| SnackFuu vs Clive | 59–60 | 49.58% |
| SnackFuu vs Reina | 38–30 | 55.88% |
| SnackFuu vs Jin | 21–26 | 44.68% |
| SnackFuu vs Hwoarang | 23–20 | 53.49% |
| SnackFuu vs Steve | 29–12 | 70.73% |
| SnackFuu vs Law | 21–15 | 58.33% |
| SnackFuu vs Azucena | 17–13 | 56.67% |
| SnackFuu vs Eddy | 10–20 | 33.33% |
| SnackFuu vs King | 10–15 | 40.00% |
| SnackFuu vs Lili | 8–17 | 32.00% |
| SnackFuu vs Jun | 16–9 | 64.00% |
| SnackFuu vs Paul | 8–13 | 38.10% |
| SnackFuu vs Kazuya | 8–13 | 38.10% |
| SnackFuu vs Nina | 10–11 | 47.62% |
| SnackFuu vs Dragunov | 5–14 | 26.32% |
| SnackFuu vs Lidia | 16–3 | 84.21% |
| SnackFuu vs Lee | 9–9 | 50.00% |
| SnackFuu vs Leroy | 7–10 | 41.18% |
| SnackFuu vs Heihachi | 11–6 | 64.71% |
| SnackFuu vs Yoshimitsu | 5–11 | 31.25% |
| SnackFuu vs Devil Jin | 9–7 | 56.25% |
| SnackFuu vs Claudio | 9–7 | 56.25% |
| SnackFuu vs Kuma | 7–9 | 43.75% |
| SnackFuu vs Bryan | 5–10 | 33.33% |
| SnackFuu vs Victor | 10–3 | 76.92% |
| SnackFuu vs Asuka | 7–5 | 58.33% |
| SnackFuu vs Alisa | 7–5 | 58.33% |
| SnackFuu vs Xiaoyu | 8–2 | 80.00% |
| SnackFuu vs Lars | 5–4 | 55.56% |
| SnackFuu vs Zafina | 6–3 | 66.67% |
| SnackFuu vs Raven | 5–4 | 55.56% |
| SnackFuu vs Leo | 7–0 | 100.00% |
| SnackFuu vs Feng | 1–2 | 33.33% |
| SnackFuu vs Shaheen | 1–1 | 50.00% |
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.