| nneewwbbiiee vs Eddy | 11–11 | 50.00% |
| nneewwbbiiee vs Dragunov | 10–9 | 52.63% |
| nneewwbbiiee vs Kazuya | 12–6 | 66.67% |
| nneewwbbiiee vs Paul | 7–9 | 43.75% |
| nneewwbbiiee vs Hwoarang | 9–7 | 56.25% |
| nneewwbbiiee vs Reina | 8–7 | 53.33% |
| nneewwbbiiee vs Lili | 8–6 | 57.14% |
| nneewwbbiiee vs Asuka | 8–5 | 61.54% |
| nneewwbbiiee vs Law | 4–7 | 36.36% |
| nneewwbbiiee vs King | 9–2 | 81.82% |
| nneewwbbiiee vs Jin | 7–3 | 70.00% |
| nneewwbbiiee vs Bryan | 4–6 | 40.00% |
| nneewwbbiiee vs Devil Jin | 1–9 | 10.00% |
| nneewwbbiiee vs Jun | 5–5 | 50.00% |
| nneewwbbiiee vs Xiaoyu | 1–7 | 12.50% |
| nneewwbbiiee vs Lars | 6–2 | 75.00% |
| nneewwbbiiee vs Lidia | 3–5 | 37.50% |
| nneewwbbiiee vs Leo | 6–1 | 85.71% |
| nneewwbbiiee vs Victor | 6–1 | 85.71% |
| nneewwbbiiee vs Steve | 5–1 | 83.33% |
| nneewwbbiiee vs Jack-8 | 1–5 | 16.67% |
| nneewwbbiiee vs Feng | 1–5 | 16.67% |
| nneewwbbiiee vs Nina | 3–3 | 50.00% |
| nneewwbbiiee vs Azucena | 1–4 | 20.00% |
| nneewwbbiiee vs Alisa | 3–1 | 75.00% |
| nneewwbbiiee vs Panda | 4–0 | 100.00% |
| nneewwbbiiee vs Leroy | 2–2 | 50.00% |
| nneewwbbiiee vs Yoshimitsu | 1–2 | 33.33% |
| nneewwbbiiee vs Claudio | 3–0 | 100.00% |
| nneewwbbiiee vs Zafina | 1–2 | 33.33% |
| nneewwbbiiee vs Shaheen | 1–0 | 100.00% |
| nneewwbbiiee vs Lee | 1–0 | 100.00% |
| nneewwbbiiee vs Raven | 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.