| Foofy09 vs Jin | 26–13 | 66.67% |
| Foofy09 vs Hwoarang | 21–16 | 56.76% |
| Foofy09 vs Reina | 21–16 | 56.76% |
| Foofy09 vs King | 22–14 | 61.11% |
| Foofy09 vs Law | 24–9 | 72.73% |
| Foofy09 vs Kazuya | 16–16 | 50.00% |
| Foofy09 vs Yoshimitsu | 14–14 | 50.00% |
| Foofy09 vs Steve | 17–11 | 60.71% |
| Foofy09 vs Eddy | 15–12 | 55.56% |
| Foofy09 vs Bryan | 13–12 | 52.00% |
| Foofy09 vs Lars | 14–9 | 60.87% |
| Foofy09 vs Lili | 5–15 | 25.00% |
| Foofy09 vs Feng | 12–6 | 66.67% |
| Foofy09 vs Lee | 10–7 | 58.82% |
| Foofy09 vs Azucena | 11–6 | 64.71% |
| Foofy09 vs Jack-8 | 8–8 | 50.00% |
| Foofy09 vs Dragunov | 10–6 | 62.50% |
| Foofy09 vs Nina | 11–5 | 68.75% |
| Foofy09 vs Jun | 10–6 | 62.50% |
| Foofy09 vs Asuka | 6–8 | 42.86% |
| Foofy09 vs Xiaoyu | 5–8 | 38.46% |
| Foofy09 vs Victor | 7–6 | 53.85% |
| Foofy09 vs Raven | 7–3 | 70.00% |
| Foofy09 vs Kuma | 6–3 | 66.67% |
| Foofy09 vs Devil Jin | 5–3 | 62.50% |
| Foofy09 vs Leroy | 5–3 | 62.50% |
| Foofy09 vs Paul | 5–2 | 71.43% |
| Foofy09 vs Alisa | 3–4 | 42.86% |
| Foofy09 vs Leo | 4–2 | 66.67% |
| Foofy09 vs Claudio | 4–2 | 66.67% |
| Foofy09 vs Shaheen | 4–1 | 80.00% |
| Foofy09 vs Zafina | 2–2 | 50.00% |
| Foofy09 vs Heihachi | 0–4 | 0.00% |
| Foofy09 vs Lidia | 3–0 | 100.00% |
| Foofy09 vs Panda | 1–1 | 50.00% |
| Foofy09 vs Anna | 0–2 | 0.00% |
| Foofy09 vs Fahkumram | 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.