| Has_78692 vs Hwoarang | 140–110 | 56.00% |
| Has_78692 vs Jin | 110–113 | 49.33% |
| Has_78692 vs Kazuya | 109–98 | 52.66% |
| Has_78692 vs Law | 106–89 | 54.36% |
| Has_78692 vs Bryan | 94–82 | 53.41% |
| Has_78692 vs King | 68–90 | 43.04% |
| Has_78692 vs Yoshimitsu | 67–74 | 47.52% |
| Has_78692 vs Eddy | 72–67 | 51.80% |
| Has_78692 vs Reina | 78–60 | 56.52% |
| Has_78692 vs Devil Jin | 59–73 | 44.70% |
| Has_78692 vs Paul | 60–68 | 46.88% |
| Has_78692 vs Jun | 65–62 | 51.18% |
| Has_78692 vs Steve | 62–64 | 49.21% |
| Has_78692 vs Dragunov | 62–55 | 52.99% |
| Has_78692 vs Lili | 55–61 | 47.41% |
| Has_78692 vs Lars | 58–45 | 56.31% |
| Has_78692 vs Victor | 58–31 | 65.17% |
| Has_78692 vs Lee | 36–51 | 41.38% |
| Has_78692 vs Feng | 46–40 | 53.49% |
| Has_78692 vs Asuka | 42–42 | 50.00% |
| Has_78692 vs Xiaoyu | 46–31 | 59.74% |
| Has_78692 vs Nina | 35–32 | 52.24% |
| Has_78692 vs Alisa | 25–41 | 37.88% |
| Has_78692 vs Azucena | 30–30 | 50.00% |
| Has_78692 vs Leroy | 27–26 | 50.94% |
| Has_78692 vs Jack-8 | 21–20 | 51.22% |
| Has_78692 vs Zafina | 23–18 | 56.10% |
| Has_78692 vs Raven | 17–21 | 44.74% |
| Has_78692 vs Claudio | 18–16 | 52.94% |
| Has_78692 vs Leo | 11–20–1 | 35.48% |
| Has_78692 vs Kuma | 15–14 | 51.72% |
| Has_78692 vs Lidia | 9–16 | 36.00% |
| Has_78692 vs Shaheen | 5–10 | 33.33% |
| Has_78692 vs Panda | 6–6 | 50.00% |
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.