| technokitty909 vs King | 7–3 | 70.00% |
| technokitty909 vs Jin | 3–3 | 50.00% |
| technokitty909 vs Asuka | 2–4 | 33.33% |
| technokitty909 vs Kazuya | 1–4 | 20.00% |
| technokitty909 vs Azucena | 2–3 | 40.00% |
| technokitty909 vs Heihachi | 4–1 | 80.00% |
| technokitty909 vs Leroy | 2–2 | 50.00% |
| technokitty909 vs Hwoarang | 1–2 | 33.33% |
| technokitty909 vs Steve | 3–0 | 100.00% |
| technokitty909 vs Alisa | 2–1 | 66.67% |
| technokitty909 vs Nina | 2–1 | 66.67% |
| technokitty909 vs Raven | 2–1 | 66.67% |
| technokitty909 vs Lidia | 0–3 | 0.00% |
| technokitty909 vs Devil Jin | 2–0 | 100.00% |
| technokitty909 vs Lili | 2–0 | 100.00% |
| technokitty909 vs Dragunov | 0–2 | 0.00% |
| technokitty909 vs Claudio | 0–2 | 0.00% |
| technokitty909 vs Law | 1–0 | 100.00% |
| technokitty909 vs Lee | 1–0 | 100.00% |
| technokitty909 vs Clive | 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.