| johnmcclane vs Jin | 50–61 | 45.05% |
| johnmcclane vs Bryan | 53–49 | 51.96% |
| johnmcclane vs Kazuya | 55–43 | 56.12% |
| johnmcclane vs Reina | 40–52 | 43.48% |
| johnmcclane vs King | 42–44 | 48.84% |
| johnmcclane vs Steve | 43–37 | 53.75% |
| johnmcclane vs Dragunov | 38–32 | 54.29% |
| johnmcclane vs Yoshimitsu | 38–27 | 58.46% |
| johnmcclane vs Heihachi | 30–35 | 46.15% |
| johnmcclane vs Lili | 25–28 | 47.17% |
| johnmcclane vs Law | 21–31 | 40.38% |
| johnmcclane vs Azucena | 21–31 | 40.38% |
| johnmcclane vs Raven | 32–20 | 61.54% |
| johnmcclane vs Paul | 30–19 | 61.22% |
| johnmcclane vs Hwoarang | 23–23 | 50.00% |
| johnmcclane vs Jun | 24–21 | 53.33% |
| johnmcclane vs Xiaoyu | 24–18 | 57.14% |
| johnmcclane vs Asuka | 25–17 | 59.52% |
| johnmcclane vs Lee | 15–26 | 36.59% |
| johnmcclane vs Lars | 20–20 | 50.00% |
| johnmcclane vs Victor | 19–21 | 47.50% |
| johnmcclane vs Eddy | 20–19 | 51.28% |
| johnmcclane vs Lidia | 14–18 | 43.75% |
| johnmcclane vs Leo | 13–14 | 48.15% |
| johnmcclane vs Feng | 9–14 | 39.13% |
| johnmcclane vs Alisa | 11–12 | 47.83% |
| johnmcclane vs Jack-8 | 10–12 | 45.45% |
| johnmcclane vs Devil Jin | 9–13 | 40.91% |
| johnmcclane vs Leroy | 11–11 | 50.00% |
| johnmcclane vs Nina | 11–10 | 52.38% |
| johnmcclane vs Claudio | 8–9 | 47.06% |
| johnmcclane vs Shaheen | 6–7 | 46.15% |
| johnmcclane vs Zafina | 3–8 | 27.27% |
| johnmcclane vs Kuma | 7–1 | 87.50% |
| johnmcclane vs Anna | 1–4 | 20.00% |
| johnmcclane vs Clive | 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.