| who's who vs Hwoarang | 134–146 | 47.86% |
| who's who vs King | 160–116 | 57.97% |
| who's who vs Bryan | 113–92 | 55.12% |
| who's who vs Dragunov | 109–89 | 55.05% |
| who's who vs Reina | 111–67 | 62.36% |
| who's who vs Yoshimitsu | 96–79 | 54.86% |
| who's who vs Jin | 90–84 | 51.72% |
| who's who vs Steve | 84–87 | 49.12% |
| who's who vs Asuka | 88–71 | 55.35% |
| who's who vs Paul | 103–55 | 65.19% |
| who's who vs Victor | 82–65 | 55.78% |
| who's who vs Lili | 92–54 | 63.01% |
| who's who vs Jack-8 | 68–69 | 49.64% |
| who's who vs Kazuya | 67–69 | 49.26% |
| who's who vs Lars | 75–60 | 55.56% |
| who's who vs Xiaoyu | 69–57 | 54.76% |
| who's who vs Feng | 69–57 | 54.76% |
| who's who vs Alisa | 70–55 | 56.00% |
| who's who vs Eddy | 79–43 | 64.75% |
| who's who vs Leo | 56–64 | 46.67% |
| who's who vs Nina | 60–55 | 52.17% |
| who's who vs Azucena | 66–49 | 57.39% |
| who's who vs Fahkumram | 53–58 | 47.75% |
| who's who vs Devil Jin | 47–50 | 48.45% |
| who's who vs Heihachi | 41–55 | 42.71% |
| who's who vs Jun | 57–33–1 | 63.33% |
| who's who vs Shaheen | 42–45 | 48.28% |
| who's who vs Anna | 37–48 | 43.53% |
| who's who vs Law | 47–37 | 55.95% |
| who's who vs Lidia | 37–46 | 44.58% |
| who's who vs Lee | 35–47 | 42.68% |
| who's who vs Leroy | 37–39 | 48.68% |
| who's who vs Zafina | 34–41 | 45.33% |
| who's who vs Raven | 45–29 | 60.81% |
| who's who vs Kuma | 43–29 | 59.72% |
| who's who vs Claudio | 31–34 | 47.69% |
| who's who vs Clive | 23–20 | 53.49% |
| who's who vs Panda | 18–16 | 52.94% |
| who's who vs Armor King | 14–18 | 43.75% |
| who's who vs Miary Zo | 10–8 | 55.56% |
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.