| fufujoon vs King | 43–102 | 29.66% |
| fufujoon vs Steve | 56–78 | 41.79% |
| fufujoon vs Jin | 50–76 | 39.68% |
| fufujoon vs Reina | 45–64 | 41.28% |
| fufujoon vs Kazuya | 35–70 | 33.33% |
| fufujoon vs Hwoarang | 33–52 | 38.82% |
| fufujoon vs Bryan | 36–47 | 43.37% |
| fufujoon vs Eddy | 27–55 | 32.93% |
| fufujoon vs Law | 26–52 | 33.33% |
| fufujoon vs Dragunov | 32–37 | 46.38% |
| fufujoon vs Azucena | 24–42 | 36.36% |
| fufujoon vs Paul | 21–40 | 34.43% |
| fufujoon vs Asuka | 21–37 | 36.21% |
| fufujoon vs Jun | 22–36 | 37.93% |
| fufujoon vs Victor | 18–39 | 31.58% |
| fufujoon vs Heihachi | 26–30 | 46.43% |
| fufujoon vs Lidia | 16–34 | 32.00% |
| fufujoon vs Nina | 18–30 | 37.50% |
| fufujoon vs Clive | 19–29 | 39.58% |
| fufujoon vs Lili | 20–27 | 42.55% |
| fufujoon vs Lee | 27–20 | 57.45% |
| fufujoon vs Yoshimitsu | 16–25 | 39.02% |
| fufujoon vs Lars | 18–22 | 45.00% |
| fufujoon vs Raven | 16–22 | 42.11% |
| fufujoon vs Xiaoyu | 20–14 | 58.82% |
| fufujoon vs Leroy | 13–20 | 39.39% |
| fufujoon vs Leo | 13–18 | 41.94% |
| fufujoon vs Devil Jin | 8–17 | 32.00% |
| fufujoon vs Feng | 13–11 | 54.17% |
| fufujoon vs Alisa | 9–15 | 37.50% |
| fufujoon vs Claudio | 6–13 | 31.58% |
| fufujoon vs Zafina | 8–9 | 47.06% |
| fufujoon vs Jack-8 | 5–11 | 31.25% |
| fufujoon vs Shaheen | 0–11 | 0.00% |
| fufujoon vs Kuma | 0–10 | 0.00% |
| fufujoon vs Panda | 2–3 | 40.00% |
| fufujoon vs Anna | 1–4 | 20.00% |
| fufujoon vs Armor King | 0–3 | 0.00% |
| fufujoon vs Fahkumram | 2–0 | 100.00% |
| fufujoon vs Miary Zo | 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.