| whoms jdn vs Kazuya | 87–70 | 55.41% |
| whoms jdn vs Bryan | 69–83 | 45.39% |
| whoms jdn vs Heihachi | 95–56 | 62.91% |
| whoms jdn vs King | 73–66 | 52.52% |
| whoms jdn vs Steve | 68–68 | 50.00% |
| whoms jdn vs Armor King | 63–49 | 56.25% |
| whoms jdn vs Jin | 48–48 | 50.00% |
| whoms jdn vs Dragunov | 47–36 | 56.63% |
| whoms jdn vs Reina | 37–37 | 50.00% |
| whoms jdn vs Law | 29–41–1 | 41.43% |
| whoms jdn vs Yoshimitsu | 28–37 | 43.08% |
| whoms jdn vs Lee | 28–37 | 43.08% |
| whoms jdn vs Paul | 38–26 | 59.38% |
| whoms jdn vs Hwoarang | 27–27 | 50.00% |
| whoms jdn vs Lili | 19–26 | 42.22% |
| whoms jdn vs Devil Jin | 18–25 | 41.86% |
| whoms jdn vs Feng | 26–17 | 60.47% |
| whoms jdn vs Jack-8 | 16–22 | 42.11% |
| whoms jdn vs Lars | 9–18 | 33.33% |
| whoms jdn vs Nina | 7–20 | 25.93% |
| whoms jdn vs Kuma | 15–11 | 57.69% |
| whoms jdn vs Xiaoyu | 10–13 | 43.48% |
| whoms jdn vs Claudio | 11–12 | 47.83% |
| whoms jdn vs Azucena | 10–10 | 50.00% |
| whoms jdn vs Clive | 9–11 | 45.00% |
| whoms jdn vs Jun | 10–9 | 52.63% |
| whoms jdn vs Victor | 11–8 | 57.89% |
| whoms jdn vs Shaheen | 10–7 | 58.82% |
| whoms jdn vs Alisa | 9–7 | 56.25% |
| whoms jdn vs Leroy | 10–5 | 66.67% |
| whoms jdn vs Lidia | 8–6 | 57.14% |
| whoms jdn vs Fahkumram | 3–10 | 23.08% |
| whoms jdn vs Eddy | 4–8 | 33.33% |
| whoms jdn vs Asuka | 0–11 | 0.00% |
| whoms jdn vs Leo | 2–8 | 20.00% |
| whoms jdn vs Raven | 5–4 | 55.56% |
| whoms jdn vs Zafina | 2–1 | 66.67% |
| whoms jdn vs Panda | 0–2 | 0.00% |
| whoms jdn vs Anna | 0–2 | 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.