| ML7_ vs Kazuya | 129–111 | 53.75% |
| ML7_ vs Jin | 97–96 | 50.26% |
| ML7_ vs King | 97–63 | 60.62% |
| ML7_ vs Heihachi | 73–62 | 54.07% |
| ML7_ vs Steve | 54–56 | 49.09% |
| ML7_ vs Bryan | 47–59 | 44.34% |
| ML7_ vs Dragunov | 54–51 | 51.43% |
| ML7_ vs Law | 43–39 | 52.44% |
| ML7_ vs Hwoarang | 36–36 | 50.00% |
| ML7_ vs Yoshimitsu | 33–37 | 47.14% |
| ML7_ vs Reina | 32–33 | 49.23% |
| ML7_ vs Armor King | 31–32 | 49.21% |
| ML7_ vs Lee | 20–38 | 34.48% |
| ML7_ vs Devil Jin | 23–25 | 47.92% |
| ML7_ vs Lili | 15–32 | 31.91% |
| ML7_ vs Victor | 16–28 | 36.36% |
| ML7_ vs Paul | 17–24 | 41.46% |
| ML7_ vs Lars | 22–19 | 53.66% |
| ML7_ vs Anna | 14–26 | 35.00% |
| ML7_ vs Azucena | 19–18 | 51.35% |
| ML7_ vs Alisa | 14–22 | 38.89% |
| ML7_ vs Fahkumram | 9–25 | 26.47% |
| ML7_ vs Claudio | 18–15 | 54.55% |
| ML7_ vs Feng | 14–18 | 43.75% |
| ML7_ vs Nina | 11–18 | 37.93% |
| ML7_ vs Jun | 9–19 | 32.14% |
| ML7_ vs Asuka | 11–16 | 40.74% |
| ML7_ vs Eddy | 12–15 | 44.44% |
| ML7_ vs Clive | 15–7 | 68.18% |
| ML7_ vs Xiaoyu | 6–14 | 30.00% |
| ML7_ vs Jack-8 | 6–13 | 31.58% |
| ML7_ vs Kuma | 8–9 | 47.06% |
| ML7_ vs Leo | 2–12 | 14.29% |
| ML7_ vs Lidia | 9–4 | 69.23% |
| ML7_ vs Shaheen | 3–8 | 27.27% |
| ML7_ vs Raven | 5–3 | 62.50% |
| ML7_ vs Leroy | 1–5 | 16.67% |
| ML7_ vs Panda | 2–2 | 50.00% |
| ML7_ vs Zafina | 0–3 | 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.