| john vs Jin | 2–11 | 15.38% |
| john vs Law | 3–8 | 27.27% |
| john vs Eddy | 1–9 | 10.00% |
| john vs Yoshimitsu | 4–5 | 44.44% |
| john vs Hwoarang | 1–6 | 14.29% |
| john vs Leroy | 0–6 | 0.00% |
| john vs Azucena | 1–5 | 16.67% |
| john vs Lars | 1–4 | 20.00% |
| john vs Nina | 1–4 | 20.00% |
| john vs Reina | 1–3–1 | 25.00% |
| john vs King | 0–4 | 0.00% |
| john vs Kazuya | 0–4 | 0.00% |
| john vs Steve | 0–4 | 0.00% |
| john vs Lili | 2–2 | 50.00% |
| john vs Leo | 0–4 | 0.00% |
| john vs Fahkumram | 1–3 | 25.00% |
| john vs Armor King | 0–4 | 0.00% |
| john vs Xiaoyu | 1–2 | 33.33% |
| john vs Bryan | 1–2 | 33.33% |
| john vs Feng | 1–2 | 33.33% |
| john vs Dragunov | 0–3 | 0.00% |
| john vs Lee | 2–1 | 66.67% |
| john vs Lidia | 0–3 | 0.00% |
| john vs Jack-8 | 2–0 | 100.00% |
| john vs Asuka | 0–2 | 0.00% |
| john vs Devil Jin | 1–1 | 50.00% |
| john vs Alisa | 0–2 | 0.00% |
| john vs Claudio | 1–1 | 50.00% |
| john vs Shaheen | 0–2 | 0.00% |
| john vs Kuma | 0–2 | 0.00% |
| john vs Victor | 2–0 | 100.00% |
| john vs Heihachi | 0–2 | 0.00% |
| john vs Clive | 0–2 | 0.00% |
| john vs Anna | 2–0 | 100.00% |
| john vs Miary Zo | 0–2 | 0.00% |
| john vs Paul | 0–1 | 0.00% |
| john vs Panda | 0–1 | 0.00% |
| john vs Zafina | 1–0 | 100.00% |
| john vs Jun | 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.