| keiya vs Reina | 38–10 | 79.17% |
| keiya vs King | 29–12 | 70.73% |
| keiya vs Jin | 19–9 | 67.86% |
| keiya vs Bryan | 14–12 | 53.85% |
| keiya vs Lili | 14–10 | 58.33% |
| keiya vs Dragunov | 18–5 | 78.26% |
| keiya vs Hwoarang | 15–6 | 71.43% |
| keiya vs Paul | 10–10 | 50.00% |
| keiya vs Kazuya | 14–6 | 70.00% |
| keiya vs Steve | 16–2 | 88.89% |
| keiya vs Heihachi | 14–4 | 77.78% |
| keiya vs Lars | 11–6 | 64.71% |
| keiya vs Nina | 11–6 | 64.71% |
| keiya vs Asuka | 10–6 | 62.50% |
| keiya vs Claudio | 11–5 | 68.75% |
| keiya vs Victor | 10–6 | 62.50% |
| keiya vs Azucena | 10–5 | 66.67% |
| keiya vs Anna | 5–9 | 35.71% |
| keiya vs Leo | 7–6 | 53.85% |
| keiya vs Alisa | 6–7 | 46.15% |
| keiya vs Jun | 6–7 | 46.15% |
| keiya vs Devil Jin | 7–5 | 58.33% |
| keiya vs Lidia | 9–3 | 75.00% |
| keiya vs Armor King | 5–7 | 41.67% |
| keiya vs Xiaoyu | 8–3 | 72.73% |
| keiya vs Yoshimitsu | 5–5 | 50.00% |
| keiya vs Jack-8 | 10–0 | 100.00% |
| keiya vs Kuma | 3–5 | 37.50% |
| keiya vs Shaheen | 5–2 | 71.43% |
| keiya vs Panda | 6–0 | 100.00% |
| keiya vs Law | 4–1 | 80.00% |
| keiya vs Feng | 5–0 | 100.00% |
| keiya vs Eddy | 0–5 | 0.00% |
| keiya vs Lee | 2–2 | 50.00% |
| keiya vs Leroy | 4–0 | 100.00% |
| keiya vs Clive | 4–0 | 100.00% |
| keiya vs Raven | 2–0 | 100.00% |
| keiya vs Miary Zo | 0–2 | 0.00% |
| keiya vs Zafina | 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.