| Lady_Laulau vs Law | 5–15 | 25.00% |
| Lady_Laulau vs Lili | 8–8 | 50.00% |
| Lady_Laulau vs King | 5–7 | 41.67% |
| Lady_Laulau vs Steve | 3–9 | 25.00% |
| Lady_Laulau vs Hwoarang | 0–7 | 0.00% |
| Lady_Laulau vs Reina | 5–2 | 71.43% |
| Lady_Laulau vs Bryan | 1–5 | 16.67% |
| Lady_Laulau vs Lars | 2–4 | 33.33% |
| Lady_Laulau vs Jin | 1–4 | 20.00% |
| Lady_Laulau vs Devil Jin | 2–3 | 40.00% |
| Lady_Laulau vs Jun | 2–3 | 40.00% |
| Lady_Laulau vs Eddy | 0–5 | 0.00% |
| Lady_Laulau vs Dragunov | 1–3 | 25.00% |
| Lady_Laulau vs Alisa | 2–2 | 50.00% |
| Lady_Laulau vs Azucena | 0–4 | 0.00% |
| Lady_Laulau vs Fahkumram | 2–2 | 50.00% |
| Lady_Laulau vs Miary Zo | 0–4 | 0.00% |
| Lady_Laulau vs Yoshimitsu | 1–2 | 33.33% |
| Lady_Laulau vs Xiaoyu | 1–2 | 33.33% |
| Lady_Laulau vs Kazuya | 0–3 | 0.00% |
| Lady_Laulau vs Leo | 1–2 | 33.33% |
| Lady_Laulau vs Nina | 0–3 | 0.00% |
| Lady_Laulau vs Lee | 2–1 | 66.67% |
| Lady_Laulau vs Victor | 1–2 | 33.33% |
| Lady_Laulau vs Armor King | 0–3 | 0.00% |
| Lady_Laulau vs Paul | 2–0 | 100.00% |
| Lady_Laulau vs Kuma | 1–1 | 50.00% |
| Lady_Laulau vs Leroy | 0–2 | 0.00% |
| Lady_Laulau vs Heihachi | 1–1 | 50.00% |
| Lady_Laulau vs Clive | 0–2 | 0.00% |
| Lady_Laulau vs Feng | 1–0 | 100.00% |
| Lady_Laulau vs Shaheen | 0–1 | 0.00% |
| Lady_Laulau vs Zafina | 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.