| LehYeh vs King | 19–10 | 65.52% |
| LehYeh vs Eddy | 10–15 | 40.00% |
| LehYeh vs Hwoarang | 14–5 | 73.68% |
| LehYeh vs Jin | 10–9 | 52.63% |
| LehYeh vs Jun | 9–7 | 56.25% |
| LehYeh vs Dragunov | 9–4 | 69.23% |
| LehYeh vs Azucena | 9–4 | 69.23% |
| LehYeh vs Law | 6–6 | 50.00% |
| LehYeh vs Kazuya | 9–3 | 75.00% |
| LehYeh vs Reina | 9–3 | 75.00% |
| LehYeh vs Steve | 8–2 | 80.00% |
| LehYeh vs Feng | 8–2 | 80.00% |
| LehYeh vs Victor | 7–3 | 70.00% |
| LehYeh vs Bryan | 6–3 | 66.67% |
| LehYeh vs Leo | 5–3 | 62.50% |
| LehYeh vs Paul | 3–4 | 42.86% |
| LehYeh vs Lee | 6–1 | 85.71% |
| LehYeh vs Yoshimitsu | 4–2 | 66.67% |
| LehYeh vs Asuka | 5–1 | 83.33% |
| LehYeh vs Lili | 6–0 | 100.00% |
| LehYeh vs Lars | 2–4 | 33.33% |
| LehYeh vs Devil Jin | 4–1 | 80.00% |
| LehYeh vs Fahkumram | 4–1 | 80.00% |
| LehYeh vs Xiaoyu | 3–1 | 75.00% |
| LehYeh vs Alisa | 2–2 | 50.00% |
| LehYeh vs Zafina | 2–2 | 50.00% |
| LehYeh vs Leroy | 4–0 | 100.00% |
| LehYeh vs Heihachi | 4–0 | 100.00% |
| LehYeh vs Jack-8 | 0–3 | 0.00% |
| LehYeh vs Nina | 1–2 | 33.33% |
| LehYeh vs Panda | 2–1 | 66.67% |
| LehYeh vs Raven | 3–0 | 100.00% |
| LehYeh vs Lidia | 1–1 | 50.00% |
| LehYeh vs Armor King | 2–0 | 100.00% |
| LehYeh vs Claudio | 0–1 | 0.00% |
| LehYeh vs Shaheen | 1–0 | 100.00% |
| LehYeh vs Kuma | 0–1 | 0.00% |
| LehYeh vs Miary Zo | 1–0 | 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.