| Lx SIGMA xL vs Eddy | 34–19 | 64.15% |
| Lx SIGMA xL vs Jin | 27–11 | 71.05% |
| Lx SIGMA xL vs King | 16–18 | 47.06% |
| Lx SIGMA xL vs Law | 23–8 | 74.19% |
| Lx SIGMA xL vs Bryan | 19–11 | 63.33% |
| Lx SIGMA xL vs Paul | 12–16 | 42.86% |
| Lx SIGMA xL vs Yoshimitsu | 11–17 | 39.29% |
| Lx SIGMA xL vs Hwoarang | 15–9 | 62.50% |
| Lx SIGMA xL vs Victor | 16–5 | 76.19% |
| Lx SIGMA xL vs Xiaoyu | 6–13 | 31.58% |
| Lx SIGMA xL vs Lili | 10–9 | 52.63% |
| Lx SIGMA xL vs Kazuya | 9–9 | 50.00% |
| Lx SIGMA xL vs Alisa | 11–6 | 64.71% |
| Lx SIGMA xL vs Lars | 6–9 | 40.00% |
| Lx SIGMA xL vs Jun | 9–6 | 60.00% |
| Lx SIGMA xL vs Steve | 9–5 | 64.29% |
| Lx SIGMA xL vs Leroy | 7–6 | 53.85% |
| Lx SIGMA xL vs Asuka | 7–5 | 58.33% |
| Lx SIGMA xL vs Devil Jin | 5–7 | 41.67% |
| Lx SIGMA xL vs Feng | 5–7 | 41.67% |
| Lx SIGMA xL vs Nina | 5–7 | 41.67% |
| Lx SIGMA xL vs Lee | 4–7 | 36.36% |
| Lx SIGMA xL vs Azucena | 8–3 | 72.73% |
| Lx SIGMA xL vs Jack-8 | 3–6 | 33.33% |
| Lx SIGMA xL vs Dragunov | 2–7 | 22.22% |
| Lx SIGMA xL vs Leo | 4–4 | 50.00% |
| Lx SIGMA xL vs Zafina | 4–4 | 50.00% |
| Lx SIGMA xL vs Reina | 4–3 | 57.14% |
| Lx SIGMA xL vs Kuma | 3–3 | 50.00% |
| Lx SIGMA xL vs Raven | 4–1 | 80.00% |
| Lx SIGMA xL vs Panda | 0–4 | 0.00% |
| Lx SIGMA xL vs Shaheen | 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.