| LΞE발 vs Kazuya | 36–17 | 67.92% |
| LΞE발 vs Reina | 34–18 | 65.38% |
| LΞE발 vs Hwoarang | 20–24 | 45.45% |
| LΞE발 vs King | 18–23 | 43.90% |
| LΞE발 vs Paul | 26–11 | 70.27% |
| LΞE발 vs Jin | 16–21 | 43.24% |
| LΞE발 vs Asuka | 20–17 | 54.05% |
| LΞE발 vs Lili | 15–19 | 44.12% |
| LΞE발 vs Bryan | 13–20 | 39.39% |
| LΞE발 vs Steve | 9–20 | 31.03% |
| LΞE발 vs Dragunov | 11–18 | 37.93% |
| LΞE발 vs Law | 13–14 | 48.15% |
| LΞE발 vs Yoshimitsu | 10–14 | 41.67% |
| LΞE발 vs Alisa | 12–10 | 54.55% |
| LΞE발 vs Victor | 12–9 | 57.14% |
| LΞE발 vs Leo | 12–6 | 66.67% |
| LΞE발 vs Lidia | 7–10 | 41.18% |
| LΞE발 vs Heihachi | 7–9 | 43.75% |
| LΞE발 vs Claudio | 5–10 | 33.33% |
| LΞE발 vs Azucena | 7–8 | 46.67% |
| LΞE발 vs Devil Jin | 5–8 | 38.46% |
| LΞE발 vs Feng | 7–6 | 53.85% |
| LΞE발 vs Jun | 7–6 | 53.85% |
| LΞE발 vs Nina | 5–7 | 41.67% |
| LΞE발 vs Lee | 5–5 | 50.00% |
| LΞE발 vs Eddy | 4–5 | 44.44% |
| LΞE발 vs Jack-8 | 5–3 | 62.50% |
| LΞE발 vs Zafina | 5–3 | 62.50% |
| LΞE발 vs Raven | 3–5 | 37.50% |
| LΞE발 vs Lars | 2–5 | 28.57% |
| LΞE발 vs Kuma | 3–3 | 50.00% |
| LΞE발 vs Fahkumram | 6–0 | 100.00% |
| LΞE발 vs Leroy | 3–2 | 60.00% |
| LΞE발 vs Armor King | 3–2 | 60.00% |
| LΞE발 vs Xiaoyu | 1–3 | 25.00% |
| LΞE발 vs Miary Zo | 1–3 | 25.00% |
| LΞE발 vs Shaheen | 1–2 | 33.33% |
| LΞE발 vs Anna | 1–2 | 33.33% |
| LΞE발 vs Panda | 0–2 | 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.