| Lilac Time vs Kazuya | 59–23 | 71.95% |
| Lilac Time vs Bryan | 45–16 | 73.77% |
| Lilac Time vs Dragunov | 47–10 | 82.46% |
| Lilac Time vs Asuka | 35–14 | 71.43% |
| Lilac Time vs Clive | 33–15 | 68.75% |
| Lilac Time vs Paul | 38–9 | 80.85% |
| Lilac Time vs King | 37–10 | 78.72% |
| Lilac Time vs Reina | 31–16 | 65.96% |
| Lilac Time vs Lee | 32–9 | 78.05% |
| Lilac Time vs Victor | 23–16 | 58.97% |
| Lilac Time vs Hwoarang | 24–12 | 66.67% |
| Lilac Time vs Heihachi | 18–18 | 50.00% |
| Lilac Time vs Azucena | 22–13 | 62.86% |
| Lilac Time vs Lidia | 21–13 | 61.76% |
| Lilac Time vs Devil Jin | 25–7 | 78.12% |
| Lilac Time vs Jin | 19–12 | 61.29% |
| Lilac Time vs Law | 21–9 | 70.00% |
| Lilac Time vs Steve | 21–9 | 70.00% |
| Lilac Time vs Claudio | 23–3 | 88.46% |
| Lilac Time vs Yoshimitsu | 17–8 | 68.00% |
| Lilac Time vs Jun | 20–4 | 83.33% |
| Lilac Time vs Lili | 16–6 | 72.73% |
| Lilac Time vs Nina | 20–2 | 90.91% |
| Lilac Time vs Alisa | 16–2 | 88.89% |
| Lilac Time vs Xiaoyu | 12–5 | 70.59% |
| Lilac Time vs Feng | 8–9 | 47.06% |
| Lilac Time vs Leo | 5–12 | 29.41% |
| Lilac Time vs Zafina | 14–2 | 87.50% |
| Lilac Time vs Miary Zo | 13–3 | 81.25% |
| Lilac Time vs Leroy | 9–6 | 60.00% |
| Lilac Time vs Armor King | 9–6 | 60.00% |
| Lilac Time vs Jack-8 | 8–6 | 57.14% |
| Lilac Time vs Kuma | 9–4 | 69.23% |
| Lilac Time vs Eddy | 8–5 | 61.54% |
| Lilac Time vs Lars | 7–4 | 63.64% |
| Lilac Time vs Shaheen | 7–3 | 70.00% |
| Lilac Time vs Raven | 4–2 | 66.67% |
| Lilac Time vs Panda | 5–0 | 100.00% |
| Lilac Time vs Anna | 2–1 | 66.67% |
| Lilac Time vs Fahkumram | 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.