| goofysnacks vs King | 34–55 | 38.20% |
| goofysnacks vs Reina | 21–27 | 43.75% |
| goofysnacks vs Kazuya | 26–21 | 55.32% |
| goofysnacks vs Steve | 13–31 | 29.55% |
| goofysnacks vs Law | 19–23 | 45.24% |
| goofysnacks vs Azucena | 20–21 | 48.78% |
| goofysnacks vs Eddy | 11–30 | 26.83% |
| goofysnacks vs Lars | 15–24 | 38.46% |
| goofysnacks vs Lili | 16–22 | 42.11% |
| goofysnacks vs Hwoarang | 14–22 | 38.89% |
| goofysnacks vs Bryan | 16–20 | 44.44% |
| goofysnacks vs Jin | 14–21 | 40.00% |
| goofysnacks vs Jun | 15–18 | 45.45% |
| goofysnacks vs Lee | 12–16 | 42.86% |
| goofysnacks vs Lidia | 15–11 | 57.69% |
| goofysnacks vs Asuka | 11–12 | 47.83% |
| goofysnacks vs Nina | 8–15 | 34.78% |
| goofysnacks vs Yoshimitsu | 4–18 | 18.18% |
| goofysnacks vs Xiaoyu | 8–14 | 36.36% |
| goofysnacks vs Devil Jin | 4–18 | 18.18% |
| goofysnacks vs Dragunov | 10–12 | 45.45% |
| goofysnacks vs Clive | 9–13 | 40.91% |
| goofysnacks vs Paul | 9–12 | 42.86% |
| goofysnacks vs Leo | 9–11 | 45.00% |
| goofysnacks vs Kuma | 7–8 | 46.67% |
| goofysnacks vs Jack-8 | 5–8 | 38.46% |
| goofysnacks vs Leroy | 4–9 | 30.77% |
| goofysnacks vs Raven | 5–8 | 38.46% |
| goofysnacks vs Alisa | 3–8 | 27.27% |
| goofysnacks vs Claudio | 4–7 | 36.36% |
| goofysnacks vs Zafina | 5–6 | 45.45% |
| goofysnacks vs Feng | 3–7 | 30.00% |
| goofysnacks vs Victor | 3–6 | 33.33% |
| goofysnacks vs Heihachi | 1–6 | 14.29% |
| goofysnacks vs Shaheen | 2–4 | 33.33% |
| goofysnacks vs Panda | 1–3 | 25.00% |
| goofysnacks vs Fahkumram | 2–0 | 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.