| goja vs Kazuya | 2–4 | 33.33% |
| goja vs Leo | 2–4 | 33.33% |
| goja vs Heihachi | 3–2 | 60.00% |
| goja vs King | 2–2 | 50.00% |
| goja vs Jin | 2–2 | 50.00% |
| goja vs Dragunov | 1–3 | 25.00% |
| goja vs Law | 1–2 | 33.33% |
| goja vs Bryan | 2–1 | 66.67% |
| goja vs Steve | 2–1 | 66.67% |
| goja vs Asuka | 1–2 | 33.33% |
| goja vs Feng | 2–1 | 66.67% |
| goja vs Lars | 2–1 | 66.67% |
| goja vs Alisa | 1–2 | 33.33% |
| goja vs Reina | 1–2 | 33.33% |
| goja vs Xiaoyu | 2–0 | 100.00% |
| goja vs Lili | 0–2 | 0.00% |
| goja vs Victor | 0–2 | 0.00% |
| goja vs Lidia | 0–2 | 0.00% |
| goja vs Devil Jin | 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.