| SKIP|Intro vs Jin | 47–33 | 58.75% |
| SKIP|Intro vs Kazuya | 42–30 | 58.33% |
| SKIP|Intro vs King | 31–28 | 52.54% |
| SKIP|Intro vs Bryan | 33–23 | 58.93% |
| SKIP|Intro vs Reina | 30–24 | 55.56% |
| SKIP|Intro vs Dragunov | 27–21 | 56.25% |
| SKIP|Intro vs Hwoarang | 20–22 | 47.62% |
| SKIP|Intro vs Steve | 20–22 | 47.62% |
| SKIP|Intro vs Lili | 26–15 | 63.41% |
| SKIP|Intro vs Yoshimitsu | 21–19 | 52.50% |
| SKIP|Intro vs Lee | 13–24 | 35.14% |
| SKIP|Intro vs Feng | 17–17 | 50.00% |
| SKIP|Intro vs Paul | 16–17 | 48.48% |
| SKIP|Intro vs Jun | 14–18 | 43.75% |
| SKIP|Intro vs Devil Jin | 17–11 | 60.71% |
| SKIP|Intro vs Eddy | 12–14 | 46.15% |
| SKIP|Intro vs Lars | 11–13 | 45.83% |
| SKIP|Intro vs Raven | 18–6 | 75.00% |
| SKIP|Intro vs Kuma | 14–9 | 60.87% |
| SKIP|Intro vs Asuka | 15–7 | 68.18% |
| SKIP|Intro vs Victor | 12–10 | 54.55% |
| SKIP|Intro vs Nina | 7–14 | 33.33% |
| SKIP|Intro vs Leroy | 11–10 | 52.38% |
| SKIP|Intro vs Alisa | 11–8 | 57.89% |
| SKIP|Intro vs Law | 10–8 | 55.56% |
| SKIP|Intro vs Shaheen | 9–9 | 50.00% |
| SKIP|Intro vs Zafina | 12–6 | 66.67% |
| SKIP|Intro vs Xiaoyu | 4–8 | 33.33% |
| SKIP|Intro vs Leo | 7–4 | 63.64% |
| SKIP|Intro vs Claudio | 6–5 | 54.55% |
| SKIP|Intro vs Azucena | 4–4 | 50.00% |
| SKIP|Intro vs Jack-8 | 5–1 | 83.33% |
| SKIP|Intro vs Panda | 3–2 | 60.00% |
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.