| ÐØŸĘÑ vs Kazuya | 39–10 | 79.59% |
| ÐØŸĘÑ vs Steve | 32–15 | 68.09% |
| ÐØŸĘÑ vs Jin | 29–15 | 65.91% |
| ÐØŸĘÑ vs Law | 29–12 | 70.73% |
| ÐØŸĘÑ vs King | 32–9 | 78.05% |
| ÐØŸĘÑ vs Bryan | 28–11 | 71.79% |
| ÐØŸĘÑ vs Asuka | 28–11 | 71.79% |
| ÐØŸĘÑ vs Heihachi | 29–3 | 90.62% |
| ÐØŸĘÑ vs Paul | 18–12 | 60.00% |
| ÐØŸĘÑ vs Hwoarang | 21–9 | 70.00% |
| ÐØŸĘÑ vs Reina | 22–7 | 75.86% |
| ÐØŸĘÑ vs Yoshimitsu | 19–9 | 67.86% |
| ÐØŸĘÑ vs Lee | 17–11 | 60.71% |
| ÐØŸĘÑ vs Lars | 23–4 | 85.19% |
| ÐØŸĘÑ vs Clive | 19–7 | 73.08% |
| ÐØŸĘÑ vs Lili | 18–5 | 78.26% |
| ÐØŸĘÑ vs Eddy | 14–8 | 63.64% |
| ÐØŸĘÑ vs Nina | 16–5 | 76.19% |
| ÐØŸĘÑ vs Victor | 18–2 | 90.00% |
| ÐØŸĘÑ vs Fahkumram | 15–5 | 75.00% |
| ÐØŸĘÑ vs Jun | 14–4 | 77.78% |
| ÐØŸĘÑ vs Raven | 12–6 | 66.67% |
| ÐØŸĘÑ vs Leroy | 11–6 | 64.71% |
| ÐØŸĘÑ vs Azucena | 10–7 | 58.82% |
| ÐØŸĘÑ vs Dragunov | 13–3 | 81.25% |
| ÐØŸĘÑ vs Leo | 11–4 | 73.33% |
| ÐØŸĘÑ vs Devil Jin | 10–3 | 76.92% |
| ÐØŸĘÑ vs Alisa | 10–3 | 76.92% |
| ÐØŸĘÑ vs Claudio | 9–4 | 69.23% |
| ÐØŸĘÑ vs Lidia | 9–4 | 69.23% |
| ÐØŸĘÑ vs Xiaoyu | 9–3 | 75.00% |
| ÐØŸĘÑ vs Anna | 6–4 | 60.00% |
| ÐØŸĘÑ vs Feng | 8–1 | 88.89% |
| ÐØŸĘÑ vs Kuma | 4–3 | 57.14% |
| ÐØŸĘÑ vs Armor King | 2–5 | 28.57% |
| ÐØŸĘÑ vs Zafina | 3–2 | 60.00% |
| ÐØŸĘÑ vs Jack-8 | 3–0 | 100.00% |
| ÐØŸĘÑ vs Shaheen | 0–1 | 0.00% |
| ÐØŸĘÑ vs Miary Zo | 1–0 | 100.00% |
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.