| jntcrash vs King | 29–11 | 72.50% |
| jntcrash vs Asuka | 18–20 | 47.37% |
| jntcrash vs Kazuya | 18–17 | 51.43% |
| jntcrash vs Steve | 20–12 | 62.50% |
| jntcrash vs Eddy | 14–16 | 46.67% |
| jntcrash vs Jin | 15–13 | 53.57% |
| jntcrash vs Clive | 8–16 | 33.33% |
| jntcrash vs Hwoarang | 10–12 | 45.45% |
| jntcrash vs Reina | 12–8 | 60.00% |
| jntcrash vs Heihachi | 5–15 | 25.00% |
| jntcrash vs Paul | 9–10 | 47.37% |
| jntcrash vs Lidia | 12–7 | 63.16% |
| jntcrash vs Xiaoyu | 8–10 | 44.44% |
| jntcrash vs Feng | 5–9 | 35.71% |
| jntcrash vs Bryan | 6–7 | 46.15% |
| jntcrash vs Dragunov | 10–3 | 76.92% |
| jntcrash vs Alisa | 6–7 | 46.15% |
| jntcrash vs Jun | 7–6 | 53.85% |
| jntcrash vs Leroy | 3–9 | 25.00% |
| jntcrash vs Nina | 9–2 | 81.82% |
| jntcrash vs Azucena | 6–4 | 60.00% |
| jntcrash vs Jack-8 | 8–1 | 88.89% |
| jntcrash vs Lili | 8–1 | 88.89% |
| jntcrash vs Law | 5–2 | 71.43% |
| jntcrash vs Yoshimitsu | 5–2 | 71.43% |
| jntcrash vs Leo | 4–3 | 57.14% |
| jntcrash vs Lars | 5–2 | 71.43% |
| jntcrash vs Victor | 3–3 | 50.00% |
| jntcrash vs Armor King | 2–4 | 33.33% |
| jntcrash vs Devil Jin | 2–2 | 50.00% |
| jntcrash vs Shaheen | 3–1 | 75.00% |
| jntcrash vs Miary Zo | 2–1 | 66.67% |
| jntcrash vs Kuma | 2–0 | 100.00% |
| jntcrash vs Panda | 0–2 | 0.00% |
| jntcrash vs Anna | 0–2 | 0.00% |
| jntcrash vs Claudio | 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.