| Xiao Ling vs Kazuya | 136–161 | 45.79% |
| Xiao Ling vs Bryan | 97–125 | 43.69% |
| Xiao Ling vs Armor King | 89–109 | 44.95% |
| Xiao Ling vs King | 89–99 | 47.34% |
| Xiao Ling vs Jin | 84–102 | 45.16% |
| Xiao Ling vs Hwoarang | 86–89 | 49.14% |
| Xiao Ling vs Dragunov | 62–89 | 41.06% |
| Xiao Ling vs Reina | 65–82 | 44.22% |
| Xiao Ling vs Steve | 77–62 | 55.40% |
| Xiao Ling vs Heihachi | 59–79 | 42.75% |
| Xiao Ling vs Lili | 54–75 | 41.86% |
| Xiao Ling vs Devil Jin | 63–54 | 53.85% |
| Xiao Ling vs Yoshimitsu | 46–64 | 41.82% |
| Xiao Ling vs Paul | 37–66 | 35.92% |
| Xiao Ling vs Lee | 49–50 | 49.49% |
| Xiao Ling vs Feng | 45–51 | 46.88% |
| Xiao Ling vs Azucena | 40–51 | 43.96% |
| Xiao Ling vs Asuka | 44–46 | 48.89% |
| Xiao Ling vs Jun | 30–58 | 34.09% |
| Xiao Ling vs Law | 30–56 | 34.88% |
| Xiao Ling vs Fahkumram | 31–51 | 37.80% |
| Xiao Ling vs Claudio | 32–42 | 43.24% |
| Xiao Ling vs Anna | 33–39 | 45.83% |
| Xiao Ling vs Lars | 24–39 | 38.10% |
| Xiao Ling vs Alisa | 24–38 | 38.71% |
| Xiao Ling vs Nina | 20–42 | 32.26% |
| Xiao Ling vs Miary Zo | 22–38 | 36.67% |
| Xiao Ling vs Xiaoyu | 21–38 | 35.59% |
| Xiao Ling vs Jack-8 | 23–30 | 43.40% |
| Xiao Ling vs Lidia | 29–24 | 54.72% |
| Xiao Ling vs Clive | 22–31 | 41.51% |
| Xiao Ling vs Eddy | 29–21 | 58.00% |
| Xiao Ling vs Raven | 23–25 | 47.92% |
| Xiao Ling vs Leroy | 21–22 | 48.84% |
| Xiao Ling vs Leo | 23–18 | 56.10% |
| Xiao Ling vs Victor | 17–19 | 47.22% |
| Xiao Ling vs Zafina | 19–16 | 54.29% |
| Xiao Ling vs Shaheen | 12–12 | 50.00% |
| Xiao Ling vs Kuma | 5–7 | 41.67% |
| Xiao Ling vs Panda | 7–0 | 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.