| LucarioFN vs King | 13–6 | 68.42% |
| LucarioFN vs Heihachi | 15–3 | 83.33% |
| LucarioFN vs Azucena | 10–5 | 66.67% |
| LucarioFN vs Steve | 10–4 | 71.43% |
| LucarioFN vs Bryan | 5–7 | 41.67% |
| LucarioFN vs Leroy | 7–5 | 58.33% |
| LucarioFN vs Jin | 5–5 | 50.00% |
| LucarioFN vs Kazuya | 10–0 | 100.00% |
| LucarioFN vs Dragunov | 8–2 | 80.00% |
| LucarioFN vs Anna | 7–2 | 77.78% |
| LucarioFN vs Law | 2–6 | 25.00% |
| LucarioFN vs Xiaoyu | 2–6 | 25.00% |
| LucarioFN vs Hwoarang | 6–1 | 85.71% |
| LucarioFN vs Asuka | 2–5 | 28.57% |
| LucarioFN vs Eddy | 6–1 | 85.71% |
| LucarioFN vs Yoshimitsu | 4–2 | 66.67% |
| LucarioFN vs Lili | 5–1 | 83.33% |
| LucarioFN vs Lee | 5–0 | 100.00% |
| LucarioFN vs Miary Zo | 2–3 | 40.00% |
| LucarioFN vs Devil Jin | 0–4 | 0.00% |
| LucarioFN vs Lidia | 3–1 | 75.00% |
| LucarioFN vs Armor King | 2–2 | 50.00% |
| LucarioFN vs Claudio | 1–2 | 33.33% |
| LucarioFN vs Jun | 2–1 | 66.67% |
| LucarioFN vs Reina | 1–2 | 33.33% |
| LucarioFN vs Jack-8 | 2–0 | 100.00% |
| LucarioFN vs Feng | 0–2 | 0.00% |
| LucarioFN vs Lars | 2–0 | 100.00% |
| LucarioFN vs Alisa | 2–0 | 100.00% |
| LucarioFN vs Shaheen | 0–2 | 0.00% |
| LucarioFN vs Clive | 2–0 | 100.00% |
| LucarioFN vs Fahkumram | 0–2 | 0.00% |
| LucarioFN vs Leo | 0–1 | 0.00% |
| LucarioFN vs Kuma | 1–0 | 100.00% |
| LucarioFN vs Victor | 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.