| FB_Lilac vs Law | 25–36 | 40.98% |
| FB_Lilac vs King | 26–20 | 56.52% |
| FB_Lilac vs Steve | 18–25 | 41.86% |
| FB_Lilac vs Azucena | 15–24 | 38.46% |
| FB_Lilac vs Jin | 17–18 | 48.57% |
| FB_Lilac vs Reina | 12–22 | 35.29% |
| FB_Lilac vs Kazuya | 12–20 | 37.50% |
| FB_Lilac vs Dragunov | 13–19 | 40.62% |
| FB_Lilac vs Heihachi | 12–16 | 42.86% |
| FB_Lilac vs Clive | 10–17 | 37.04% |
| FB_Lilac vs Armor King | 13–12 | 52.00% |
| FB_Lilac vs Hwoarang | 12–10 | 54.55% |
| FB_Lilac vs Xiaoyu | 8–13 | 38.10% |
| FB_Lilac vs Asuka | 10–10 | 50.00% |
| FB_Lilac vs Lidia | 10–9 | 52.63% |
| FB_Lilac vs Fahkumram | 6–13 | 31.58% |
| FB_Lilac vs Feng | 10–7 | 58.82% |
| FB_Lilac vs Jun | 8–9 | 47.06% |
| FB_Lilac vs Victor | 5–12 | 29.41% |
| FB_Lilac vs Raven | 8–9 | 47.06% |
| FB_Lilac vs Lee | 5–10 | 33.33% |
| FB_Lilac vs Lili | 0–14 | 0.00% |
| FB_Lilac vs Bryan | 5–8 | 38.46% |
| FB_Lilac vs Yoshimitsu | 6–6 | 50.00% |
| FB_Lilac vs Alisa | 5–7 | 41.67% |
| FB_Lilac vs Nina | 6–6 | 50.00% |
| FB_Lilac vs Paul | 5–6 | 45.45% |
| FB_Lilac vs Eddy | 3–8 | 27.27% |
| FB_Lilac vs Devil Jin | 3–6 | 33.33% |
| FB_Lilac vs Leo | 7–2 | 77.78% |
| FB_Lilac vs Lars | 3–5 | 37.50% |
| FB_Lilac vs Leroy | 6–2 | 75.00% |
| FB_Lilac vs Anna | 4–4 | 50.00% |
| FB_Lilac vs Shaheen | 1–4 | 20.00% |
| FB_Lilac vs Miary Zo | 1–3 | 25.00% |
| FB_Lilac vs Jack-8 | 2–1 | 66.67% |
| FB_Lilac vs Claudio | 1–2 | 33.33% |
| FB_Lilac vs Panda | 2–1 | 66.67% |
| FB_Lilac vs Zafina | 1–2 | 33.33% |
| FB_Lilac vs Kuma | 1–0 | 100.00% |
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.