| d35pa1r vs Reina | 33–25 | 56.90% |
| d35pa1r vs Law | 19–28 | 40.43% |
| d35pa1r vs King | 26–21 | 55.32% |
| d35pa1r vs Jin | 23–23 | 50.00% |
| d35pa1r vs Hwoarang | 19–23 | 45.24% |
| d35pa1r vs Bryan | 20–21 | 48.78% |
| d35pa1r vs Jun | 21–17 | 55.26% |
| d35pa1r vs Kazuya | 18–19 | 48.65% |
| d35pa1r vs Yoshimitsu | 16–19 | 45.71% |
| d35pa1r vs Heihachi | 8–21 | 27.59% |
| d35pa1r vs Nina | 6–19 | 24.00% |
| d35pa1r vs Azucena | 5–18 | 21.74% |
| d35pa1r vs Dragunov | 9–13 | 40.91% |
| d35pa1r vs Steve | 12–8 | 60.00% |
| d35pa1r vs Lee | 7–12 | 36.84% |
| d35pa1r vs Eddy | 12–6 | 66.67% |
| d35pa1r vs Victor | 5–12 | 29.41% |
| d35pa1r vs Jack-8 | 9–7 | 56.25% |
| d35pa1r vs Clive | 6–10 | 37.50% |
| d35pa1r vs Xiaoyu | 7–8 | 46.67% |
| d35pa1r vs Claudio | 7–7 | 50.00% |
| d35pa1r vs Asuka | 2–11 | 15.38% |
| d35pa1r vs Paul | 8–4 | 66.67% |
| d35pa1r vs Lili | 4–8 | 33.33% |
| d35pa1r vs Alisa | 8–3 | 72.73% |
| d35pa1r vs Raven | 8–3 | 72.73% |
| d35pa1r vs Lidia | 8–2 | 80.00% |
| d35pa1r vs Leo | 4–3 | 57.14% |
| d35pa1r vs Devil Jin | 2–4 | 33.33% |
| d35pa1r vs Shaheen | 2–4 | 33.33% |
| d35pa1r vs Feng | 1–4 | 20.00% |
| d35pa1r vs Lars | 2–3 | 40.00% |
| d35pa1r vs Kuma | 1–4 | 20.00% |
| d35pa1r vs Zafina | 2–2 | 50.00% |
| d35pa1r vs Leroy | 0–2 | 0.00% |
| d35pa1r vs Armor King | 2–0 | 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.