| faky vs Jin | 34–64 | 34.69% |
| faky vs Reina | 35–58 | 37.63% |
| faky vs Kazuya | 48–42 | 53.33% |
| faky vs King | 31–37 | 45.59% |
| faky vs Yoshimitsu | 28–36 | 43.75% |
| faky vs Bryan | 15–36 | 29.41% |
| faky vs Lili | 22–29 | 43.14% |
| faky vs Dragunov | 21–28 | 42.86% |
| faky vs Jun | 15–29 | 34.09% |
| faky vs Steve | 16–26 | 38.10% |
| faky vs Azucena | 21–21 | 50.00% |
| faky vs Law | 19–22 | 46.34% |
| faky vs Hwoarang | 16–21 | 43.24% |
| faky vs Lee | 20–17 | 54.05% |
| faky vs Leo | 13–18 | 41.94% |
| faky vs Alisa | 15–16 | 48.39% |
| faky vs Heihachi | 11–18 | 37.93% |
| faky vs Devil Jin | 11–17 | 39.29% |
| faky vs Paul | 11–11 | 50.00% |
| faky vs Asuka | 5–16 | 23.81% |
| faky vs Xiaoyu | 11–9 | 55.00% |
| faky vs Feng | 10–10 | 50.00% |
| faky vs Victor | 7–13 | 35.00% |
| faky vs Shaheen | 5–14 | 26.32% |
| faky vs Lidia | 10–9 | 52.63% |
| faky vs Leroy | 10–8 | 55.56% |
| faky vs Nina | 10–7 | 58.82% |
| faky vs Lars | 6–10 | 37.50% |
| faky vs Zafina | 9–7 | 56.25% |
| faky vs Eddy | 3–12 | 20.00% |
| faky vs Jack-8 | 5–8 | 38.46% |
| faky vs Kuma | 3–9 | 25.00% |
| faky vs Panda | 7–4 | 63.64% |
| faky vs Raven | 3–3 | 50.00% |
| faky vs Clive | 2–2 | 50.00% |
| faky vs Armor King | 4–0 | 100.00% |
| faky vs Miary Zo | 2–2 | 50.00% |
| faky vs Claudio | 1–2 | 33.33% |
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.