| Kyoami vs Kazuya | 30–23 | 56.60% |
| Kyoami vs Jin | 27–17 | 61.36% |
| Kyoami vs Hwoarang | 24–15 | 61.54% |
| Kyoami vs Yoshimitsu | 13–23 | 36.11% |
| Kyoami vs King | 17–16 | 51.52% |
| Kyoami vs Steve | 15–13 | 53.57% |
| Kyoami vs Reina | 16–9 | 64.00% |
| Kyoami vs Paul | 16–8 | 66.67% |
| Kyoami vs Law | 11–12 | 47.83% |
| Kyoami vs Dragunov | 10–12 | 45.45% |
| Kyoami vs Bryan | 12–9 | 57.14% |
| Kyoami vs Lee | 9–12 | 42.86% |
| Kyoami vs Asuka | 11–9 | 55.00% |
| Kyoami vs Lars | 10–9 | 52.63% |
| Kyoami vs Jun | 11–8 | 57.89% |
| Kyoami vs Nina | 8–10 | 44.44% |
| Kyoami vs Victor | 6–10 | 37.50% |
| Kyoami vs Leo | 7–8 | 46.67% |
| Kyoami vs Heihachi | 7–7 | 50.00% |
| Kyoami vs Lidia | 6–6 | 50.00% |
| Kyoami vs Azucena | 7–4 | 63.64% |
| Kyoami vs Eddy | 5–5 | 50.00% |
| Kyoami vs Armor King | 8–2 | 80.00% |
| Kyoami vs Xiaoyu | 7–2 | 77.78% |
| Kyoami vs Alisa | 3–6 | 33.33% |
| Kyoami vs Lili | 5–2 | 71.43% |
| Kyoami vs Kuma | 6–1 | 85.71% |
| Kyoami vs Fahkumram | 6–1 | 85.71% |
| Kyoami vs Jack-8 | 4–2 | 66.67% |
| Kyoami vs Devil Jin | 2–3 | 40.00% |
| Kyoami vs Claudio | 2–3 | 40.00% |
| Kyoami vs Zafina | 2–3 | 40.00% |
| Kyoami vs Feng | 2–2 | 50.00% |
| Kyoami vs Leroy | 4–0 | 100.00% |
| Kyoami vs Raven | 2–1 | 66.67% |
| Kyoami vs Miary Zo | 1–2 | 33.33% |
| Kyoami vs Anna | 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.