| n0m1ght vs Jin | 34–12 | 73.91% |
| n0m1ght vs Law | 22–15 | 59.46% |
| n0m1ght vs Kazuya | 22–15 | 59.46% |
| n0m1ght vs Dragunov | 21–12 | 63.64% |
| n0m1ght vs King | 20–10 | 66.67% |
| n0m1ght vs Yoshimitsu | 14–11 | 56.00% |
| n0m1ght vs Hwoarang | 14–11 | 56.00% |
| n0m1ght vs Bryan | 14–10 | 58.33% |
| n0m1ght vs Lili | 15–9 | 62.50% |
| n0m1ght vs Devil Jin | 12–11 | 52.17% |
| n0m1ght vs Heihachi | 11–9 | 55.00% |
| n0m1ght vs Alisa | 9–7 | 56.25% |
| n0m1ght vs Nina | 8–8 | 50.00% |
| n0m1ght vs Lee | 9–6 | 60.00% |
| n0m1ght vs Clive | 3–12 | 20.00% |
| n0m1ght vs Jun | 8–6 | 57.14% |
| n0m1ght vs Xiaoyu | 8–5 | 61.54% |
| n0m1ght vs Asuka | 11–2 | 84.62% |
| n0m1ght vs Leo | 2–10 | 16.67% |
| n0m1ght vs Lars | 5–7 | 41.67% |
| n0m1ght vs Reina | 6–6 | 50.00% |
| n0m1ght vs Paul | 9–2 | 81.82% |
| n0m1ght vs Feng | 7–4 | 63.64% |
| n0m1ght vs Victor | 5–5 | 50.00% |
| n0m1ght vs Shaheen | 4–5 | 44.44% |
| n0m1ght vs Jack-8 | 4–4 | 50.00% |
| n0m1ght vs Claudio | 4–3 | 57.14% |
| n0m1ght vs Raven | 4–2 | 66.67% |
| n0m1ght vs Eddy | 2–4 | 33.33% |
| n0m1ght vs Kuma | 2–3 | 40.00% |
| n0m1ght vs Zafina | 2–3 | 40.00% |
| n0m1ght vs Leroy | 3–2 | 60.00% |
| n0m1ght vs Lidia | 2–3 | 40.00% |
| n0m1ght vs Azucena | 2–2 | 50.00% |
| n0m1ght vs Anna | 2–2 | 50.00% |
| n0m1ght vs Steve | 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.