| kdgyswns vs Reina | 22–19 | 53.66% |
| kdgyswns vs King | 18–14 | 56.25% |
| kdgyswns vs Jin | 16–13 | 55.17% |
| kdgyswns vs Kazuya | 19–8 | 70.37% |
| kdgyswns vs Law | 15–10 | 60.00% |
| kdgyswns vs Paul | 14–8 | 63.64% |
| kdgyswns vs Asuka | 15–7 | 68.18% |
| kdgyswns vs Lili | 10–12 | 45.45% |
| kdgyswns vs Steve | 10–10 | 50.00% |
| kdgyswns vs Hwoarang | 3–15 | 16.67% |
| kdgyswns vs Dragunov | 8–10 | 44.44% |
| kdgyswns vs Yoshimitsu | 11–4 | 73.33% |
| kdgyswns vs Bryan | 7–7 | 50.00% |
| kdgyswns vs Lidia | 6–5 | 54.55% |
| kdgyswns vs Claudio | 2–8 | 20.00% |
| kdgyswns vs Nina | 4–6 | 40.00% |
| kdgyswns vs Leroy | 6–3 | 66.67% |
| kdgyswns vs Azucena | 4–4 | 50.00% |
| kdgyswns vs Eddy | 4–4 | 50.00% |
| kdgyswns vs Devil Jin | 3–4 | 42.86% |
| kdgyswns vs Lars | 3–4 | 42.86% |
| kdgyswns vs Zafina | 3–4 | 42.86% |
| kdgyswns vs Jun | 4–3 | 57.14% |
| kdgyswns vs Victor | 4–3 | 57.14% |
| kdgyswns vs Heihachi | 4–3 | 57.14% |
| kdgyswns vs Jack-8 | 3–2 | 60.00% |
| kdgyswns vs Feng | 0–5 | 0.00% |
| kdgyswns vs Leo | 4–1 | 80.00% |
| kdgyswns vs Alisa | 0–5 | 0.00% |
| kdgyswns vs Shaheen | 1–4 | 20.00% |
| kdgyswns vs Lee | 2–3 | 40.00% |
| kdgyswns vs Raven | 2–3 | 40.00% |
| kdgyswns vs Xiaoyu | 3–0 | 100.00% |
| kdgyswns vs Kuma | 1–2 | 33.33% |
| kdgyswns vs Panda | 1–2 | 33.33% |
| kdgyswns vs Clive | 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.