| yhk0491 vs Paul | 25–26 | 49.02% |
| yhk0491 vs Kazuya | 15–33 | 31.25% |
| yhk0491 vs Hwoarang | 16–20 | 44.44% |
| yhk0491 vs King | 18–17 | 51.43% |
| yhk0491 vs Victor | 7–24 | 22.58% |
| yhk0491 vs Jin | 13–17 | 43.33% |
| yhk0491 vs Reina | 17–13 | 56.67% |
| yhk0491 vs Lili | 13–15 | 46.43% |
| yhk0491 vs Asuka | 16–10 | 61.54% |
| yhk0491 vs Xiaoyu | 11–13 | 45.83% |
| yhk0491 vs Steve | 16–8 | 66.67% |
| yhk0491 vs Dragunov | 13–8 | 61.90% |
| yhk0491 vs Yoshimitsu | 8–12 | 40.00% |
| yhk0491 vs Lars | 7–13 | 35.00% |
| yhk0491 vs Claudio | 9–10 | 47.37% |
| yhk0491 vs Lee | 9–10 | 47.37% |
| yhk0491 vs Heihachi | 5–14 | 26.32% |
| yhk0491 vs Bryan | 9–9 | 50.00% |
| yhk0491 vs Jun | 7–11 | 38.89% |
| yhk0491 vs Clive | 4–14 | 22.22% |
| yhk0491 vs Devil Jin | 6–10 | 37.50% |
| yhk0491 vs Azucena | 6–10 | 37.50% |
| yhk0491 vs Law | 7–8 | 46.67% |
| yhk0491 vs Jack-8 | 5–10 | 33.33% |
| yhk0491 vs Nina | 7–7 | 50.00% |
| yhk0491 vs Lidia | 4–7 | 36.36% |
| yhk0491 vs Feng | 6–4 | 60.00% |
| yhk0491 vs Alisa | 5–4 | 55.56% |
| yhk0491 vs Eddy | 1–6 | 14.29% |
| yhk0491 vs Leroy | 2–4 | 33.33% |
| yhk0491 vs Leo | 3–2 | 60.00% |
| yhk0491 vs Kuma | 0–5 | 0.00% |
| yhk0491 vs Zafina | 1–4 | 20.00% |
| yhk0491 vs Raven | 3–2 | 60.00% |
| yhk0491 vs Shaheen | 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.