| Luimalf vs Jin | 37–39 | 48.68% |
| Luimalf vs Kazuya | 44–29 | 60.27% |
| Luimalf vs Law | 30–29 | 50.85% |
| Luimalf vs Bryan | 22–34 | 39.29% |
| Luimalf vs King | 22–28 | 44.00% |
| Luimalf vs Reina | 25–15 | 62.50% |
| Luimalf vs Steve | 19–20 | 48.72% |
| Luimalf vs Paul | 18–14 | 56.25% |
| Luimalf vs Lili | 18–13 | 58.06% |
| Luimalf vs Yoshimitsu | 16–14 | 53.33% |
| Luimalf vs Dragunov | 12–15 | 44.44% |
| Luimalf vs Eddy | 15–11 | 57.69% |
| Luimalf vs Feng | 12–11 | 52.17% |
| Luimalf vs Lee | 9–13 | 40.91% |
| Luimalf vs Azucena | 14–7 | 66.67% |
| Luimalf vs Xiaoyu | 11–9 | 55.00% |
| Luimalf vs Devil Jin | 9–11 | 45.00% |
| Luimalf vs Hwoarang | 12–7 | 63.16% |
| Luimalf vs Asuka | 12–7 | 63.16% |
| Luimalf vs Jun | 9–9 | 50.00% |
| Luimalf vs Leroy | 7–9 | 43.75% |
| Luimalf vs Alisa | 2–13 | 13.33% |
| Luimalf vs Leo | 5–8 | 38.46% |
| Luimalf vs Victor | 5–8 | 38.46% |
| Luimalf vs Heihachi | 6–6 | 50.00% |
| Luimalf vs Lidia | 1–10 | 9.09% |
| Luimalf vs Jack-8 | 5–5 | 50.00% |
| Luimalf vs Nina | 6–4 | 60.00% |
| Luimalf vs Lars | 4–4 | 50.00% |
| Luimalf vs Claudio | 2–6 | 25.00% |
| Luimalf vs Clive | 4–3 | 57.14% |
| Luimalf vs Shaheen | 2–3 | 40.00% |
| Luimalf vs Kuma | 2–3 | 40.00% |
| Luimalf vs Raven | 3–2 | 60.00% |
| Luimalf vs Zafina | 3–1 | 75.00% |
| Luimalf vs Panda | 0–2 | 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.