| nonfictiondp vs Kazuya | 11–11 | 50.00% |
| nonfictiondp vs Lee | 13–7 | 65.00% |
| nonfictiondp vs King | 13–6 | 68.42% |
| nonfictiondp vs Hwoarang | 12–6 | 66.67% |
| nonfictiondp vs Jin | 12–6 | 66.67% |
| nonfictiondp vs Paul | 11–5 | 68.75% |
| nonfictiondp vs Lili | 9–7 | 56.25% |
| nonfictiondp vs Bryan | 10–5 | 66.67% |
| nonfictiondp vs Dragunov | 8–6 | 57.14% |
| nonfictiondp vs Lidia | 9–5 | 64.29% |
| nonfictiondp vs Azucena | 10–3 | 76.92% |
| nonfictiondp vs Yoshimitsu | 9–3 | 75.00% |
| nonfictiondp vs Law | 9–2 | 81.82% |
| nonfictiondp vs Nina | 9–2 | 81.82% |
| nonfictiondp vs Reina | 3–7 | 30.00% |
| nonfictiondp vs Heihachi | 4–6 | 40.00% |
| nonfictiondp vs Steve | 7–1 | 87.50% |
| nonfictiondp vs Feng | 6–2 | 75.00% |
| nonfictiondp vs Alisa | 5–3 | 62.50% |
| nonfictiondp vs Jun | 6–1 | 85.71% |
| nonfictiondp vs Raven | 3–4 | 42.86% |
| nonfictiondp vs Clive | 4–3 | 57.14% |
| nonfictiondp vs Anna | 2–5 | 28.57% |
| nonfictiondp vs Jack-8 | 3–3 | 50.00% |
| nonfictiondp vs Asuka | 6–0 | 100.00% |
| nonfictiondp vs Devil Jin | 4–2 | 66.67% |
| nonfictiondp vs Lars | 3–2 | 60.00% |
| nonfictiondp vs Shaheen | 3–2 | 60.00% |
| nonfictiondp vs Panda | 1–4 | 20.00% |
| nonfictiondp vs Xiaoyu | 2–2 | 50.00% |
| nonfictiondp vs Leroy | 2–2 | 50.00% |
| nonfictiondp vs Eddy | 3–1 | 75.00% |
| nonfictiondp vs Leo | 1–1 | 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.