| fdlc vs Kazuya | 31–17 | 64.58% |
| fdlc vs Jin | 20–26 | 43.48% |
| fdlc vs Law | 15–22 | 40.54% |
| fdlc vs Paul | 12–18 | 40.00% |
| fdlc vs King | 18–11 | 62.07% |
| fdlc vs Bryan | 20–9 | 68.97% |
| fdlc vs Hwoarang | 20–7 | 74.07% |
| fdlc vs Yoshimitsu | 14–12 | 53.85% |
| fdlc vs Lili | 12–13 | 48.00% |
| fdlc vs Clive | 14–10 | 58.33% |
| fdlc vs Dragunov | 11–12 | 47.83% |
| fdlc vs Armor King | 15–7 | 68.18% |
| fdlc vs Heihachi | 14–7 | 66.67% |
| fdlc vs Steve | 9–11 | 45.00% |
| fdlc vs Fahkumram | 8–6 | 57.14% |
| fdlc vs Jun | 9–4 | 69.23% |
| fdlc vs Reina | 9–4 | 69.23% |
| fdlc vs Azucena | 6–7 | 46.15% |
| fdlc vs Victor | 5–8 | 38.46% |
| fdlc vs Lidia | 8–5 | 61.54% |
| fdlc vs Asuka | 7–4 | 63.64% |
| fdlc vs Lee | 7–4 | 63.64% |
| fdlc vs Xiaoyu | 6–4 | 60.00% |
| fdlc vs Leo | 7–3 | 70.00% |
| fdlc vs Devil Jin | 3–6 | 33.33% |
| fdlc vs Claudio | 5–4 | 55.56% |
| fdlc vs Anna | 4–5 | 44.44% |
| fdlc vs Feng | 5–3 | 62.50% |
| fdlc vs Alisa | 5–3 | 62.50% |
| fdlc vs Nina | 7–1 | 87.50% |
| fdlc vs Raven | 3–4 | 42.86% |
| fdlc vs Eddy | 4–3 | 57.14% |
| fdlc vs Jack-8 | 2–3 | 40.00% |
| fdlc vs Lars | 2–3 | 40.00% |
| fdlc vs Kuma | 3–0 | 100.00% |
| fdlc vs Panda | 2–1 | 66.67% |
| fdlc vs Leroy | 2–1 | 66.67% |
| fdlc vs Shaheen | 2–0 | 100.00% |
| fdlc vs Miary Zo | 0–1 | 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.