| m1Nja vs King | 30–73 | 29.13% |
| m1Nja vs Jin | 29–71 | 29.00% |
| m1Nja vs Steve | 27–63 | 30.00% |
| m1Nja vs Reina | 21–63 | 25.00% |
| m1Nja vs Hwoarang | 19–50 | 27.54% |
| m1Nja vs Eddy | 16–48 | 25.00% |
| m1Nja vs Jun | 17–44 | 27.87% |
| m1Nja vs Kazuya | 9–49 | 15.52% |
| m1Nja vs Lili | 14–41 | 25.45% |
| m1Nja vs Dragunov | 14–41 | 25.45% |
| m1Nja vs Fahkumram | 13–35 | 27.08% |
| m1Nja vs Yoshimitsu | 20–26 | 43.48% |
| m1Nja vs Azucena | 14–32 | 30.43% |
| m1Nja vs Law | 13–32 | 28.89% |
| m1Nja vs Asuka | 15–30 | 33.33% |
| m1Nja vs Lee | 11–33 | 25.00% |
| m1Nja vs Victor | 16–26 | 38.10% |
| m1Nja vs Heihachi | 12–30 | 28.57% |
| m1Nja vs Paul | 12–23 | 34.29% |
| m1Nja vs Lars | 12–22–1 | 35.29% |
| m1Nja vs Bryan | 11–23 | 32.35% |
| m1Nja vs Nina | 13–19 | 40.62% |
| m1Nja vs Kuma | 8–24 | 25.00% |
| m1Nja vs Xiaoyu | 6–23 | 20.69% |
| m1Nja vs Alisa | 10–18 | 35.71% |
| m1Nja vs Devil Jin | 5–20 | 20.00% |
| m1Nja vs Clive | 7–15 | 31.82% |
| m1Nja vs Feng | 5–15 | 25.00% |
| m1Nja vs Jack-8 | 6–13 | 31.58% |
| m1Nja vs Leroy | 7–12 | 36.84% |
| m1Nja vs Leo | 4–12 | 25.00% |
| m1Nja vs Claudio | 1–14 | 6.67% |
| m1Nja vs Anna | 4–11 | 26.67% |
| m1Nja vs Raven | 5–6 | 45.45% |
| m1Nja vs Lidia | 1–8 | 11.11% |
| m1Nja vs Shaheen | 2–6 | 25.00% |
| m1Nja vs Panda | 3–5 | 37.50% |
| m1Nja vs Zafina | 4–3 | 57.14% |
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.