| nmshu_ma vs Dragunov | 8–20 | 28.57% |
| nmshu_ma vs King | 8–15 | 34.78% |
| nmshu_ma vs Hwoarang | 8–13 | 38.10% |
| nmshu_ma vs Paul | 2–17 | 10.53% |
| nmshu_ma vs Steve | 7–11 | 38.89% |
| nmshu_ma vs Kazuya | 4–10 | 28.57% |
| nmshu_ma vs Devil Jin | 5–7 | 41.67% |
| nmshu_ma vs Xiaoyu | 5–6 | 45.45% |
| nmshu_ma vs Bryan | 5–5 | 50.00% |
| nmshu_ma vs Reina | 4–6 | 40.00% |
| nmshu_ma vs Lili | 5–4 | 55.56% |
| nmshu_ma vs Yoshimitsu | 2–6 | 25.00% |
| nmshu_ma vs Anna | 0–8 | 0.00% |
| nmshu_ma vs Law | 1–6 | 14.29% |
| nmshu_ma vs Asuka | 3–4 | 42.86% |
| nmshu_ma vs Azucena | 4–3 | 57.14% |
| nmshu_ma vs Eddy | 0–7 | 0.00% |
| nmshu_ma vs Lidia | 3–4 | 42.86% |
| nmshu_ma vs Lars | 2–4 | 33.33% |
| nmshu_ma vs Claudio | 1–5 | 16.67% |
| nmshu_ma vs Jun | 4–2 | 66.67% |
| nmshu_ma vs Jin | 2–3 | 40.00% |
| nmshu_ma vs Leo | 1–4 | 20.00% |
| nmshu_ma vs Kuma | 1–4 | 20.00% |
| nmshu_ma vs Nina | 0–4 | 0.00% |
| nmshu_ma vs Leroy | 1–3 | 25.00% |
| nmshu_ma vs Lee | 0–3 | 0.00% |
| nmshu_ma vs Panda | 2–1 | 66.67% |
| nmshu_ma vs Victor | 1–2 | 33.33% |
| nmshu_ma vs Heihachi | 0–3 | 0.00% |
| nmshu_ma vs Miary Zo | 2–1 | 66.67% |
| nmshu_ma vs Jack-8 | 0–2 | 0.00% |
| nmshu_ma vs Alisa | 0–2 | 0.00% |
| nmshu_ma vs Armor King | 0–2 | 0.00% |
| nmshu_ma vs Shaheen | 1–0 | 100.00% |
| nmshu_ma vs Zafina | 1–0 | 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.