| Ximxn vs Jin | 34–35 | 49.28% |
| Ximxn vs Kazuya | 17–32 | 34.69% |
| Ximxn vs Steve | 20–24 | 45.45% |
| Ximxn vs King | 11–28 | 28.21% |
| Ximxn vs Lili | 16–15 | 51.61% |
| Ximxn vs Dragunov | 10–18 | 35.71% |
| Ximxn vs Armor King | 10–17 | 37.04% |
| Ximxn vs Law | 11–14 | 44.00% |
| Ximxn vs Hwoarang | 11–14 | 44.00% |
| Ximxn vs Jun | 11–12 | 47.83% |
| Ximxn vs Asuka | 5–15 | 25.00% |
| Ximxn vs Reina | 7–13 | 35.00% |
| Ximxn vs Devil Jin | 7–12 | 36.84% |
| Ximxn vs Victor | 10–9 | 52.63% |
| Ximxn vs Nina | 7–7 | 50.00% |
| Ximxn vs Lars | 5–8 | 38.46% |
| Ximxn vs Paul | 1–9 | 10.00% |
| Ximxn vs Yoshimitsu | 8–2 | 80.00% |
| Ximxn vs Lee | 4–6 | 40.00% |
| Ximxn vs Fahkumram | 1–9 | 10.00% |
| Ximxn vs Miary Zo | 8–2 | 80.00% |
| Ximxn vs Bryan | 4–5 | 44.44% |
| Ximxn vs Leroy | 3–5 | 37.50% |
| Ximxn vs Azucena | 2–6 | 25.00% |
| Ximxn vs Feng | 2–5 | 28.57% |
| Ximxn vs Claudio | 2–5 | 28.57% |
| Ximxn vs Eddy | 4–3 | 57.14% |
| Ximxn vs Heihachi | 4–3 | 57.14% |
| Ximxn vs Clive | 3–4 | 42.86% |
| Ximxn vs Xiaoyu | 3–3 | 50.00% |
| Ximxn vs Leo | 3–3 | 50.00% |
| Ximxn vs Anna | 3–3 | 50.00% |
| Ximxn vs Jack-8 | 2–2 | 50.00% |
| Ximxn vs Alisa | 1–3 | 25.00% |
| Ximxn vs Raven | 1–3 | 25.00% |
| Ximxn vs Panda | 1–2 | 33.33% |
| Ximxn vs Zafina | 0–2 | 0.00% |
| Ximxn vs Lidia | 2–0 | 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.