| xaiiax vs Kazuya | 31–7 | 81.58% |
| xaiiax vs Heihachi | 24–11 | 68.57% |
| xaiiax vs Jin | 21–6 | 77.78% |
| xaiiax vs Yoshimitsu | 18–5 | 78.26% |
| xaiiax vs Bryan | 15–7 | 68.18% |
| xaiiax vs Lee | 18–3 | 85.71% |
| xaiiax vs Devil Jin | 11–4 | 73.33% |
| xaiiax vs Reina | 14–1 | 93.33% |
| xaiiax vs Lili | 9–5 | 64.29% |
| xaiiax vs Alisa | 10–2 | 83.33% |
| xaiiax vs King | 11–0 | 100.00% |
| xaiiax vs Dragunov | 10–0 | 100.00% |
| xaiiax vs Nina | 10–0 | 100.00% |
| xaiiax vs Paul | 9–0 | 100.00% |
| xaiiax vs Xiaoyu | 8–1 | 88.89% |
| xaiiax vs Victor | 5–4 | 55.56% |
| xaiiax vs Law | 6–2 | 75.00% |
| xaiiax vs Hwoarang | 6–2 | 75.00% |
| xaiiax vs Fahkumram | 7–1 | 87.50% |
| xaiiax vs Leo | 3–4 | 42.86% |
| xaiiax vs Claudio | 6–1 | 85.71% |
| xaiiax vs Kuma | 5–2 | 71.43% |
| xaiiax vs Steve | 5–1 | 83.33% |
| xaiiax vs Feng | 5–1 | 83.33% |
| xaiiax vs Raven | 5–1 | 83.33% |
| xaiiax vs Anna | 4–2 | 66.67% |
| xaiiax vs Jack-8 | 4–1 | 80.00% |
| xaiiax vs Leroy | 5–0 | 100.00% |
| xaiiax vs Azucena | 4–0 | 100.00% |
| xaiiax vs Clive | 4–0 | 100.00% |
| xaiiax vs Lars | 3–0 | 100.00% |
| xaiiax vs Shaheen | 2–1 | 66.67% |
| xaiiax vs Asuka | 2–0 | 100.00% |
| xaiiax vs Eddy | 1–1 | 50.00% |
| xaiiax vs Panda | 1–0 | 100.00% |
| xaiiax vs Zafina | 1–0 | 100.00% |
| xaiiax vs Lidia | 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.