| KeeDono vs Kazuya | 228–278 | 45.06% |
| KeeDono vs Jin | 183–239 | 43.36% |
| KeeDono vs King | 168–239 | 41.28% |
| KeeDono vs Bryan | 131–174 | 42.95% |
| KeeDono vs Dragunov | 130–165–1 | 44.07% |
| KeeDono vs Steve | 114–135 | 45.78% |
| KeeDono vs Heihachi | 114–123 | 48.10% |
| KeeDono vs Hwoarang | 86–122 | 41.35% |
| KeeDono vs Law | 81–100 | 44.75% |
| KeeDono vs Paul | 65–111 | 36.93% |
| KeeDono vs Reina | 76–75 | 50.33% |
| KeeDono vs Yoshimitsu | 57–83 | 40.71% |
| KeeDono vs Devil Jin | 60–68 | 46.88% |
| KeeDono vs Armor King | 59–60 | 49.58% |
| KeeDono vs Lars | 39–75 | 34.21% |
| KeeDono vs Fahkumram | 48–63 | 43.24% |
| KeeDono vs Victor | 46–63 | 42.20% |
| KeeDono vs Anna | 43–60–1 | 41.75% |
| KeeDono vs Eddy | 45–50 | 47.37% |
| KeeDono vs Jun | 34–59 | 36.56% |
| KeeDono vs Lee | 42–45 | 48.28% |
| KeeDono vs Lili | 32–49 | 39.51% |
| KeeDono vs Nina | 36–45 | 44.44% |
| KeeDono vs Azucena | 35–46 | 43.21% |
| KeeDono vs Asuka | 38–40 | 48.72% |
| KeeDono vs Alisa | 29–38 | 43.28% |
| KeeDono vs Feng | 35–31 | 53.03% |
| KeeDono vs Clive | 32–34 | 48.48% |
| KeeDono vs Claudio | 27–33 | 45.00% |
| KeeDono vs Xiaoyu | 19–24 | 44.19% |
| KeeDono vs Leo | 13–30 | 30.23% |
| KeeDono vs Jack-8 | 16–18 | 47.06% |
| KeeDono vs Shaheen | 17–15 | 53.12% |
| KeeDono vs Kuma | 11–20 | 35.48% |
| KeeDono vs Lidia | 8–16 | 33.33% |
| KeeDono vs Leroy | 8–14 | 36.36% |
| KeeDono vs Raven | 4–11 | 26.67% |
| KeeDono vs Miary Zo | 7–7 | 50.00% |
| KeeDono vs Panda | 7–6 | 53.85% |
| KeeDono vs Zafina | 5–6 | 45.45% |
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.