 54–62 | 46.55% |
| MDoubleU vs Bryan | 53–52 | 50.48% |
| MDoubleU vs Law | 54–48 | 52.94% |
| MDoubleU vs Yoshimitsu | 47–52 | 47.47% |
| MDoubleU vs Steve | 38–52 | 42.22% |
| MDoubleU vs Lidia | 46–39 | 54.12% |
| MDoubleU vs Hwoarang | 45–35 | 56.25% |
| MDoubleU vs Lili | 40–39 | 50.63% |
| MDoubleU vs Dragunov | 39–32 | 54.93% |
| MDoubleU vs Azucena | 37–32 | 53.62% |
| MDoubleU vs Xiaoyu | 23–44 | 34.33% |
| MDoubleU vs Asuka | 32–31 | 50.79% |
| MDoubleU vs Paul | 31–27 | 53.45% |
| MDoubleU vs Feng | 26–31 | 45.61% |
| MDoubleU vs Lee | 28–28 | 50.00% |
| MDoubleU vs Eddy | 26–26 | 50.00% |
| MDoubleU vs Nina | 24–27 | 47.06% |
| MDoubleU vs Alisa | 19–28 | 40.43% |
| MDoubleU vs Victor | 24–23 | 51.06% |
| MDoubleU vs Jun | 16–28 | 36.36% |
| MDoubleU vs Lars | 24–19 | 55.81% |
| MDoubleU vs Leo | 29–11 | 72.50% |
| MDoubleU vs Devil Jin | 15–20 | 42.86% |
| MDoubleU vs Raven | 19–16 | 54.29% |
| MDoubleU vs Leroy | 21–11 | 65.62% |
| MDoubleU vs Claudio | 14–17 | 45.16% |
| MDoubleU vs Jack-8 | 18–12 | 60.00% |
| MDoubleU vs Kuma | 16–13 | 55.17% |
| MDoubleU vs Shaheen | 10–18 | 35.71% |
| MDoubleU vs Heihachi | 20–6 | 76.92% |
| MDoubleU vs Zafina | 8–11 | 42.11% |
| MDoubleU vs Panda | 1–4 | 20.00% |
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.