| Kai_Kaede vs Bryan | 35–7 | 83.33% |
| Kai_Kaede vs King | 24–10 | 70.59% |
| Kai_Kaede vs Jin | 19–11 | 63.33% |
| Kai_Kaede vs Hwoarang | 20–7 | 74.07% |
| Kai_Kaede vs Kazuya | 14–13 | 51.85% |
| Kai_Kaede vs Victor | 16–9 | 64.00% |
| Kai_Kaede vs Lili | 14–10 | 58.33% |
| Kai_Kaede vs Paul | 16–6 | 72.73% |
| Kai_Kaede vs Nina | 16–6 | 72.73% |
| Kai_Kaede vs Azucena | 12–10 | 54.55% |
| Kai_Kaede vs Feng | 14–7 | 66.67% |
| Kai_Kaede vs Lars | 14–7 | 66.67% |
| Kai_Kaede vs Yoshimitsu | 18–2 | 90.00% |
| Kai_Kaede vs Law | 15–4 | 78.95% |
| Kai_Kaede vs Dragunov | 12–7 | 63.16% |
| Kai_Kaede vs Alisa | 16–3 | 84.21% |
| Kai_Kaede vs Xiaoyu | 15–1 | 93.75% |
| Kai_Kaede vs Eddy | 11–4 | 73.33% |
| Kai_Kaede vs Devil Jin | 12–2 | 85.71% |
| Kai_Kaede vs Steve | 13–0 | 100.00% |
| Kai_Kaede vs Asuka | 9–4 | 69.23% |
| Kai_Kaede vs Reina | 9–4 | 69.23% |
| Kai_Kaede vs Anna | 5–8 | 38.46% |
| Kai_Kaede vs Jack-8 | 4–7 | 36.36% |
| Kai_Kaede vs Jun | 8–3 | 72.73% |
| Kai_Kaede vs Kuma | 4–4 | 50.00% |
| Kai_Kaede vs Lidia | 6–2 | 75.00% |
| Kai_Kaede vs Heihachi | 5–2 | 71.43% |
| Kai_Kaede vs Lee | 2–4 | 33.33% |
| Kai_Kaede vs Shaheen | 2–3 | 40.00% |
| Kai_Kaede vs Zafina | 3–0 | 100.00% |
| Kai_Kaede vs Claudio | 1–1 | 50.00% |
| Kai_Kaede vs Panda | 2–0 | 100.00% |
| Kai_Kaede vs Raven | 2–0 | 100.00% |
| Kai_Kaede vs Leroy | 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.