| lei Wulong vs King | 48–29 | 62.34% |
| lei Wulong vs Dragunov | 39–27 | 59.09% |
| lei Wulong vs Hwoarang | 43–19 | 69.35% |
| lei Wulong vs Jin | 31–21 | 59.62% |
| lei Wulong vs Kazuya | 28–15 | 65.12% |
| lei Wulong vs Victor | 23–20 | 53.49% |
| lei Wulong vs Miary Zo | 21–22 | 48.84% |
| lei Wulong vs Paul | 21–19 | 52.50% |
| lei Wulong vs Bryan | 20–20 | 50.00% |
| lei Wulong vs Asuka | 25–15 | 62.50% |
| lei Wulong vs Lars | 26–13 | 66.67% |
| lei Wulong vs Nina | 27–11 | 71.05% |
| lei Wulong vs Lili | 26–10 | 72.22% |
| lei Wulong vs Azucena | 20–16 | 55.56% |
| lei Wulong vs Eddy | 20–16 | 55.56% |
| lei Wulong vs Law | 22–12 | 64.71% |
| lei Wulong vs Reina | 13–20 | 39.39% |
| lei Wulong vs Clive | 20–13 | 60.61% |
| lei Wulong vs Xiaoyu | 24–7 | 77.42% |
| lei Wulong vs Jun | 23–8 | 74.19% |
| lei Wulong vs Steve | 15–11 | 57.69% |
| lei Wulong vs Alisa | 17–8 | 68.00% |
| lei Wulong vs Claudio | 13–10 | 56.52% |
| lei Wulong vs Heihachi | 17–4 | 80.95% |
| lei Wulong vs Leo | 15–5 | 75.00% |
| lei Wulong vs Yoshimitsu | 15–4 | 78.95% |
| lei Wulong vs Kuma | 12–7 | 63.16% |
| lei Wulong vs Leroy | 9–10 | 47.37% |
| lei Wulong vs Devil Jin | 12–6 | 66.67% |
| lei Wulong vs Fahkumram | 8–8 | 50.00% |
| lei Wulong vs Feng | 7–6 | 53.85% |
| lei Wulong vs Lidia | 8–5 | 61.54% |
| lei Wulong vs Jack-8 | 6–6 | 50.00% |
| lei Wulong vs Lee | 5–7 | 41.67% |
| lei Wulong vs Anna | 8–4 | 66.67% |
| lei Wulong vs Armor King | 3–9 | 25.00% |
| lei Wulong vs Zafina | 7–3 | 70.00% |
| lei Wulong vs Raven | 7–2 | 77.78% |
| lei Wulong vs Shaheen | 3–3 | 50.00% |
| lei Wulong vs Panda | 4–0 | 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.