| 3MK_ vs King | 30–50 | 37.50% |
| 3MK_ vs Kazuya | 41–32 | 56.16% |
| 3MK_ vs Jin | 33–27 | 55.00% |
| 3MK_ vs Hwoarang | 25–19 | 56.82% |
| 3MK_ vs Bryan | 26–17 | 60.47% |
| 3MK_ vs Paul | 20–22 | 47.62% |
| 3MK_ vs Law | 25–15 | 62.50% |
| 3MK_ vs Dragunov | 20–20 | 50.00% |
| 3MK_ vs Heihachi | 14–23 | 37.84% |
| 3MK_ vs Yoshimitsu | 11–19 | 36.67% |
| 3MK_ vs Victor | 10–18 | 35.71% |
| 3MK_ vs Steve | 15–11 | 57.69% |
| 3MK_ vs Reina | 13–8 | 61.90% |
| 3MK_ vs Devil Jin | 9–10 | 47.37% |
| 3MK_ vs Asuka | 5–13 | 27.78% |
| 3MK_ vs Clive | 8–9 | 47.06% |
| 3MK_ vs Lars | 7–9 | 43.75% |
| 3MK_ vs Lee | 8–7 | 53.33% |
| 3MK_ vs Lili | 9–4 | 69.23% |
| 3MK_ vs Nina | 9–4 | 69.23% |
| 3MK_ vs Feng | 4–8 | 33.33% |
| 3MK_ vs Anna | 8–4 | 66.67% |
| 3MK_ vs Jack-8 | 6–5 | 54.55% |
| 3MK_ vs Alisa | 3–8 | 27.27% |
| 3MK_ vs Claudio | 9–2 | 81.82% |
| 3MK_ vs Jun | 6–5 | 54.55% |
| 3MK_ vs Eddy | 7–4 | 63.64% |
| 3MK_ vs Armor King | 6–5 | 54.55% |
| 3MK_ vs Shaheen | 5–5 | 50.00% |
| 3MK_ vs Fahkumram | 5–4 | 55.56% |
| 3MK_ vs Xiaoyu | 4–4 | 50.00% |
| 3MK_ vs Leroy | 6–2 | 75.00% |
| 3MK_ vs Azucena | 5–3 | 62.50% |
| 3MK_ vs Leo | 2–4 | 33.33% |
| 3MK_ vs Zafina | 3–3 | 50.00% |
| 3MK_ vs Lidia | 1–5 | 16.67% |
| 3MK_ vs Raven | 2–3 | 40.00% |
| 3MK_ vs Kuma | 2–2 | 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.