| Kaiya vs Kazuya | 25–22 | 53.19% |
| Kaiya vs Jin | 14–21 | 40.00% |
| Kaiya vs Heihachi | 14–19 | 42.42% |
| Kaiya vs King | 15–14 | 51.72% |
| Kaiya vs Armor King | 15–13 | 53.57% |
| Kaiya vs Steve | 10–14 | 41.67% |
| Kaiya vs Azucena | 11–13 | 45.83% |
| Kaiya vs Lili | 10–12 | 45.45% |
| Kaiya vs Miary Zo | 12–10 | 54.55% |
| Kaiya vs Law | 10–11 | 47.62% |
| Kaiya vs Paul | 11–9 | 55.00% |
| Kaiya vs Hwoarang | 10–10 | 50.00% |
| Kaiya vs Devil Jin | 10–10 | 50.00% |
| Kaiya vs Reina | 6–14 | 30.00% |
| Kaiya vs Lee | 11–8 | 57.89% |
| Kaiya vs Yoshimitsu | 7–8 | 46.67% |
| Kaiya vs Bryan | 5–10 | 33.33% |
| Kaiya vs Feng | 5–9 | 35.71% |
| Kaiya vs Asuka | 12–1 | 92.31% |
| Kaiya vs Clive | 7–6 | 53.85% |
| Kaiya vs Dragunov | 7–5 | 58.33% |
| Kaiya vs Eddy | 7–5 | 58.33% |
| Kaiya vs Xiaoyu | 5–5 | 50.00% |
| Kaiya vs Lars | 4–6 | 40.00% |
| Kaiya vs Alisa | 6–4 | 60.00% |
| Kaiya vs Lidia | 6–3 | 66.67% |
| Kaiya vs Jack-8 | 4–4 | 50.00% |
| Kaiya vs Nina | 3–5 | 37.50% |
| Kaiya vs Leo | 5–2 | 71.43% |
| Kaiya vs Fahkumram | 3–3 | 50.00% |
| Kaiya vs Kuma | 3–2 | 60.00% |
| Kaiya vs Jun | 2–3 | 40.00% |
| Kaiya vs Anna | 3–2 | 60.00% |
| Kaiya vs Claudio | 4–0 | 100.00% |
| Kaiya vs Zafina | 2–1 | 66.67% |
| Kaiya vs Raven | 0–3 | 0.00% |
| Kaiya vs Shaheen | 0–2 | 0.00% |
| Kaiya vs Leroy | 0–1 | 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.