| stylah jo3y vs Bryan | 22–2 | 91.67% |
| stylah jo3y vs Hwoarang | 14–7 | 66.67% |
| stylah jo3y vs King | 11–6 | 64.71% |
| stylah jo3y vs Jin | 9–6 | 60.00% |
| stylah jo3y vs Kazuya | 13–0–1 | 100.00% |
| stylah jo3y vs Paul | 7–3 | 70.00% |
| stylah jo3y vs Steve | 7–3 | 70.00% |
| stylah jo3y vs Reina | 6–3 | 66.67% |
| stylah jo3y vs Dragunov | 7–1 | 87.50% |
| stylah jo3y vs Azucena | 8–0 | 100.00% |
| stylah jo3y vs Law | 7–0 | 100.00% |
| stylah jo3y vs Jack-8 | 5–2 | 71.43% |
| stylah jo3y vs Feng | 6–0 | 100.00% |
| stylah jo3y vs Lili | 5–1 | 83.33% |
| stylah jo3y vs Lars | 6–0 | 100.00% |
| stylah jo3y vs Devil Jin | 5–0 | 100.00% |
| stylah jo3y vs Lidia | 3–2 | 60.00% |
| stylah jo3y vs Claudio | 3–1 | 75.00% |
| stylah jo3y vs Yoshimitsu | 3–0 | 100.00% |
| stylah jo3y vs Lee | 3–0 | 100.00% |
| stylah jo3y vs Jun | 2–1 | 66.67% |
| stylah jo3y vs Heihachi | 2–1 | 66.67% |
| stylah jo3y vs Fahkumram | 2–1 | 66.67% |
| stylah jo3y vs Armor King | 1–2 | 33.33% |
| stylah jo3y vs Xiaoyu | 2–0 | 100.00% |
| stylah jo3y vs Asuka | 2–0 | 100.00% |
| stylah jo3y vs Nina | 2–0 | 100.00% |
| stylah jo3y vs Eddy | 2–0 | 100.00% |
| stylah jo3y vs Anna | 2–0 | 100.00% |
| stylah jo3y vs Miary Zo | 0–2 | 0.00% |
| stylah jo3y vs Leo | 0–1 | 0.00% |
| stylah jo3y vs Alisa | 1–0 | 100.00% |
| stylah jo3y vs Raven | 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.