| 1kG32 vs Paul | 2–4 | 33.33% |
| 1kG32 vs Jin | 4–2 | 66.67% |
| 1kG32 vs Bryan | 1–5 | 16.67% |
| 1kG32 vs Alisa | 2–4 | 33.33% |
| 1kG32 vs Leroy | 4–2 | 66.67% |
| 1kG32 vs Xiaoyu | 1–3 | 25.00% |
| 1kG32 vs King | 0–3 | 0.00% |
| 1kG32 vs Yoshimitsu | 0–3 | 0.00% |
| 1kG32 vs Kazuya | 0–3 | 0.00% |
| 1kG32 vs Asuka | 0–3 | 0.00% |
| 1kG32 vs Devil Jin | 0–3 | 0.00% |
| 1kG32 vs Reina | 2–1 | 66.67% |
| 1kG32 vs Eddy | 1–2 | 33.33% |
| 1kG32 vs Steve | 0–2 | 0.00% |
| 1kG32 vs Lili | 2–0 | 100.00% |
| 1kG32 vs Kuma | 2–0 | 100.00% |
| 1kG32 vs Zafina | 1–1 | 50.00% |
| 1kG32 vs Victor | 2–0 | 100.00% |
| 1kG32 vs Raven | 2–0 | 100.00% |
| 1kG32 vs Heihachi | 0–2 | 0.00% |
| 1kG32 vs Jack-8 | 0–1 | 0.00% |
| 1kG32 vs Dragunov | 0–1 | 0.00% |
| 1kG32 vs Lars | 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.