| ll_shoes_ll vs Clive | 39–48 | 44.83% |
| ll_shoes_ll vs King | 24–25 | 48.98% |
| ll_shoes_ll vs Kazuya | 23–24 | 48.94% |
| ll_shoes_ll vs Jin | 13–31 | 29.55% |
| ll_shoes_ll vs Reina | 18–25 | 41.86% |
| ll_shoes_ll vs Asuka | 17–22 | 43.59% |
| ll_shoes_ll vs Heihachi | 12–22 | 35.29% |
| ll_shoes_ll vs Law | 11–21–1 | 34.38% |
| ll_shoes_ll vs Lars | 13–20 | 39.39% |
| ll_shoes_ll vs Yoshimitsu | 18–12 | 60.00% |
| ll_shoes_ll vs Bryan | 12–18 | 40.00% |
| ll_shoes_ll vs Hwoarang | 13–15 | 46.43% |
| ll_shoes_ll vs Lili | 14–13 | 51.85% |
| ll_shoes_ll vs Steve | 15–10 | 60.00% |
| ll_shoes_ll vs Dragunov | 11–12 | 47.83% |
| ll_shoes_ll vs Lee | 13–9 | 59.09% |
| ll_shoes_ll vs Azucena | 5–17 | 22.73% |
| ll_shoes_ll vs Jun | 6–15 | 28.57% |
| ll_shoes_ll vs Xiaoyu | 7–13 | 35.00% |
| ll_shoes_ll vs Feng | 7–12 | 36.84% |
| ll_shoes_ll vs Nina | 5–14 | 26.32% |
| ll_shoes_ll vs Victor | 8–11 | 42.11% |
| ll_shoes_ll vs Lidia | 8–11 | 42.11% |
| ll_shoes_ll vs Eddy | 10–8 | 55.56% |
| ll_shoes_ll vs Jack-8 | 4–7 | 36.36% |
| ll_shoes_ll vs Leo | 6–4 | 60.00% |
| ll_shoes_ll vs Alisa | 2–8 | 20.00% |
| ll_shoes_ll vs Devil Jin | 5–4 | 55.56% |
| ll_shoes_ll vs Kuma | 1–8 | 11.11% |
| ll_shoes_ll vs Leroy | 1–7 | 12.50% |
| ll_shoes_ll vs Paul | 3–4 | 42.86% |
| ll_shoes_ll vs Raven | 2–4 | 33.33% |
| ll_shoes_ll 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.