| JSkey vs Hwoarang | 22–22 | 50.00% |
| JSkey vs Reina | 16–17 | 48.48% |
| JSkey vs King | 8–24 | 25.00% |
| JSkey vs Steve | 16–14 | 53.33% |
| JSkey vs Kazuya | 7–20 | 25.93% |
| JSkey vs Jin | 12–13 | 48.00% |
| JSkey vs Law | 10–13 | 43.48% |
| JSkey vs Bryan | 8–15 | 34.78% |
| JSkey vs Lili | 7–16 | 30.43% |
| JSkey vs Azucena | 8–14 | 36.36% |
| JSkey vs Miary Zo | 10–10–1 | 50.00% |
| JSkey vs Jun | 14–5 | 73.68% |
| JSkey vs Eddy | 11–6 | 64.71% |
| JSkey vs Paul | 6–10 | 37.50% |
| JSkey vs Yoshimitsu | 7–5 | 58.33% |
| JSkey vs Asuka | 5–7 | 41.67% |
| JSkey vs Lars | 8–3 | 72.73% |
| JSkey vs Alisa | 3–7 | 30.00% |
| JSkey vs Lee | 7–3 | 70.00% |
| JSkey vs Victor | 2–8 | 20.00% |
| JSkey vs Feng | 5–4 | 55.56% |
| JSkey vs Dragunov | 2–7 | 22.22% |
| JSkey vs Kuma | 6–3 | 66.67% |
| JSkey vs Devil Jin | 2–6 | 25.00% |
| JSkey vs Leo | 6–2 | 75.00% |
| JSkey vs Nina | 4–4 | 50.00% |
| JSkey vs Heihachi | 2–6 | 25.00% |
| JSkey vs Claudio | 4–3 | 57.14% |
| JSkey vs Leroy | 3–3 | 50.00% |
| JSkey vs Armor King | 3–3 | 50.00% |
| JSkey vs Raven | 1–4 | 20.00% |
| JSkey vs Fahkumram | 0–5 | 0.00% |
| JSkey vs Xiaoyu | 1–2 | 33.33% |
| JSkey vs Lidia | 2–1 | 66.67% |
| JSkey vs Anna | 0–3 | 0.00% |
| JSkey vs Shaheen | 2–0 | 100.00% |
| JSkey vs Clive | 0–2 | 0.00% |
| JSkey vs Panda | 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.