| Koyo vs Steve | 29–19 | 60.42% |
| Koyo vs Heihachi | 34–14 | 70.83% |
| Koyo vs King | 27–18 | 60.00% |
| Koyo vs Law | 29–13 | 69.05% |
| Koyo vs Jin | 28–9 | 75.68% |
| Koyo vs Kazuya | 30–7 | 81.08% |
| Koyo vs Reina | 16–16 | 50.00% |
| Koyo vs Paul | 24–7 | 77.42% |
| Koyo vs Hwoarang | 23–7 | 76.67% |
| Koyo vs Dragunov | 17–12 | 58.62% |
| Koyo vs Asuka | 21–5 | 80.77% |
| Koyo vs Azucena | 19–5 | 79.17% |
| Koyo vs Bryan | 14–7 | 66.67% |
| Koyo vs Lidia | 16–5 | 76.19% |
| Koyo vs Jun | 15–5 | 75.00% |
| Koyo vs Lars | 8–11 | 42.11% |
| Koyo vs Eddy | 16–3 | 84.21% |
| Koyo vs Feng | 10–8 | 55.56% |
| Koyo vs Lili | 11–7 | 61.11% |
| Koyo vs Lee | 10–8 | 55.56% |
| Koyo vs Armor King | 14–4 | 77.78% |
| Koyo vs Alisa | 13–4 | 76.47% |
| Koyo vs Anna | 13–2 | 86.67% |
| Koyo vs Miary Zo | 7–8 | 46.67% |
| Koyo vs Leo | 9–5 | 64.29% |
| Koyo vs Claudio | 9–5 | 64.29% |
| Koyo vs Xiaoyu | 9–4 | 69.23% |
| Koyo vs Shaheen | 6–7 | 46.15% |
| Koyo vs Jack-8 | 9–2 | 81.82% |
| Koyo vs Nina | 7–4 | 63.64% |
| Koyo vs Yoshimitsu | 6–3 | 66.67% |
| Koyo vs Clive | 3–4 | 42.86% |
| Koyo vs Kuma | 4–2 | 66.67% |
| Koyo vs Zafina | 6–0 | 100.00% |
| Koyo vs Leroy | 3–3 | 50.00% |
| Koyo vs Victor | 5–1 | 83.33% |
| Koyo vs Devil Jin | 3–2 | 60.00% |
| Koyo vs Panda | 4–1 | 80.00% |
| Koyo vs Raven | 2–3 | 40.00% |
| Koyo vs Fahkumram | 2–1 | 66.67% |
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.