| LilahRPG vs Clive | 54–32 | 62.79% |
| LilahRPG vs King | 51–27 | 65.38% |
| LilahRPG vs Kazuya | 46–24 | 65.71% |
| LilahRPG vs Bryan | 42–21 | 66.67% |
| LilahRPG vs Jin | 31–29 | 51.67% |
| LilahRPG vs Steve | 32–17 | 65.31% |
| LilahRPG vs Hwoarang | 26–20 | 56.52% |
| LilahRPG vs Heihachi | 25–18 | 58.14% |
| LilahRPG vs Devil Jin | 22–16 | 57.89% |
| LilahRPG vs Dragunov | 18–16 | 52.94% |
| LilahRPG vs Lee | 17–17 | 50.00% |
| LilahRPG vs Paul | 15–16 | 48.39% |
| LilahRPG vs Lars | 15–15 | 50.00% |
| LilahRPG vs Yoshimitsu | 22–7 | 75.86% |
| LilahRPG vs Asuka | 14–14 | 50.00% |
| LilahRPG vs Lili | 20–7 | 74.07% |
| LilahRPG vs Law | 15–11 | 57.69% |
| LilahRPG vs Reina | 16–8 | 66.67% |
| LilahRPG vs Raven | 17–4 | 80.95% |
| LilahRPG vs Anna | 13–7 | 65.00% |
| LilahRPG vs Azucena | 9–8 | 52.94% |
| LilahRPG vs Nina | 10–6 | 62.50% |
| LilahRPG vs Victor | 7–7 | 50.00% |
| LilahRPG vs Jack-8 | 6–7 | 46.15% |
| LilahRPG vs Feng | 8–5 | 61.54% |
| LilahRPG vs Alisa | 8–5 | 61.54% |
| LilahRPG vs Claudio | 6–6 | 50.00% |
| LilahRPG vs Jun | 9–1 | 90.00% |
| LilahRPG vs Xiaoyu | 5–4 | 55.56% |
| LilahRPG vs Leroy | 4–4 | 50.00% |
| LilahRPG vs Armor King | 3–5 | 37.50% |
| LilahRPG vs Leo | 5–2 | 71.43% |
| LilahRPG vs Zafina | 6–1 | 85.71% |
| LilahRPG vs Kuma | 3–2 | 60.00% |
| LilahRPG vs Panda | 3–2 | 60.00% |
| LilahRPG vs Eddy | 3–2 | 60.00% |
| LilahRPG vs Shaheen | 1–2 | 33.33% |
| LilahRPG vs Fahkumram | 2–0 | 100.00% |
| LilahRPG vs Lidia | 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.