| nah id quit vs Reina | 18–18 | 50.00% |
| nah id quit vs Steve | 9–15 | 37.50% |
| nah id quit vs King | 12–11 | 52.17% |
| nah id quit vs Jin | 5–16 | 23.81% |
| nah id quit vs Bryan | 12–6 | 66.67% |
| nah id quit vs Law | 4–13 | 23.53% |
| nah id quit vs Claudio | 6–10 | 37.50% |
| nah id quit vs Clive | 7–9 | 43.75% |
| nah id quit vs Hwoarang | 8–7 | 53.33% |
| nah id quit vs Kazuya | 6–9 | 40.00% |
| nah id quit vs Lili | 8–7 | 53.33% |
| nah id quit vs Dragunov | 7–7 | 50.00% |
| nah id quit vs Lars | 8–5 | 61.54% |
| nah id quit vs Victor | 4–9 | 30.77% |
| nah id quit vs Paul | 4–6 | 40.00% |
| nah id quit vs Leo | 4–6 | 40.00% |
| nah id quit vs Azucena | 4–6 | 40.00% |
| nah id quit vs Alisa | 4–3 | 57.14% |
| nah id quit vs Nina | 4–3 | 57.14% |
| nah id quit vs Devil Jin | 2–4 | 33.33% |
| nah id quit vs Jun | 3–2 | 60.00% |
| nah id quit vs Yoshimitsu | 1–3 | 25.00% |
| nah id quit vs Shaheen | 0–4 | 0.00% |
| nah id quit vs Kuma | 0–4 | 0.00% |
| nah id quit vs Lidia | 1–3 | 25.00% |
| nah id quit vs Xiaoyu | 2–1 | 66.67% |
| nah id quit vs Asuka | 1–2 | 33.33% |
| nah id quit vs Feng | 2–1 | 66.67% |
| nah id quit vs Zafina | 0–3 | 0.00% |
| nah id quit vs Raven | 0–3 | 0.00% |
| nah id quit vs Fahkumram | 0–2 | 0.00% |
| nah id quit vs Jack-8 | 0–1 | 0.00% |
| nah id quit vs Heihachi | 0–1 | 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.