| le0_ vs Kazuya | 60–64 | 48.39% |
| le0_ vs Jin | 73–44 | 62.39% |
| le0_ vs King | 48–51 | 48.48% |
| le0_ vs Hwoarang | 53–43 | 55.21% |
| le0_ vs Bryan | 59–36 | 62.11% |
| le0_ vs Reina | 46–31 | 59.74% |
| le0_ vs Law | 37–30 | 55.22% |
| le0_ vs Lili | 34–31 | 52.31% |
| le0_ vs Steve | 46–18 | 71.88% |
| le0_ vs Paul | 31–30 | 50.82% |
| le0_ vs Jun | 28–27 | 50.91% |
| le0_ vs Asuka | 30–22 | 57.69% |
| le0_ vs Yoshimitsu | 30–20 | 60.00% |
| le0_ vs Dragunov | 26–21 | 55.32% |
| le0_ vs Devil Jin | 17–28 | 37.78% |
| le0_ vs Eddy | 21–23 | 47.73% |
| le0_ vs Azucena | 22–20 | 52.38% |
| le0_ vs Lee | 23–15 | 60.53% |
| le0_ vs Heihachi | 13–17 | 43.33% |
| le0_ vs Lars | 15–12 | 55.56% |
| le0_ vs Nina | 16–11 | 59.26% |
| le0_ vs Alisa | 13–13 | 50.00% |
| le0_ vs Feng | 12–12 | 50.00% |
| le0_ vs Kuma | 6–18 | 25.00% |
| le0_ vs Raven | 7–17 | 29.17% |
| le0_ vs Leo | 8–13 | 38.10% |
| le0_ vs Claudio | 13–8 | 61.90% |
| le0_ vs Leroy | 12–8 | 60.00% |
| le0_ vs Jack-8 | 9–9 | 50.00% |
| le0_ vs Armor King | 10–6 | 62.50% |
| le0_ vs Victor | 5–9 | 35.71% |
| le0_ vs Xiaoyu | 9–4 | 69.23% |
| le0_ vs Zafina | 6–3 | 66.67% |
| le0_ vs Shaheen | 2–6 | 25.00% |
| le0_ vs Clive | 6–2 | 75.00% |
| le0_ vs Fahkumram | 6–2 | 75.00% |
| le0_ vs Panda | 4–2 | 66.67% |
| le0_ vs Miary Zo | 3–2 | 60.00% |
| le0_ vs Lidia | 2–0 | 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.