| DampCouch vs Kazuya | 16–8 | 66.67% |
| DampCouch vs Bryan | 11–10 | 52.38% |
| DampCouch vs Reina | 15–6 | 71.43% |
| DampCouch vs Hwoarang | 12–7 | 63.16% |
| DampCouch vs Lee | 8–8 | 50.00% |
| DampCouch vs King | 13–1 | 92.86% |
| DampCouch vs Jin | 10–4 | 71.43% |
| DampCouch vs Lili | 9–3 | 75.00% |
| DampCouch vs Jun | 11–1 | 91.67% |
| DampCouch vs Armor King | 2–10 | 16.67% |
| DampCouch vs Dragunov | 7–3 | 70.00% |
| DampCouch vs Paul | 6–1 | 85.71% |
| DampCouch vs Xiaoyu | 5–2 | 71.43% |
| DampCouch vs Asuka | 7–0 | 100.00% |
| DampCouch vs Leo | 5–2 | 71.43% |
| DampCouch vs Nina | 6–1 | 85.71% |
| DampCouch vs Eddy | 6–1 | 85.71% |
| DampCouch vs Jack-8 | 4–2 | 66.67% |
| DampCouch vs Lars | 3–3 | 50.00% |
| DampCouch vs Leroy | 0–6 | 0.00% |
| DampCouch vs Heihachi | 4–2 | 66.67% |
| DampCouch vs Zafina | 3–2 | 60.00% |
| DampCouch vs Azucena | 5–0 | 100.00% |
| DampCouch vs Victor | 4–1 | 80.00% |
| DampCouch vs Yoshimitsu | 4–0 | 100.00% |
| DampCouch vs Feng | 2–2 | 50.00% |
| DampCouch vs Anna | 2–2 | 50.00% |
| DampCouch vs Fahkumram | 1–3 | 25.00% |
| DampCouch vs Steve | 1–2 | 33.33% |
| DampCouch vs Panda | 3–0 | 100.00% |
| DampCouch vs Law | 2–0 | 100.00% |
| DampCouch vs Kuma | 2–0 | 100.00% |
| DampCouch vs Lidia | 2–0 | 100.00% |
| DampCouch vs Alisa | 1–0 | 100.00% |
| DampCouch vs Clive | 1–0 | 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.