| Kyoka vs Kazuya | 37–7 | 84.09% |
| Kyoka vs Heihachi | 25–13 | 65.79% |
| Kyoka vs Dragunov | 35–1 | 97.22% |
| Kyoka vs Bryan | 24–8 | 75.00% |
| Kyoka vs Miary Zo | 23–6 | 79.31% |
| Kyoka vs Armor King | 20–7 | 74.07% |
| Kyoka vs Reina | 20–6 | 76.92% |
| Kyoka vs King | 18–7 | 72.00% |
| Kyoka vs Paul | 12–11 | 52.17% |
| Kyoka vs Jin | 16–5 | 76.19% |
| Kyoka vs Steve | 16–3 | 84.21% |
| Kyoka vs Xiaoyu | 14–4 | 77.78% |
| Kyoka vs Asuka | 12–6 | 66.67% |
| Kyoka vs Fahkumram | 8–8 | 50.00% |
| Kyoka vs Law | 10–5 | 66.67% |
| Kyoka vs Hwoarang | 13–2 | 86.67% |
| Kyoka vs Lili | 9–5 | 64.29% |
| Kyoka vs Feng | 9–3 | 75.00% |
| Kyoka vs Alisa | 10–2 | 83.33% |
| Kyoka vs Nina | 12–0 | 100.00% |
| Kyoka vs Lee | 7–5 | 58.33% |
| Kyoka vs Raven | 9–3 | 75.00% |
| Kyoka vs Anna | 10–2 | 83.33% |
| Kyoka vs Yoshimitsu | 7–4 | 63.64% |
| Kyoka vs Jack-8 | 7–4 | 63.64% |
| Kyoka vs Leo | 8–2 | 80.00% |
| Kyoka vs Leroy | 8–2 | 80.00% |
| Kyoka vs Jun | 7–3 | 70.00% |
| Kyoka vs Azucena | 8–2 | 80.00% |
| Kyoka vs Devil Jin | 9–0 | 100.00% |
| Kyoka vs Lidia | 7–2 | 77.78% |
| Kyoka vs Eddy | 5–3 | 62.50% |
| Kyoka vs Zafina | 5–2 | 71.43% |
| Kyoka vs Lars | 5–1 | 83.33% |
| Kyoka vs Claudio | 2–3 | 40.00% |
| Kyoka vs Shaheen | 3–2 | 60.00% |
| Kyoka vs Clive | 3–2 | 60.00% |
| Kyoka vs Kuma | 4–0 | 100.00% |
| Kyoka vs Victor | 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.