| Paker1922 vs Jin | 2–7 | 22.22% |
| Paker1922 vs Xiaoyu | 0–6 | 0.00% |
| Paker1922 vs Reina | 1–5 | 16.67% |
| Paker1922 vs King | 1–4 | 20.00% |
| Paker1922 vs Claudio | 1–4 | 20.00% |
| Paker1922 vs Leo | 0–4 | 0.00% |
| Paker1922 vs Fahkumram | 0–4 | 0.00% |
| Paker1922 vs Lili | 0–3 | 0.00% |
| Paker1922 vs Alisa | 0–3 | 0.00% |
| Paker1922 vs Zafina | 2–1 | 66.67% |
| Paker1922 vs Lidia | 2–1 | 66.67% |
| Paker1922 vs Law | 0–2 | 0.00% |
| Paker1922 vs Hwoarang | 0–2 | 0.00% |
| Paker1922 vs Kazuya | 0–2 | 0.00% |
| Paker1922 vs Steve | 0–2 | 0.00% |
| Paker1922 vs Shaheen | 0–2 | 0.00% |
| Paker1922 vs Yoshimitsu | 0–1 | 0.00% |
| Paker1922 vs Heihachi | 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.