| M7SN_X vs Jin | 42–56 | 42.86% |
| M7SN_X vs Kazuya | 37–44 | 45.68% |
| M7SN_X vs Reina | 28–39 | 41.79% |
| M7SN_X vs King | 26–39 | 40.00% |
| M7SN_X vs Dragunov | 27–34 | 44.26% |
| M7SN_X vs Bryan | 32–23 | 58.18% |
| M7SN_X vs Yoshimitsu | 22–23 | 48.89% |
| M7SN_X vs Paul | 20–22 | 47.62% |
| M7SN_X vs Law | 12–23 | 34.29% |
| M7SN_X vs Lili | 16–15 | 51.61% |
| M7SN_X vs Heihachi | 15–16 | 48.39% |
| M7SN_X vs Hwoarang | 12–15 | 44.44% |
| M7SN_X vs Steve | 12–14 | 46.15% |
| M7SN_X vs Nina | 12–14 | 46.15% |
| M7SN_X vs Victor | 13–12 | 52.00% |
| M7SN_X vs Devil Jin | 9–14 | 39.13% |
| M7SN_X vs Lee | 15–8 | 65.22% |
| M7SN_X vs Azucena | 12–11 | 52.17% |
| M7SN_X vs Feng | 7–15 | 31.82% |
| M7SN_X vs Lars | 12–6 | 66.67% |
| M7SN_X vs Jun | 7–10 | 41.18% |
| M7SN_X vs Lidia | 11–4 | 73.33% |
| M7SN_X vs Clive | 6–9 | 40.00% |
| M7SN_X vs Eddy | 7–5 | 58.33% |
| M7SN_X vs Claudio | 9–2 | 81.82% |
| M7SN_X vs Alisa | 5–4 | 55.56% |
| M7SN_X vs Xiaoyu | 2–6 | 25.00% |
| M7SN_X vs Raven | 3–5 | 37.50% |
| M7SN_X vs Jack-8 | 1–6 | 14.29% |
| M7SN_X vs Asuka | 6–1 | 85.71% |
| M7SN_X vs Leo | 7–0 | 100.00% |
| M7SN_X vs Shaheen | 4–1 | 80.00% |
| M7SN_X vs Kuma | 1–4 | 20.00% |
| M7SN_X vs Zafina | 1–4 | 20.00% |
| M7SN_X vs Anna | 2–0 | 100.00% |
| M7SN_X vs Fahkumram | 2–0 | 100.00% |
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.