| Jjankens vs Armor King | 62–70 | 46.97% |
| Jjankens vs Jin | 64–44 | 59.26% |
| Jjankens vs Hwoarang | 57–48 | 54.29% |
| Jjankens vs Steve | 45–59 | 43.27% |
| Jjankens vs King | 46–54 | 46.00% |
| Jjankens vs Kazuya | 42–43 | 49.41% |
| Jjankens vs Law | 31–46 | 40.26% |
| Jjankens vs Heihachi | 35–41 | 46.05% |
| Jjankens vs Dragunov | 29–37 | 43.94% |
| Jjankens vs Bryan | 27–37 | 42.19% |
| Jjankens vs Reina | 29–30 | 49.15% |
| Jjankens vs Paul | 25–31 | 44.64% |
| Jjankens vs Lee | 22–33 | 40.00% |
| Jjankens vs Lili | 30–21 | 58.82% |
| Jjankens vs Fahkumram | 29–20 | 59.18% |
| Jjankens vs Jun | 22–20 | 52.38% |
| Jjankens vs Yoshimitsu | 13–26 | 33.33% |
| Jjankens vs Xiaoyu | 20–18 | 52.63% |
| Jjankens vs Feng | 21–16 | 56.76% |
| Jjankens vs Azucena | 12–24 | 33.33% |
| Jjankens vs Miary Zo | 15–20 | 42.86% |
| Jjankens vs Eddy | 17–17 | 50.00% |
| Jjankens vs Lars | 14–17 | 45.16% |
| Jjankens vs Nina | 16–15 | 51.61% |
| Jjankens vs Lidia | 11–20 | 35.48% |
| Jjankens vs Raven | 15–11 | 57.69% |
| Jjankens vs Asuka | 14–11 | 56.00% |
| Jjankens vs Leo | 11–11 | 50.00% |
| Jjankens vs Victor | 11–11 | 50.00% |
| Jjankens vs Devil Jin | 5–16 | 23.81% |
| Jjankens vs Alisa | 11–9 | 55.00% |
| Jjankens vs Jack-8 | 9–9 | 50.00% |
| Jjankens vs Anna | 9–6 | 60.00% |
| Jjankens vs Claudio | 3–10 | 23.08% |
| Jjankens vs Kuma | 4–9 | 30.77% |
| Jjankens vs Leroy | 5–8 | 38.46% |
| Jjankens vs Clive | 8–5 | 61.54% |
| Jjankens vs Zafina | 4–3 | 57.14% |
| Jjankens vs Panda | 3–2 | 60.00% |
| Jjankens vs Shaheen | 3–0 | 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.