| Lilaznxtony vs Jin | 70–64 | 52.24% |
| Lilaznxtony vs King | 59–62 | 48.76% |
| Lilaznxtony vs Kazuya | 60–42 | 58.82% |
| Lilaznxtony vs Reina | 40–43 | 48.19% |
| Lilaznxtony vs Law | 30–50 | 37.50% |
| Lilaznxtony vs Bryan | 36–43 | 45.57% |
| Lilaznxtony vs Steve | 42–37 | 53.16% |
| Lilaznxtony vs Eddy | 44–35 | 55.70% |
| Lilaznxtony vs Hwoarang | 48–30 | 61.54% |
| Lilaznxtony vs Lee | 29–35 | 45.31% |
| Lilaznxtony vs Paul | 36–24 | 60.00% |
| Lilaznxtony vs Lars | 26–34 | 43.33% |
| Lilaznxtony vs Yoshimitsu | 22–36 | 37.93% |
| Lilaznxtony vs Dragunov | 26–32 | 44.83% |
| Lilaznxtony vs Victor | 29–24 | 54.72% |
| Lilaznxtony vs Jun | 19–32 | 37.25% |
| Lilaznxtony vs Asuka | 25–24 | 51.02% |
| Lilaznxtony vs Nina | 24–25 | 48.98% |
| Lilaznxtony vs Xiaoyu | 28–20 | 58.33% |
| Lilaznxtony vs Leo | 27–19 | 58.70% |
| Lilaznxtony vs Lili | 17–26 | 39.53% |
| Lilaznxtony vs Azucena | 21–21 | 50.00% |
| Lilaznxtony vs Feng | 21–19 | 52.50% |
| Lilaznxtony vs Leroy | 14–24 | 36.84% |
| Lilaznxtony vs Devil Jin | 19–17 | 52.78% |
| Lilaznxtony vs Jack-8 | 11–19 | 36.67% |
| Lilaznxtony vs Raven | 13–17 | 43.33% |
| Lilaznxtony vs Clive | 14–11 | 56.00% |
| Lilaznxtony vs Alisa | 10–13 | 43.48% |
| Lilaznxtony vs Shaheen | 7–15 | 31.82% |
| Lilaznxtony vs Zafina | 13–8 | 61.90% |
| Lilaznxtony vs Kuma | 9–11 | 45.00% |
| Lilaznxtony vs Claudio | 7–12 | 36.84% |
| Lilaznxtony vs Anna | 6–6 | 50.00% |
| Lilaznxtony vs Lidia | 5–3 | 62.50% |
| Lilaznxtony vs Heihachi | 5–2 | 71.43% |
| Lilaznxtony vs Fahkumram | 6–1 | 85.71% |
| Lilaznxtony vs Armor King | 3–3 | 50.00% |
| Lilaznxtony vs Panda | 3–2 | 60.00% |
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.