| lingxiang vs Hwoarang | 43–19 | 69.35% |
| lingxiang vs King | 28–32 | 46.67% |
| lingxiang vs Kazuya | 39–21 | 65.00% |
| lingxiang vs Reina | 37–23 | 61.67% |
| lingxiang vs Paul | 28–24 | 53.85% |
| lingxiang vs Jin | 27–23 | 54.00% |
| lingxiang vs Lili | 27–15 | 64.29% |
| lingxiang vs Dragunov | 17–24 | 41.46% |
| lingxiang vs Bryan | 17–15 | 53.12% |
| lingxiang vs Asuka | 20–11 | 64.52% |
| lingxiang vs Law | 12–18 | 40.00% |
| lingxiang vs Eddy | 14–16 | 46.67% |
| lingxiang vs Yoshimitsu | 10–18 | 35.71% |
| lingxiang vs Feng | 15–12 | 55.56% |
| lingxiang vs Alisa | 13–12 | 52.00% |
| lingxiang vs Azucena | 8–16 | 33.33% |
| lingxiang vs Victor | 15–7 | 68.18% |
| lingxiang vs Xiaoyu | 9–10 | 47.37% |
| lingxiang vs Jun | 9–9 | 50.00% |
| lingxiang vs Kuma | 10–6 | 62.50% |
| lingxiang vs Jack-8 | 6–8 | 42.86% |
| lingxiang vs Lee | 6–7 | 46.15% |
| lingxiang vs Leroy | 4–8 | 33.33% |
| lingxiang vs Steve | 7–4 | 63.64% |
| lingxiang vs Devil Jin | 4–6 | 40.00% |
| lingxiang vs Leo | 6–4 | 60.00% |
| lingxiang vs Claudio | 5–5 | 50.00% |
| lingxiang vs Raven | 2–8 | 20.00% |
| lingxiang vs Lars | 2–6 | 25.00% |
| lingxiang vs Shaheen | 3–5 | 37.50% |
| lingxiang vs Zafina | 2–6 | 25.00% |
| lingxiang vs Heihachi | 2–5 | 28.57% |
| lingxiang vs Nina | 3–3 | 50.00% |
| lingxiang vs Lidia | 2–3 | 40.00% |
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.