| Kwyyy vs Armor King | 44–37 | 54.32% |
| Kwyyy vs Jin | 26–20 | 56.52% |
| Kwyyy vs Kazuya | 30–13 | 69.77% |
| Kwyyy vs Bryan | 26–16 | 61.90% |
| Kwyyy vs Law | 19–17 | 52.78% |
| Kwyyy vs Reina | 22–12 | 64.71% |
| Kwyyy vs Devil Jin | 21–9 | 70.00% |
| Kwyyy vs King | 16–12 | 57.14% |
| Kwyyy vs Steve | 15–9 | 62.50% |
| Kwyyy vs Asuka | 12–11 | 52.17% |
| Kwyyy vs Dragunov | 10–12 | 45.45% |
| Kwyyy vs Lili | 13–7 | 65.00% |
| Kwyyy vs Jun | 9–9 | 50.00% |
| Kwyyy vs Clive | 13–5 | 72.22% |
| Kwyyy vs Lars | 7–9 | 43.75% |
| Kwyyy vs Yoshimitsu | 4–10–1 | 28.57% |
| Kwyyy vs Claudio | 9–6 | 60.00% |
| Kwyyy vs Alisa | 8–5 | 61.54% |
| Kwyyy vs Heihachi | 4–8 | 33.33% |
| Kwyyy vs Lee | 7–4 | 63.64% |
| Kwyyy vs Lidia | 6–5 | 54.55% |
| Kwyyy vs Paul | 2–7 | 22.22% |
| Kwyyy vs Feng | 5–4 | 55.56% |
| Kwyyy vs Hwoarang | 8–0 | 100.00% |
| Kwyyy vs Nina | 4–3 | 57.14% |
| Kwyyy vs Miary Zo | 2–5 | 28.57% |
| Kwyyy vs Victor | 4–2 | 66.67% |
| Kwyyy vs Fahkumram | 2–4 | 33.33% |
| Kwyyy vs Shaheen | 4–1 | 80.00% |
| Kwyyy vs Leroy | 3–2 | 60.00% |
| Kwyyy vs Azucena | 4–1 | 80.00% |
| Kwyyy vs Jack-8 | 4–0 | 100.00% |
| Kwyyy vs Raven | 0–4 | 0.00% |
| Kwyyy vs Eddy | 2–2 | 50.00% |
| Kwyyy vs Anna | 2–2 | 50.00% |
| Kwyyy vs Leo | 2–1 | 66.67% |
| Kwyyy vs Xiaoyu | 2–0 | 100.00% |
| Kwyyy vs Kuma | 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.