| lebangskie vs Bryan | 10–16 | 38.46% |
| lebangskie vs Jin | 14–8 | 63.64% |
| lebangskie vs Kazuya | 10–10 | 50.00% |
| lebangskie vs Steve | 12–8 | 60.00% |
| lebangskie vs Dragunov | 9–11 | 45.00% |
| lebangskie vs Armor King | 11–9 | 55.00% |
| lebangskie vs Lars | 12–3 | 80.00% |
| lebangskie vs Law | 6–7 | 46.15% |
| lebangskie vs Feng | 9–4 | 69.23% |
| lebangskie vs Reina | 6–6 | 50.00% |
| lebangskie vs King | 4–7 | 36.36% |
| lebangskie vs Jun | 5–5 | 50.00% |
| lebangskie vs Yoshimitsu | 5–4 | 55.56% |
| lebangskie vs Asuka | 4–5 | 44.44% |
| lebangskie vs Lili | 3–6 | 33.33% |
| lebangskie vs Alisa | 5–2 | 71.43% |
| lebangskie vs Lidia | 5–2 | 71.43% |
| lebangskie vs Heihachi | 2–5 | 28.57% |
| lebangskie vs Paul | 4–2 | 66.67% |
| lebangskie vs Jack-8 | 4–2 | 66.67% |
| lebangskie vs Lee | 5–1 | 83.33% |
| lebangskie vs Miary Zo | 5–1 | 83.33% |
| lebangskie vs Hwoarang | 2–3 | 40.00% |
| lebangskie vs Azucena | 4–1 | 80.00% |
| lebangskie vs Raven | 4–1 | 80.00% |
| lebangskie vs Devil Jin | 2–2 | 50.00% |
| lebangskie vs Leo | 0–4 | 0.00% |
| lebangskie vs Xiaoyu | 3–0 | 100.00% |
| lebangskie vs Claudio | 1–2 | 33.33% |
| lebangskie vs Shaheen | 2–1 | 66.67% |
| lebangskie vs Zafina | 2–1 | 66.67% |
| lebangskie vs Nina | 2–0 | 100.00% |
| lebangskie vs Leroy | 2–0 | 100.00% |
| lebangskie vs Victor | 1–1 | 50.00% |
| lebangskie vs Eddy | 1–1 | 50.00% |
| lebangskie vs Clive | 0–2 | 0.00% |
| lebangskie vs Anna | 2–0 | 100.00% |
| lebangskie vs Fahkumram | 2–0 | 100.00% |
| lebangskie vs Kuma | 0–1 | 0.00% |
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.