| N@m31234 vs Reina | 85–41 | 67.46% |
| N@m31234 vs Jin | 60–49 | 55.05% |
| N@m31234 vs King | 61–40 | 60.40% |
| N@m31234 vs Kazuya | 53–42 | 55.79% |
| N@m31234 vs Dragunov | 36–48 | 42.86% |
| N@m31234 vs Steve | 51–28 | 64.56% |
| N@m31234 vs Lili | 43–26 | 62.32% |
| N@m31234 vs Paul | 27–38 | 41.54% |
| N@m31234 vs Heihachi | 30–34 | 46.88% |
| N@m31234 vs Nina | 30–27 | 52.63% |
| N@m31234 vs Bryan | 22–31 | 41.51% |
| N@m31234 vs Jun | 31–21 | 59.62% |
| N@m31234 vs Law | 31–17 | 64.58% |
| N@m31234 vs Claudio | 32–15 | 68.09% |
| N@m31234 vs Lidia | 24–20 | 54.55% |
| N@m31234 vs Hwoarang | 22–16 | 57.89% |
| N@m31234 vs Alisa | 17–20 | 45.95% |
| N@m31234 vs Xiaoyu | 24–11 | 68.57% |
| N@m31234 vs Victor | 23–11 | 67.65% |
| N@m31234 vs Yoshimitsu | 14–18–1 | 43.75% |
| N@m31234 vs Devil Jin | 16–13 | 55.17% |
| N@m31234 vs Lee | 7–22 | 24.14% |
| N@m31234 vs Asuka | 13–15 | 46.43% |
| N@m31234 vs Azucena | 15–13 | 53.57% |
| N@m31234 vs Feng | 13–13 | 50.00% |
| N@m31234 vs Lars | 12–13 | 48.00% |
| N@m31234 vs Leroy | 17–8 | 68.00% |
| N@m31234 vs Eddy | 15–10 | 60.00% |
| N@m31234 vs Armor King | 12–11 | 52.17% |
| N@m31234 vs Fahkumram | 16–6 | 72.73% |
| N@m31234 vs Shaheen | 12–7 | 63.16% |
| N@m31234 vs Kuma | 12–6 | 66.67% |
| N@m31234 vs Jack-8 | 8–7 | 53.33% |
| N@m31234 vs Miary Zo | 6–8 | 42.86% |
| N@m31234 vs Leo | 5–7 | 41.67% |
| N@m31234 vs Clive | 6–6 | 50.00% |
| N@m31234 vs Zafina | 1–5 | 16.67% |
| N@m31234 vs Raven | 2–2 | 50.00% |
| N@m31234 vs Panda | 2–1 | 66.67% |
| N@m31234 vs Anna | 0–3 | 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.