| XiGua9009 vs Bryan | 30–36 | 45.45% |
| XiGua9009 vs Kazuya | 37–21 | 63.79% |
| XiGua9009 vs Steve | 32–25 | 56.14% |
| XiGua9009 vs Hwoarang | 31–18 | 63.27% |
| XiGua9009 vs King | 33–14 | 70.21% |
| XiGua9009 vs Reina | 27–11 | 71.05% |
| XiGua9009 vs Paul | 14–21 | 40.00% |
| XiGua9009 vs Victor | 24–10 | 70.59% |
| XiGua9009 vs Asuka | 12–20 | 37.50% |
| XiGua9009 vs Law | 13–18 | 41.94% |
| XiGua9009 vs Jin | 19–12 | 61.29% |
| XiGua9009 vs Yoshimitsu | 14–16 | 46.67% |
| XiGua9009 vs Heihachi | 24–6 | 80.00% |
| XiGua9009 vs Lee | 19–10 | 65.52% |
| XiGua9009 vs Jun | 17–12 | 58.62% |
| XiGua9009 vs Lili | 16–10 | 61.54% |
| XiGua9009 vs Lars | 14–10 | 58.33% |
| XiGua9009 vs Clive | 15–9 | 62.50% |
| XiGua9009 vs Devil Jin | 13–9 | 59.09% |
| XiGua9009 vs Azucena | 13–9 | 59.09% |
| XiGua9009 vs Dragunov | 8–12 | 40.00% |
| XiGua9009 vs Nina | 11–8 | 57.89% |
| XiGua9009 vs Xiaoyu | 9–8 | 52.94% |
| XiGua9009 vs Feng | 6–11 | 35.29% |
| XiGua9009 vs Alisa | 8–8 | 50.00% |
| XiGua9009 vs Zafina | 7–4 | 63.64% |
| XiGua9009 vs Lidia | 5–6 | 45.45% |
| XiGua9009 vs Claudio | 6–4 | 60.00% |
| XiGua9009 vs Leroy | 5–4 | 55.56% |
| XiGua9009 vs Jack-8 | 5–3 | 62.50% |
| XiGua9009 vs Raven | 5–3 | 62.50% |
| XiGua9009 vs Eddy | 8–0 | 100.00% |
| XiGua9009 vs Shaheen | 1–6 | 14.29% |
| XiGua9009 vs Leo | 5–1 | 83.33% |
| XiGua9009 vs Kuma | 0–4 | 0.00% |
| XiGua9009 vs Anna | 2–2 | 50.00% |
| XiGua9009 vs Panda | 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.