| kyuna vs King | 29–43 | 40.28% |
| kyuna vs Steve | 30–28 | 51.72% |
| kyuna vs Jin | 25–31 | 44.64% |
| kyuna vs Reina | 22–29 | 43.14% |
| kyuna vs Kazuya | 20–25 | 44.44% |
| kyuna vs Bryan | 10–28 | 26.32% |
| kyuna vs Hwoarang | 6–30 | 16.67% |
| kyuna vs Armor King | 12–19 | 38.71% |
| kyuna vs Lili | 12–17 | 41.38% |
| kyuna vs Heihachi | 8–21 | 27.59% |
| kyuna vs Dragunov | 8–18 | 30.77% |
| kyuna vs Fahkumram | 14–12 | 53.85% |
| kyuna vs Lars | 6–19 | 24.00% |
| kyuna vs Paul | 14–10 | 58.33% |
| kyuna vs Eddy | 5–18 | 21.74% |
| kyuna vs Jun | 9–12 | 42.86% |
| kyuna vs Law | 6–12 | 33.33% |
| kyuna vs Asuka | 6–11 | 35.29% |
| kyuna vs Azucena | 8–9 | 47.06% |
| kyuna vs Miary Zo | 4–13 | 23.53% |
| kyuna vs Devil Jin | 3–13 | 18.75% |
| kyuna vs Alisa | 9–7 | 56.25% |
| kyuna vs Xiaoyu | 8–6 | 57.14% |
| kyuna vs Nina | 5–8 | 38.46% |
| kyuna vs Lee | 8–5 | 61.54% |
| kyuna vs Yoshimitsu | 4–8 | 33.33% |
| kyuna vs Feng | 5–7 | 41.67% |
| kyuna vs Lidia | 6–6 | 50.00% |
| kyuna vs Victor | 1–9 | 10.00% |
| kyuna vs Clive | 6–4 | 60.00% |
| kyuna vs Shaheen | 2–7 | 22.22% |
| kyuna vs Claudio | 0–8 | 0.00% |
| kyuna vs Jack-8 | 5–2 | 71.43% |
| kyuna vs Raven | 2–3 | 40.00% |
| kyuna vs Leo | 0–3 | 0.00% |
| kyuna vs Leroy | 1–2 | 33.33% |
| kyuna vs Anna | 1–1 | 50.00% |
| kyuna vs Kuma | 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.