| GoatedLemur vs Jin | 15–28 | 34.88% |
| GoatedLemur vs Reina | 21–21 | 50.00% |
| GoatedLemur vs Hwoarang | 13–20 | 39.39% |
| GoatedLemur vs King | 9–18 | 33.33% |
| GoatedLemur vs Steve | 13–12 | 52.00% |
| GoatedLemur vs Law | 5–17 | 22.73% |
| GoatedLemur vs Bryan | 10–12 | 45.45% |
| GoatedLemur vs Jun | 5–12 | 29.41% |
| GoatedLemur vs Lili | 12–4 | 75.00% |
| GoatedLemur vs Lee | 4–12 | 25.00% |
| GoatedLemur vs Paul | 6–9 | 40.00% |
| GoatedLemur vs Kazuya | 7–8 | 46.67% |
| GoatedLemur vs Nina | 5–9 | 35.71% |
| GoatedLemur vs Asuka | 6–7 | 46.15% |
| GoatedLemur vs Dragunov | 8–4 | 66.67% |
| GoatedLemur vs Raven | 7–5 | 58.33% |
| GoatedLemur vs Eddy | 4–8 | 33.33% |
| GoatedLemur vs Kuma | 6–5 | 54.55% |
| GoatedLemur vs Yoshimitsu | 6–4 | 60.00% |
| GoatedLemur vs Devil Jin | 5–5 | 50.00% |
| GoatedLemur vs Lars | 3–5 | 37.50% |
| GoatedLemur vs Leroy | 6–2 | 75.00% |
| GoatedLemur vs Victor | 1–6 | 14.29% |
| GoatedLemur vs Jack-8 | 2–4 | 33.33% |
| GoatedLemur vs Azucena | 0–6 | 0.00% |
| GoatedLemur vs Xiaoyu | 1–4 | 20.00% |
| GoatedLemur vs Feng | 3–2 | 60.00% |
| GoatedLemur vs Alisa | 1–4 | 20.00% |
| GoatedLemur vs Leo | 2–2 | 50.00% |
| GoatedLemur vs Shaheen | 2–1 | 66.67% |
| GoatedLemur vs Panda | 1–2 | 33.33% |
| GoatedLemur vs Claudio | 0–2 | 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.