| NjoiJashi vs King | 10–11 | 47.62% |
| NjoiJashi vs Steve | 11–8 | 57.89% |
| NjoiJashi vs Claudio | 9–8 | 52.94% |
| NjoiJashi vs Reina | 8–9 | 47.06% |
| NjoiJashi vs Kazuya | 4–11 | 26.67% |
| NjoiJashi vs Heihachi | 9–4 | 69.23% |
| NjoiJashi vs Hwoarang | 6–6 | 50.00% |
| NjoiJashi vs Asuka | 6–6 | 50.00% |
| NjoiJashi vs Jun | 6–6 | 50.00% |
| NjoiJashi vs Law | 7–4 | 63.64% |
| NjoiJashi vs Lili | 7–4 | 63.64% |
| NjoiJashi vs Dragunov | 4–7 | 36.36% |
| NjoiJashi vs Eddy | 4–7 | 36.36% |
| NjoiJashi vs Azucena | 4–6 | 40.00% |
| NjoiJashi vs Lidia | 6–4 | 60.00% |
| NjoiJashi vs Fahkumram | 6–4 | 60.00% |
| NjoiJashi vs Xiaoyu | 4–5 | 44.44% |
| NjoiJashi vs Lars | 5–3 | 62.50% |
| NjoiJashi vs Nina | 6–2 | 75.00% |
| NjoiJashi vs Lee | 3–4 | 42.86% |
| NjoiJashi vs Alisa | 2–4 | 33.33% |
| NjoiJashi vs Yoshimitsu | 1–4 | 20.00% |
| NjoiJashi vs Jin | 2–3 | 40.00% |
| NjoiJashi vs Raven | 3–2 | 60.00% |
| NjoiJashi vs Shaheen | 2–2 | 50.00% |
| NjoiJashi vs Victor | 2–2 | 50.00% |
| NjoiJashi vs Feng | 2–1 | 66.67% |
| NjoiJashi vs Leroy | 1–2 | 33.33% |
| NjoiJashi vs Paul | 0–2 | 0.00% |
| NjoiJashi vs Bryan | 0–2 | 0.00% |
| NjoiJashi vs Devil Jin | 1–1 | 50.00% |
| NjoiJashi vs Panda | 0–2 | 0.00% |
| NjoiJashi vs Anna | 2–0 | 100.00% |
| NjoiJashi vs Jack-8 | 0–1 | 0.00% |
| NjoiJashi vs Kuma | 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.