| Llnc vs Clive | 46–35 | 56.79% |
| Llnc vs Jin | 38–36 | 51.35% |
| Llnc vs Kazuya | 46–28 | 62.16% |
| Llnc vs Dragunov | 40–32 | 55.56% |
| Llnc vs Reina | 38–30 | 55.88% |
| Llnc vs King | 32–35 | 47.76% |
| Llnc vs Bryan | 36–25 | 59.02% |
| Llnc vs Steve | 22–32 | 40.74% |
| Llnc vs Lili | 25–14 | 64.10% |
| Llnc vs Heihachi | 18–18 | 50.00% |
| Llnc vs Hwoarang | 9–23 | 28.12% |
| Llnc vs Paul | 15–14 | 51.72% |
| Llnc vs Law | 14–15 | 48.28% |
| Llnc vs Jun | 12–16 | 42.86% |
| Llnc vs Victor | 8–20 | 28.57% |
| Llnc vs Lars | 13–12 | 52.00% |
| Llnc vs Asuka | 16–7 | 69.57% |
| Llnc vs Alisa | 9–13 | 40.91% |
| Llnc vs Yoshimitsu | 8–11 | 42.11% |
| Llnc vs Nina | 11–7 | 61.11% |
| Llnc vs Eddy | 10–7 | 58.82% |
| Llnc vs Azucena | 2–13 | 13.33% |
| Llnc vs Leo | 9–5 | 64.29% |
| Llnc vs Devil Jin | 2–10 | 16.67% |
| Llnc vs Feng | 3–9 | 25.00% |
| Llnc vs Lee | 7–5 | 58.33% |
| Llnc vs Claudio | 5–6 | 45.45% |
| Llnc vs Leroy | 3–7 | 30.00% |
| Llnc vs Fahkumram | 4–6 | 40.00% |
| Llnc vs Jack-8 | 4–5 | 44.44% |
| Llnc vs Kuma | 4–5 | 44.44% |
| Llnc vs Shaheen | 5–3 | 62.50% |
| Llnc vs Anna | 6–2 | 75.00% |
| Llnc vs Xiaoyu | 2–5 | 28.57% |
| Llnc vs Raven | 2–4 | 33.33% |
| Llnc vs Lidia | 0–6 | 0.00% |
| Llnc vs Zafina | 1–2 | 33.33% |
| Llnc vs Armor King | 2–0 | 100.00% |
| Llnc vs Panda | 1–0 | 100.00% |
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.