| LiGuang vs Kazuya | 135–98 | 57.94% |
| LiGuang vs Jin | 116–75 | 60.73% |
| LiGuang vs Bryan | 97–61 | 61.39% |
| LiGuang vs Armor King | 85–66 | 56.29% |
| LiGuang vs Hwoarang | 78–66 | 54.17% |
| LiGuang vs Law | 68–57 | 54.40% |
| LiGuang vs Dragunov | 72–52 | 58.06% |
| LiGuang vs Paul | 76–44 | 63.33% |
| LiGuang vs King | 68–49 | 58.12% |
| LiGuang vs Lee | 55–51 | 51.89% |
| LiGuang vs Heihachi | 58–44 | 56.86% |
| LiGuang vs Devil Jin | 46–45 | 50.55% |
| LiGuang vs Reina | 46–39 | 54.12% |
| LiGuang vs Yoshimitsu | 59–23 | 71.95% |
| LiGuang vs Lili | 56–26 | 68.29% |
| LiGuang vs Jun | 43–35 | 55.13% |
| LiGuang vs Steve | 45–32 | 58.44% |
| LiGuang vs Clive | 41–35 | 53.95% |
| LiGuang vs Eddy | 42–24 | 63.64% |
| LiGuang vs Xiaoyu | 39–23 | 62.90% |
| LiGuang vs Claudio | 28–31 | 47.46% |
| LiGuang vs Victor | 39–17 | 69.64% |
| LiGuang vs Jack-8 | 36–19 | 65.45% |
| LiGuang vs Nina | 32–21 | 60.38% |
| LiGuang vs Lidia | 26–25 | 50.98% |
| LiGuang vs Azucena | 19–31 | 38.00% |
| LiGuang vs Asuka | 24–24 | 50.00% |
| LiGuang vs Lars | 21–27 | 43.75% |
| LiGuang vs Fahkumram | 17–30 | 36.17% |
| LiGuang vs Alisa | 31–13 | 70.45% |
| LiGuang vs Feng | 23–18 | 56.10% |
| LiGuang vs Raven | 25–15 | 62.50% |
| LiGuang vs Miary Zo | 19–18 | 51.35% |
| LiGuang vs Leo | 20–15 | 57.14% |
| LiGuang vs Zafina | 18–16 | 52.94% |
| LiGuang vs Leroy | 13–19 | 40.62% |
| LiGuang vs Anna | 17–13 | 56.67% |
| LiGuang vs Shaheen | 6–21 | 22.22% |
| LiGuang vs Kuma | 15–9 | 62.50% |
| LiGuang vs Panda | 2–2 | 50.00% |
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.