| John vs Jin | 16–54 | 22.86% |
| John vs Hwoarang | 16–44 | 26.67% |
| John vs Steve | 8–50 | 13.79% |
| John vs King | 16–39 | 29.09% |
| John vs Law | 15–38 | 28.30% |
| John vs Reina | 14–34 | 29.17% |
| John vs Yoshimitsu | 14–30 | 31.82% |
| John vs Lili | 14–28 | 33.33% |
| John vs Clive | 5–29 | 14.71% |
| John vs Victor | 2–31 | 6.06% |
| John vs Dragunov | 3–28 | 9.68% |
| John vs Jun | 5–26 | 16.13% |
| John vs Devil Jin | 7–23 | 23.33% |
| John vs Kazuya | 3–26 | 10.34% |
| John vs Lidia | 10–17 | 37.04% |
| John vs Heihachi | 10–16 | 38.46% |
| John vs Azucena | 6–19 | 24.00% |
| John vs Alisa | 4–20 | 16.67% |
| John vs Eddy | 1–21 | 4.55% |
| John vs Xiaoyu | 3–18 | 14.29% |
| John vs Bryan | 5–16 | 23.81% |
| John vs Lars | 7–12 | 36.84% |
| John vs Asuka | 2–16 | 11.11% |
| John vs Leroy | 8–9 | 47.06% |
| John vs Raven | 3–14 | 17.65% |
| John vs Claudio | 2–14 | 12.50% |
| John vs Nina | 1–14 | 6.67% |
| John vs Paul | 3–9 | 25.00% |
| John vs Kuma | 2–10 | 16.67% |
| John vs Feng | 3–7 | 30.00% |
| John vs Miary Zo | 6–4 | 60.00% |
| John vs Leo | 2–7 | 22.22% |
| John vs Shaheen | 2–7 | 22.22% |
| John vs Lee | 3–6 | 33.33% |
| John vs Fahkumram | 0–6 | 0.00% |
| John vs Anna | 1–4 | 20.00% |
| John vs Jack-8 | 2–2 | 50.00% |
| John vs Zafina | 0–4 | 0.00% |
| John vs Panda | 0–1 | 0.00% |
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.