| Llus vs Jin | 78–87 | 47.27% |
| Llus vs King | 68–77 | 46.90% |
| Llus vs Kazuya | 61–73 | 45.52% |
| Llus vs Armor King | 55–60 | 47.83% |
| Llus vs Hwoarang | 63–50 | 55.75% |
| Llus vs Law | 57–50 | 53.27% |
| Llus vs Paul | 41–48 | 46.07% |
| Llus vs Bryan | 39–46 | 45.88% |
| Llus vs Steve | 41–44 | 48.24% |
| Llus vs Devil Jin | 37–36 | 50.68% |
| Llus vs Eddy | 33–35 | 48.53% |
| Llus vs Lili | 28–39 | 41.79% |
| Llus vs Dragunov | 30–37 | 44.78% |
| Llus vs Lee | 31–34 | 47.69% |
| Llus vs Yoshimitsu | 23–39 | 37.10% |
| Llus vs Reina | 24–27 | 47.06% |
| Llus vs Fahkumram | 13–32 | 28.89% |
| Llus vs Nina | 15–26 | 36.59% |
| Llus vs Jun | 17–24 | 41.46% |
| Llus vs Lars | 17–22 | 43.59% |
| Llus vs Heihachi | 20–17 | 54.05% |
| Llus vs Asuka | 12–24 | 33.33% |
| Llus vs Feng | 17–19 | 47.22% |
| Llus vs Xiaoyu | 15–20 | 42.86% |
| Llus vs Victor | 20–15 | 57.14% |
| Llus vs Azucena | 12–21 | 36.36% |
| Llus vs Jack-8 | 10–19 | 34.48% |
| Llus vs Leo | 10–15 | 40.00% |
| Llus vs Leroy | 14–9 | 60.87% |
| Llus vs Raven | 15–8 | 65.22% |
| Llus vs Alisa | 8–13 | 38.10% |
| Llus vs Claudio | 4–16 | 20.00% |
| Llus vs Clive | 11–9 | 55.00% |
| Llus vs Shaheen | 5–14 | 26.32% |
| Llus vs Anna | 12–6 | 66.67% |
| Llus vs Zafina | 6–10 | 37.50% |
| Llus vs Kuma | 6–8 | 42.86% |
| Llus vs Lidia | 8–5 | 61.54% |
| Llus vs Panda | 0–3 | 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.