| Licia O-Lan vs Kazuya | 63–45 | 58.33% |
| Licia O-Lan vs King | 33–34 | 49.25% |
| Licia O-Lan vs Bryan | 35–29 | 54.69% |
| Licia O-Lan vs Law | 29–24 | 54.72% |
| Licia O-Lan vs Steve | 28–25 | 52.83% |
| Licia O-Lan vs Hwoarang | 19–26 | 42.22% |
| Licia O-Lan vs Dragunov | 25–16 | 60.98% |
| Licia O-Lan vs Heihachi | 23–18 | 56.10% |
| Licia O-Lan vs Jin | 20–17 | 54.05% |
| Licia O-Lan vs Jun | 17–17 | 50.00% |
| Licia O-Lan vs Fahkumram | 14–20 | 41.18% |
| Licia O-Lan vs Lili | 11–21 | 34.38% |
| Licia O-Lan vs Paul | 12–18 | 40.00% |
| Licia O-Lan vs Devil Jin | 15–15 | 50.00% |
| Licia O-Lan vs Reina | 16–14 | 53.33% |
| Licia O-Lan vs Azucena | 12–15 | 44.44% |
| Licia O-Lan vs Feng | 7–19 | 26.92% |
| Licia O-Lan vs Lars | 15–11 | 57.69% |
| Licia O-Lan vs Asuka | 12–11 | 52.17% |
| Licia O-Lan vs Leo | 14–7 | 66.67% |
| Licia O-Lan vs Yoshimitsu | 7–13 | 35.00% |
| Licia O-Lan vs Jack-8 | 9–9 | 50.00% |
| Licia O-Lan vs Anna | 7–11 | 38.89% |
| Licia O-Lan vs Claudio | 7–10 | 41.18% |
| Licia O-Lan vs Lidia | 8–9 | 47.06% |
| Licia O-Lan vs Alisa | 10–6 | 62.50% |
| Licia O-Lan vs Leroy | 7–9 | 43.75% |
| Licia O-Lan vs Lee | 7–8 | 46.67% |
| Licia O-Lan vs Clive | 7–7 | 50.00% |
| Licia O-Lan vs Xiaoyu | 6–7 | 46.15% |
| Licia O-Lan vs Victor | 5–8 | 38.46% |
| Licia O-Lan vs Nina | 3–7 | 30.00% |
| Licia O-Lan vs Panda | 5–2 | 71.43% |
| Licia O-Lan vs Eddy | 3–4 | 42.86% |
| Licia O-Lan vs Kuma | 1–4 | 20.00% |
| Licia O-Lan vs Shaheen | 2–0 | 100.00% |
| Licia O-Lan vs Zafina | 2–0 | 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.