| Jonjon vs Bryan | 22–40 | 35.48% |
| Jonjon vs Jin | 23–35 | 39.66% |
| Jonjon vs Fahkumram | 19–37 | 33.93% |
| Jonjon vs King | 18–27 | 40.00% |
| Jonjon vs Hwoarang | 16–26 | 38.10% |
| Jonjon vs Kazuya | 20–18 | 52.63% |
| Jonjon vs Law | 10–21 | 32.26% |
| Jonjon vs Dragunov | 14–16 | 46.67% |
| Jonjon vs Steve | 16–13 | 55.17% |
| Jonjon vs Yoshimitsu | 14–14 | 50.00% |
| Jonjon vs Azucena | 10–13 | 43.48% |
| Jonjon vs Clive | 10–9 | 52.63% |
| Jonjon vs Nina | 9–9 | 50.00% |
| Jonjon vs Heihachi | 7–11 | 38.89% |
| Jonjon vs Reina | 9–8 | 52.94% |
| Jonjon vs Devil Jin | 8–8 | 50.00% |
| Jonjon vs Feng | 8–8 | 50.00% |
| Jonjon vs Victor | 3–11 | 21.43% |
| Jonjon vs Eddy | 5–9 | 35.71% |
| Jonjon vs Jack-8 | 0–13 | 0.00% |
| Jonjon vs Jun | 4–9 | 30.77% |
| Jonjon vs Lidia | 7–6 | 53.85% |
| Jonjon vs Paul | 3–9 | 25.00% |
| Jonjon vs Asuka | 6–6 | 50.00% |
| Jonjon vs Leo | 4–7 | 36.36% |
| Jonjon vs Raven | 5–6 | 45.45% |
| Jonjon vs Xiaoyu | 2–8 | 20.00% |
| Jonjon vs Lars | 3–7 | 30.00% |
| Jonjon vs Lee | 4–6 | 40.00% |
| Jonjon vs Lili | 3–5 | 37.50% |
| Jonjon vs Alisa | 1–7 | 12.50% |
| Jonjon vs Kuma | 1–7 | 12.50% |
| Jonjon vs Claudio | 3–4 | 42.86% |
| Jonjon vs Shaheen | 1–6 | 14.29% |
| Jonjon vs Leroy | 2–5 | 28.57% |
| Jonjon vs Anna | 2–4 | 33.33% |
| Jonjon vs Zafina | 1–2 | 33.33% |
| Jonjon vs Panda | 1–1 | 50.00% |
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.