| Febeo vs Bryan | 23–23 | 50.00% |
| Febeo vs Kazuya | 28–14 | 66.67% |
| Febeo vs Jin | 21–18 | 53.85% |
| Febeo vs King | 16–16 | 50.00% |
| Febeo vs Steve | 17–14 | 54.84% |
| Febeo vs Hwoarang | 11–16 | 40.74% |
| Febeo vs Law | 16–5 | 76.19% |
| Febeo vs Yoshimitsu | 10–11 | 47.62% |
| Febeo vs Lili | 15–6 | 71.43% |
| Febeo vs Dragunov | 16–5 | 76.19% |
| Febeo vs Victor | 11–8 | 57.89% |
| Febeo vs Heihachi | 9–9 | 50.00% |
| Febeo vs Reina | 12–4 | 75.00% |
| Febeo vs Jun | 10–5 | 66.67% |
| Febeo vs Lars | 10–4 | 71.43% |
| Febeo vs Lidia | 7–7 | 50.00% |
| Febeo vs Devil Jin | 9–4 | 69.23% |
| Febeo vs Leroy | 9–4 | 69.23% |
| Febeo vs Eddy | 5–8 | 38.46% |
| Febeo vs Lee | 5–7 | 41.67% |
| Febeo vs Azucena | 11–1 | 91.67% |
| Febeo vs Xiaoyu | 11–0 | 100.00% |
| Febeo vs Paul | 4–6 | 40.00% |
| Febeo vs Asuka | 4–6 | 40.00% |
| Febeo vs Armor King | 7–3 | 70.00% |
| Febeo vs Claudio | 1–8 | 11.11% |
| Febeo vs Anna | 6–3 | 66.67% |
| Febeo vs Fahkumram | 2–7 | 22.22% |
| Febeo vs Nina | 2–4 | 33.33% |
| Febeo vs Clive | 3–3 | 50.00% |
| Febeo vs Zafina | 3–2 | 60.00% |
| Febeo vs Jack-8 | 2–2 | 50.00% |
| Febeo vs Alisa | 2–2 | 50.00% |
| Febeo vs Feng | 1–2 | 33.33% |
| Febeo vs Leo | 2–1 | 66.67% |
| Febeo vs Shaheen | 1–2 | 33.33% |
| Febeo vs Raven | 1–2 | 33.33% |
| Febeo vs Kuma | 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.