| LVLINO vs Law | 21–16 | 56.76% |
| LVLINO vs Kazuya | 14–18 | 43.75% |
| LVLINO vs King | 23–6 | 79.31% |
| LVLINO vs Jin | 17–11 | 60.71% |
| LVLINO vs Heihachi | 17–11 | 60.71% |
| LVLINO vs Yoshimitsu | 10–14 | 41.67% |
| LVLINO vs Steve | 13–11 | 54.17% |
| LVLINO vs Jun | 8–13 | 38.10% |
| LVLINO vs Eddy | 9–12 | 42.86% |
| LVLINO vs Hwoarang | 7–11 | 38.89% |
| LVLINO vs Jack-8 | 9–9 | 50.00% |
| LVLINO vs Victor | 8–10 | 44.44% |
| LVLINO vs Clive | 7–11 | 38.89% |
| LVLINO vs Bryan | 4–12 | 25.00% |
| LVLINO vs Dragunov | 8–8 | 50.00% |
| LVLINO vs Armor King | 8–8 | 50.00% |
| LVLINO vs Paul | 9–6 | 60.00% |
| LVLINO vs Asuka | 10–4 | 71.43% |
| LVLINO vs Devil Jin | 3–11 | 21.43% |
| LVLINO vs Lili | 3–11 | 21.43% |
| LVLINO vs Alisa | 6–8 | 42.86% |
| LVLINO vs Feng | 5–8 | 38.46% |
| LVLINO vs Reina | 8–5 | 61.54% |
| LVLINO vs Xiaoyu | 5–7 | 41.67% |
| LVLINO vs Azucena | 7–4 | 63.64% |
| LVLINO vs Fahkumram | 6–4 | 60.00% |
| LVLINO vs Claudio | 2–6 | 25.00% |
| LVLINO vs Nina | 4–3 | 57.14% |
| LVLINO vs Lars | 3–3 | 50.00% |
| LVLINO vs Anna | 3–3 | 50.00% |
| LVLINO vs Lee | 2–3 | 40.00% |
| LVLINO vs Raven | 3–2 | 60.00% |
| LVLINO vs Lidia | 1–4 | 20.00% |
| LVLINO vs Kuma | 2–2 | 50.00% |
| LVLINO vs Zafina | 3–1 | 75.00% |
| LVLINO vs Shaheen | 2–1 | 66.67% |
| LVLINO vs Leo | 2–0 | 100.00% |
| LVLINO vs Leroy | 1–1 | 50.00% |
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.