| Xanzof910 vs Clive | 15–13 | 53.57% |
| Xanzof910 vs Hwoarang | 7–11 | 38.89% |
| Xanzof910 vs Jin | 5–13 | 27.78% |
| Xanzof910 vs King | 6–9 | 40.00% |
| Xanzof910 vs Steve | 6–6 | 50.00% |
| Xanzof910 vs Law | 5–4 | 55.56% |
| Xanzof910 vs Reina | 4–5 | 44.44% |
| Xanzof910 vs Xiaoyu | 4–4 | 50.00% |
| Xanzof910 vs Azucena | 3–5 | 37.50% |
| Xanzof910 vs Heihachi | 5–3 | 62.50% |
| Xanzof910 vs Bryan | 2–5 | 28.57% |
| Xanzof910 vs Kazuya | 3–4 | 42.86% |
| Xanzof910 vs Lili | 2–4 | 33.33% |
| Xanzof910 vs Zafina | 1–5 | 16.67% |
| Xanzof910 vs Leroy | 2–4 | 33.33% |
| Xanzof910 vs Lidia | 4–2 | 66.67% |
| Xanzof910 vs Claudio | 2–3 | 40.00% |
| Xanzof910 vs Lee | 0–5 | 0.00% |
| Xanzof910 vs Kuma | 2–3 | 40.00% |
| Xanzof910 vs Eddy | 1–4 | 20.00% |
| Xanzof910 vs Dragunov | 3–1 | 75.00% |
| Xanzof910 vs Jun | 3–1 | 75.00% |
| Xanzof910 vs Leo | 2–1 | 66.67% |
| Xanzof910 vs Lars | 0–3 | 0.00% |
| Xanzof910 vs Panda | 1–2 | 33.33% |
| Xanzof910 vs Raven | 2–1 | 66.67% |
| Xanzof910 vs Paul | 2–0 | 100.00% |
| Xanzof910 vs Yoshimitsu | 0–2 | 0.00% |
| Xanzof910 vs Feng | 0–2 | 0.00% |
| Xanzof910 vs Nina | 2–0 | 100.00% |
| Xanzof910 vs Victor | 0–2 | 0.00% |
| Xanzof910 vs Asuka | 0–1 | 0.00% |
| Xanzof910 vs Devil Jin | 1–0 | 100.00% |
| Xanzof910 vs Alisa | 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.