| jaeyoung vs Hwoarang | 53–36 | 59.55% |
| jaeyoung vs Reina | 37–31 | 54.41% |
| jaeyoung vs Dragunov | 30–33 | 47.62% |
| jaeyoung vs Paul | 23–30 | 43.40% |
| jaeyoung vs Kazuya | 15–31 | 32.61% |
| jaeyoung vs King | 17–26 | 39.53% |
| jaeyoung vs Jin | 17–23 | 42.50% |
| jaeyoung vs Asuka | 15–20 | 42.86% |
| jaeyoung vs Lili | 17–18 | 48.57% |
| jaeyoung vs Azucena | 19–11 | 63.33% |
| jaeyoung vs Victor | 15–15 | 50.00% |
| jaeyoung vs Bryan | 11–16 | 40.74% |
| jaeyoung vs Law | 9–17 | 34.62% |
| jaeyoung vs Steve | 7–16 | 30.43% |
| jaeyoung vs Devil Jin | 14–9 | 60.87% |
| jaeyoung vs Lars | 6–15 | 28.57% |
| jaeyoung vs Nina | 10–11 | 47.62% |
| jaeyoung vs Eddy | 6–15 | 28.57% |
| jaeyoung vs Jun | 10–10 | 50.00% |
| jaeyoung vs Clive | 5–11 | 31.25% |
| jaeyoung vs Yoshimitsu | 6–9 | 40.00% |
| jaeyoung vs Leroy | 10–4 | 71.43% |
| jaeyoung vs Alisa | 7–6 | 53.85% |
| jaeyoung vs Feng | 3–9 | 25.00% |
| jaeyoung vs Xiaoyu | 5–6 | 45.45% |
| jaeyoung vs Claudio | 6–4 | 60.00% |
| jaeyoung vs Zafina | 7–1 | 87.50% |
| jaeyoung vs Jack-8 | 2–5 | 28.57% |
| jaeyoung vs Leo | 3–4 | 42.86% |
| jaeyoung vs Kuma | 3–4 | 42.86% |
| jaeyoung vs Heihachi | 4–3 | 57.14% |
| jaeyoung vs Lee | 4–2 | 66.67% |
| jaeyoung vs Raven | 4–0 | 100.00% |
| jaeyoung vs Lidia | 2–2 | 50.00% |
| jaeyoung vs Panda | 1–2 | 33.33% |
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.