| KeiM00n vs Armor King | 29–28 | 50.88% |
| KeiM00n vs Reina | 36–12 | 75.00% |
| KeiM00n vs Jin | 31–12 | 72.09% |
| KeiM00n vs Dragunov | 33–10 | 76.74% |
| KeiM00n vs Kazuya | 27–14 | 65.85% |
| KeiM00n vs Heihachi | 19–19 | 50.00% |
| KeiM00n vs Anna | 26–11 | 70.27% |
| KeiM00n vs Hwoarang | 16–18 | 47.06% |
| KeiM00n vs Law | 19–14 | 57.58% |
| KeiM00n vs Xiaoyu | 21–11 | 65.62% |
| KeiM00n vs Steve | 18–14 | 56.25% |
| KeiM00n vs Feng | 18–12 | 60.00% |
| KeiM00n vs Lee | 23–6 | 79.31% |
| KeiM00n vs Lili | 15–13 | 53.57% |
| KeiM00n vs Jun | 13–15 | 46.43% |
| KeiM00n vs Bryan | 15–10 | 60.00% |
| KeiM00n vs Devil Jin | 13–8 | 61.90% |
| KeiM00n vs Miary Zo | 12–9 | 57.14% |
| KeiM00n vs Fahkumram | 9–9 | 50.00% |
| KeiM00n vs Claudio | 11–6 | 64.71% |
| KeiM00n vs Paul | 9–7 | 56.25% |
| KeiM00n vs Asuka | 9–7 | 56.25% |
| KeiM00n vs Leo | 6–9 | 40.00% |
| KeiM00n vs Leroy | 7–8 | 46.67% |
| KeiM00n vs Lars | 6–8 | 42.86% |
| KeiM00n vs Lidia | 10–4 | 71.43% |
| KeiM00n vs Alisa | 9–4 | 69.23% |
| KeiM00n vs Yoshimitsu | 8–4 | 66.67% |
| KeiM00n vs Panda | 9–3 | 75.00% |
| KeiM00n vs Victor | 5–6 | 45.45% |
| KeiM00n vs King | 8–2 | 80.00% |
| KeiM00n vs Zafina | 8–2 | 80.00% |
| KeiM00n vs Raven | 8–2 | 80.00% |
| KeiM00n vs Nina | 9–0 | 100.00% |
| KeiM00n vs Azucena | 4–4 | 50.00% |
| KeiM00n vs Eddy | 6–2 | 75.00% |
| KeiM00n vs Jack-8 | 3–4 | 42.86% |
| KeiM00n vs Shaheen | 3–2 | 60.00% |
| KeiM00n vs Clive | 4–1 | 80.00% |
| KeiM00n vs Kuma | 2–2 | 50.00% |
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.