| sL_Legends vs Armor King | 73–78 | 48.34% |
| sL_Legends vs Law | 53–39 | 57.61% |
| sL_Legends vs Kazuya | 46–39 | 54.12% |
| sL_Legends vs Jin | 40–41 | 49.38% |
| sL_Legends vs King | 43–25 | 63.24% |
| sL_Legends vs Hwoarang | 36–27 | 57.14% |
| sL_Legends vs Bryan | 35–24 | 59.32% |
| sL_Legends vs Steve | 29–14 | 67.44% |
| sL_Legends vs Fahkumram | 21–21 | 50.00% |
| sL_Legends vs Paul | 16–25 | 39.02% |
| sL_Legends vs Yoshimitsu | 16–25 | 39.02% |
| sL_Legends vs Lili | 21–15 | 58.33% |
| sL_Legends vs Heihachi | 16–20 | 44.44% |
| sL_Legends vs Lee | 18–17 | 51.43% |
| sL_Legends vs Reina | 17–14 | 54.84% |
| sL_Legends vs Lars | 14–15 | 48.28% |
| sL_Legends vs Xiaoyu | 12–16 | 42.86% |
| sL_Legends vs Dragunov | 12–16 | 42.86% |
| sL_Legends vs Eddy | 16–10 | 61.54% |
| sL_Legends vs Anna | 15–11 | 57.69% |
| sL_Legends vs Jun | 17–8 | 68.00% |
| sL_Legends vs Devil Jin | 9–15 | 37.50% |
| sL_Legends vs Alisa | 10–14 | 41.67% |
| sL_Legends vs Miary Zo | 11–13 | 45.83% |
| sL_Legends vs Nina | 10–12 | 45.45% |
| sL_Legends vs Asuka | 13–8 | 61.90% |
| sL_Legends vs Azucena | 9–9 | 50.00% |
| sL_Legends vs Victor | 11–6 | 64.71% |
| sL_Legends vs Jack-8 | 5–8 | 38.46% |
| sL_Legends vs Claudio | 7–6 | 53.85% |
| sL_Legends vs Feng | 6–6 | 50.00% |
| sL_Legends vs Clive | 8–4 | 66.67% |
| sL_Legends vs Raven | 5–6 | 45.45% |
| sL_Legends vs Leo | 5–5 | 50.00% |
| sL_Legends vs Leroy | 7–3 | 70.00% |
| sL_Legends vs Shaheen | 6–1 | 85.71% |
| sL_Legends vs Lidia | 3–3 | 50.00% |
| sL_Legends vs Zafina | 2–3 | 40.00% |
| sL_Legends vs Kuma | 3–1 | 75.00% |
| sL_Legends vs Panda | 1–2 | 33.33% |
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.