| Famgoon_007 vs Hwoarang | 11–11 | 50.00% |
| Famgoon_007 vs Steve | 10–5 | 66.67% |
| Famgoon_007 vs Azucena | 3–6 | 33.33% |
| Famgoon_007 vs King | 7–1 | 87.50% |
| Famgoon_007 vs Dragunov | 3–5 | 37.50% |
| Famgoon_007 vs Reina | 2–5 | 28.57% |
| Famgoon_007 vs Law | 3–3 | 50.00% |
| Famgoon_007 vs Heihachi | 2–4 | 33.33% |
| Famgoon_007 vs Nina | 3–2 | 60.00% |
| Famgoon_007 vs Lidia | 3–2 | 60.00% |
| Famgoon_007 vs Miary Zo | 3–2 | 60.00% |
| Famgoon_007 vs Xiaoyu | 0–4 | 0.00% |
| Famgoon_007 vs Jin | 2–2 | 50.00% |
| Famgoon_007 vs Lili | 2–2 | 50.00% |
| Famgoon_007 vs Lars | 2–2 | 50.00% |
| Famgoon_007 vs Jun | 2–2 | 50.00% |
| Famgoon_007 vs Victor | 4–0 | 100.00% |
| Famgoon_007 vs Bryan | 0–3 | 0.00% |
| Famgoon_007 vs Devil Jin | 1–2 | 33.33% |
| Famgoon_007 vs Lee | 2–1 | 66.67% |
| Famgoon_007 vs Zafina | 1–2 | 33.33% |
| Famgoon_007 vs Armor King | 0–3 | 0.00% |
| Famgoon_007 vs Kazuya | 1–1 | 50.00% |
| Famgoon_007 vs Asuka | 0–2 | 0.00% |
| Famgoon_007 vs Leo | 0–2 | 0.00% |
| Famgoon_007 vs Eddy | 0–2 | 0.00% |
| Famgoon_007 vs Fahkumram | 1–1 | 50.00% |
| Famgoon_007 vs Feng | 0–1 | 0.00% |
| Famgoon_007 vs Alisa | 1–0 | 100.00% |
| Famgoon_007 vs Claudio | 1–0 | 100.00% |
| Famgoon_007 vs Kuma | 1–0 | 100.00% |
| Famgoon_007 vs Clive | 1–0 | 100.00% |
| Famgoon_007 vs Anna | 0–1 | 0.00% |
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.