| nlejit vs Jin | 14–10 | 58.33% |
| nlejit vs Clive | 12–9 | 57.14% |
| nlejit vs Reina | 11–7 | 61.11% |
| nlejit vs Dragunov | 9–7 | 56.25% |
| nlejit vs King | 6–9 | 40.00% |
| nlejit vs Kazuya | 9–4 | 69.23% |
| nlejit vs Lili | 8–4 | 66.67% |
| nlejit vs Hwoarang | 6–3 | 66.67% |
| nlejit vs Lars | 4–5 | 44.44% |
| nlejit vs Xiaoyu | 5–3 | 62.50% |
| nlejit vs Paul | 3–4 | 42.86% |
| nlejit vs Law | 5–2 | 71.43% |
| nlejit vs Devil Jin | 3–4 | 42.86% |
| nlejit vs Feng | 2–5 | 28.57% |
| nlejit vs Bryan | 3–3 | 50.00% |
| nlejit vs Steve | 6–0 | 100.00% |
| nlejit vs Asuka | 2–4 | 33.33% |
| nlejit vs Lee | 2–4 | 33.33% |
| nlejit vs Yoshimitsu | 1–4 | 20.00% |
| nlejit vs Shaheen | 1–4 | 20.00% |
| nlejit vs Victor | 3–2 | 60.00% |
| nlejit vs Claudio | 4–0 | 100.00% |
| nlejit vs Eddy | 2–2 | 50.00% |
| nlejit vs Armor King | 2–2 | 50.00% |
| nlejit vs Zafina | 1–2 | 33.33% |
| nlejit vs Azucena | 2–1 | 66.67% |
| nlejit vs Lidia | 3–0 | 100.00% |
| nlejit vs Leo | 2–0 | 100.00% |
| nlejit vs Nina | 0–2 | 0.00% |
| nlejit vs Panda | 2–0 | 100.00% |
| nlejit vs Leroy | 2–0 | 100.00% |
| nlejit vs Jun | 1–1 | 50.00% |
| nlejit vs Raven | 2–0 | 100.00% |
| nlejit vs Heihachi | 2–0 | 100.00% |
| nlejit vs Alisa | 1–0 | 100.00% |
| nlejit vs Anna | 1–0 | 100.00% |
| nlejit vs Miary Zo | 1–0 | 100.00% |
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.