| ymasnitneuq vs Kazuya | 17–24 | 41.46% |
| ymasnitneuq vs Jin | 17–22 | 43.59% |
| ymasnitneuq vs Reina | 18–19 | 48.65% |
| ymasnitneuq vs King | 18–17 | 51.43% |
| ymasnitneuq vs Steve | 10–18 | 35.71% |
| ymasnitneuq vs Law | 11–12 | 47.83% |
| ymasnitneuq vs Hwoarang | 13–10 | 56.52% |
| ymasnitneuq vs Jun | 11–11 | 50.00% |
| ymasnitneuq vs Bryan | 5–13 | 27.78% |
| ymasnitneuq vs Lidia | 7–11 | 38.89% |
| ymasnitneuq vs Yoshimitsu | 9–8 | 52.94% |
| ymasnitneuq vs Lili | 9–8 | 52.94% |
| ymasnitneuq vs Eddy | 3–14 | 17.65% |
| ymasnitneuq vs Nina | 6–10 | 37.50% |
| ymasnitneuq vs Heihachi | 6–10 | 37.50% |
| ymasnitneuq vs Asuka | 11–4 | 73.33% |
| ymasnitneuq vs Azucena | 7–8 | 46.67% |
| ymasnitneuq vs Lars | 5–8 | 38.46% |
| ymasnitneuq vs Leroy | 3–9 | 25.00% |
| ymasnitneuq vs Paul | 5–6 | 45.45% |
| ymasnitneuq vs Alisa | 6–5 | 54.55% |
| ymasnitneuq vs Xiaoyu | 7–3 | 70.00% |
| ymasnitneuq vs Dragunov | 5–5 | 50.00% |
| ymasnitneuq vs Lee | 7–3 | 70.00% |
| ymasnitneuq vs Victor | 4–6 | 40.00% |
| ymasnitneuq vs Devil Jin | 6–3 | 66.67% |
| ymasnitneuq vs Jack-8 | 7–1 | 87.50% |
| ymasnitneuq vs Feng | 1–7 | 12.50% |
| ymasnitneuq vs Zafina | 6–2 | 75.00% |
| ymasnitneuq vs Clive | 5–2 | 71.43% |
| ymasnitneuq vs Leo | 4–1 | 80.00% |
| ymasnitneuq vs Raven | 2–3 | 40.00% |
| ymasnitneuq vs Claudio | 1–3 | 25.00% |
| ymasnitneuq vs Shaheen | 2–2 | 50.00% |
| ymasnitneuq vs Anna | 3–1 | 75.00% |
| ymasnitneuq vs Fahkumram | 2–1 | 66.67% |
| ymasnitneuq vs Kuma | 0–1 | 0.00% |
| ymasnitneuq vs Panda | 0–1 | 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.