| Lolo amour vs Jin | 21–18 | 53.85% |
| Lolo amour vs Kazuya | 22–16 | 57.89% |
| Lolo amour vs Dragunov | 17–13 | 56.67% |
| Lolo amour vs Fahkumram | 20–8 | 71.43% |
| Lolo amour vs Law | 19–8 | 70.37% |
| Lolo amour vs King | 16–10 | 61.54% |
| Lolo amour vs Lili | 21–4 | 84.00% |
| Lolo amour vs Paul | 12–8 | 60.00% |
| Lolo amour vs Reina | 9–11 | 45.00% |
| Lolo amour vs Armor King | 12–8 | 60.00% |
| Lolo amour vs Bryan | 10–9 | 52.63% |
| Lolo amour vs Hwoarang | 4–13 | 23.53% |
| Lolo amour vs Eddy | 6–8 | 42.86% |
| Lolo amour vs Heihachi | 8–6 | 57.14% |
| Lolo amour vs Nina | 6–7 | 46.15% |
| Lolo amour vs Steve | 7–5 | 58.33% |
| Lolo amour vs Lars | 6–6 | 50.00% |
| Lolo amour vs Lee | 7–4 | 63.64% |
| Lolo amour vs Victor | 6–5 | 54.55% |
| Lolo amour vs Yoshimitsu | 6–4 | 60.00% |
| Lolo amour vs Devil Jin | 3–7 | 30.00% |
| Lolo amour vs Clive | 2–8 | 20.00% |
| Lolo amour vs Zafina | 2–7 | 22.22% |
| Lolo amour vs Jun | 1–8 | 11.11% |
| Lolo amour vs Azucena | 8–1 | 88.89% |
| Lolo amour vs Leo | 5–3 | 62.50% |
| Lolo amour vs Shaheen | 4–4 | 50.00% |
| Lolo amour vs Alisa | 3–4 | 42.86% |
| Lolo amour vs Kuma | 5–2 | 71.43% |
| Lolo amour vs Anna | 3–4 | 42.86% |
| Lolo amour vs Lidia | 4–2 | 66.67% |
| Lolo amour vs Feng | 4–1 | 80.00% |
| Lolo amour vs Claudio | 3–2 | 60.00% |
| Lolo amour vs Raven | 3–2 | 60.00% |
| Lolo amour vs Xiaoyu | 1–3 | 25.00% |
| Lolo amour vs Leroy | 2–2 | 50.00% |
| Lolo amour vs Asuka | 3–0 | 100.00% |
| Lolo amour vs Jack-8 | 0–2 | 0.00% |
| Lolo amour vs Miary Zo | 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.