| John McClane vs Jin | 14–10 | 58.33% |
| John McClane vs King | 12–8 | 60.00% |
| John McClane vs Paul | 8–9 | 47.06% |
| John McClane vs Xiaoyu | 4–11 | 26.67% |
| John McClane vs Victor | 8–7 | 53.33% |
| John McClane vs Kazuya | 6–8 | 42.86% |
| John McClane vs Lidia | 7–7 | 50.00% |
| John McClane vs Heihachi | 8–6 | 57.14% |
| John McClane vs Steve | 9–3 | 75.00% |
| John McClane vs Lili | 8–4 | 66.67% |
| John McClane vs Nina | 5–6 | 45.45% |
| John McClane vs Asuka | 7–3 | 70.00% |
| John McClane vs Feng | 3–6 | 33.33% |
| John McClane vs Dragunov | 3–6 | 33.33% |
| John McClane vs Hwoarang | 3–5 | 37.50% |
| John McClane vs Devil Jin | 4–4 | 50.00% |
| John McClane vs Reina | 6–2 | 75.00% |
| John McClane vs Clive | 2–6 | 25.00% |
| John McClane vs Bryan | 0–7 | 0.00% |
| John McClane vs Eddy | 4–3 | 57.14% |
| John McClane vs Claudio | 4–2 | 66.67% |
| John McClane vs Yoshimitsu | 1–3 | 25.00% |
| John McClane vs Panda | 4–0 | 100.00% |
| John McClane vs Zafina | 2–2 | 50.00% |
| John McClane vs Leroy | 3–0 | 100.00% |
| John McClane vs Azucena | 3–0 | 100.00% |
| John McClane vs Raven | 2–1 | 66.67% |
| John McClane vs Leo | 0–2 | 0.00% |
| John McClane vs Lee | 2–0 | 100.00% |
| John McClane vs Kuma | 0–2 | 0.00% |
| John McClane vs Anna | 2–0 | 100.00% |
| John McClane vs Fahkumram | 0–2 | 0.00% |
| John McClane vs Lars | 1–0 | 100.00% |
| John McClane vs Jun | 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.