| Lilg noobplay vs Reina | 7–1 | 87.50% |
| Lilg noobplay vs Steve | 7–0 | 100.00% |
| Lilg noobplay vs Bryan | 6–0 | 100.00% |
| Lilg noobplay vs Jin | 4–1 | 80.00% |
| Lilg noobplay vs Kazuya | 4–1 | 80.00% |
| Lilg noobplay vs Yoshimitsu | 4–1 | 80.00% |
| Lilg noobplay vs Feng | 3–2 | 60.00% |
| Lilg noobplay vs Law | 3–1 | 75.00% |
| Lilg noobplay vs Alisa | 3–1 | 75.00% |
| Lilg noobplay vs Lars | 3–0 | 100.00% |
| Lilg noobplay vs Hwoarang | 3–0 | 100.00% |
| Lilg noobplay vs Leo | 2–1 | 66.67% |
| Lilg noobplay vs Dragunov | 2–0 | 100.00% |
| Lilg noobplay vs Victor | 2–0 | 100.00% |
| Lilg noobplay vs Devil Jin | 1–0 | 100.00% |
| Lilg noobplay vs Lili | 1–0 | 100.00% |
| Lilg noobplay vs Nina | 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.