| nq_300 vs Steve | 25–62 | 28.74% |
| nq_300 vs Jin | 15–57 | 20.83% |
| nq_300 vs Hwoarang | 27–35 | 43.55% |
| nq_300 vs Heihachi | 12–46 | 20.69% |
| nq_300 vs King | 13–43 | 23.21% |
| nq_300 vs Kazuya | 11–45 | 19.64% |
| nq_300 vs Nina | 17–35 | 32.69% |
| nq_300 vs Bryan | 9–39 | 18.75% |
| nq_300 vs Reina | 13–34 | 27.66% |
| nq_300 vs Law | 11–31 | 26.19% |
| nq_300 vs Clive | 13–28 | 31.71% |
| nq_300 vs Yoshimitsu | 9–26 | 25.71% |
| nq_300 vs Devil Jin | 7–28 | 20.00% |
| nq_300 vs Lili | 9–26 | 25.71% |
| nq_300 vs Dragunov | 13–21 | 38.24% |
| nq_300 vs Asuka | 9–24 | 27.27% |
| nq_300 vs Jun | 13–19 | 40.62% |
| nq_300 vs Lars | 5–22 | 18.52% |
| nq_300 vs Azucena | 14–12 | 53.85% |
| nq_300 vs Victor | 2–23 | 8.00% |
| nq_300 vs Lee | 5–15 | 25.00% |
| nq_300 vs Alisa | 2–12 | 14.29% |
| nq_300 vs Leroy | 4–9 | 30.77% |
| nq_300 vs Paul | 1–10 | 9.09% |
| nq_300 vs Lidia | 2–9 | 18.18% |
| nq_300 vs Xiaoyu | 1–9 | 10.00% |
| nq_300 vs Jack-8 | 3–7 | 30.00% |
| nq_300 vs Eddy | 0–10 | 0.00% |
| nq_300 vs Kuma | 0–9 | 0.00% |
| nq_300 vs Feng | 3–5 | 37.50% |
| nq_300 vs Leo | 2–6 | 25.00% |
| nq_300 vs Raven | 0–6 | 0.00% |
| nq_300 vs Claudio | 0–4 | 0.00% |
| nq_300 vs Zafina | 1–2 | 33.33% |
| nq_300 vs Anna | 1–2 | 33.33% |
| nq_300 vs Shaheen | 0–2 | 0.00% |
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.