| Xiang vs Fahkumram | 24–13 | 64.86% |
| Xiang vs Dragunov | 15–6 | 71.43% |
| Xiang vs Bryan | 14–6 | 70.00% |
| Xiang vs Reina | 13–7 | 65.00% |
| Xiang vs Heihachi | 15–4 | 78.95% |
| Xiang vs Law | 14–4 | 77.78% |
| Xiang vs Lee | 13–4 | 76.47% |
| Xiang vs Anna | 8–7 | 53.33% |
| Xiang vs Armor King | 8–6 | 57.14% |
| Xiang vs Yoshimitsu | 11–2 | 84.62% |
| Xiang vs Steve | 8–5 | 61.54% |
| Xiang vs Jun | 8–5 | 61.54% |
| Xiang vs Victor | 10–3 | 76.92% |
| Xiang vs Hwoarang | 6–5 | 54.55% |
| Xiang vs Lars | 7–4 | 63.64% |
| Xiang vs Raven | 6–4 | 60.00% |
| Xiang vs Devil Jin | 6–3 | 66.67% |
| Xiang vs Jin | 4–4 | 50.00% |
| Xiang vs Kazuya | 3–5 | 37.50% |
| Xiang vs Nina | 8–0 | 100.00% |
| Xiang vs Asuka | 4–3 | 57.14% |
| Xiang vs Lili | 3–4 | 42.86% |
| Xiang vs Alisa | 4–3 | 57.14% |
| Xiang vs Paul | 6–0 | 100.00% |
| Xiang vs Kuma | 6–0 | 100.00% |
| Xiang vs Eddy | 3–3 | 50.00% |
| Xiang vs Clive | 6–0 | 100.00% |
| Xiang vs King | 4–1 | 80.00% |
| Xiang vs Jack-8 | 3–2 | 60.00% |
| Xiang vs Leo | 4–1 | 80.00% |
| Xiang vs Lidia | 2–3 | 40.00% |
| Xiang vs Panda | 3–1 | 75.00% |
| Xiang vs Zafina | 2–2 | 50.00% |
| Xiang vs Leroy | 3–1 | 75.00% |
| Xiang vs Feng | 2–1 | 66.67% |
| Xiang vs Claudio | 3–0 | 100.00% |
| Xiang vs Xiaoyu | 2–0 | 100.00% |
| Xiang vs Azucena | 2–0 | 100.00% |
| Xiang vs Shaheen | 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.