| KeiMoon vs Hwoarang | 103–106 | 49.28% |
| KeiMoon vs Steve | 69–80 | 46.31% |
| KeiMoon vs Kazuya | 92–54 | 63.01% |
| KeiMoon vs Bryan | 75–61 | 55.15% |
| KeiMoon vs Reina | 73–63 | 53.68% |
| KeiMoon vs Dragunov | 76–58 | 56.72% |
| KeiMoon vs Jin | 80–52 | 60.61% |
| KeiMoon vs Law | 72–51 | 58.54% |
| KeiMoon vs Lars | 59–60 | 49.58% |
| KeiMoon vs Yoshimitsu | 56–45 | 55.45% |
| KeiMoon vs Lili | 56–44 | 56.00% |
| KeiMoon vs Devil Jin | 47–46 | 50.54% |
| KeiMoon vs Nina | 56–35 | 61.54% |
| KeiMoon vs Claudio | 46–43 | 51.69% |
| KeiMoon vs Victor | 38–51 | 42.70% |
| KeiMoon vs Azucena | 50–38 | 56.82% |
| KeiMoon vs Anna | 48–39 | 55.17% |
| KeiMoon vs King | 42–44 | 48.84% |
| KeiMoon vs Lee | 54–32 | 62.79% |
| KeiMoon vs Asuka | 45–40 | 52.94% |
| KeiMoon vs Xiaoyu | 55–29 | 65.48% |
| KeiMoon vs Armor King | 43–40 | 51.81% |
| KeiMoon vs Alisa | 48–31 | 60.76% |
| KeiMoon vs Paul | 46–30 | 60.53% |
| KeiMoon vs Leroy | 35–37 | 48.61% |
| KeiMoon vs Eddy | 36–32 | 52.94% |
| KeiMoon vs Heihachi | 36–32 | 52.94% |
| KeiMoon vs Feng | 37–26 | 58.73% |
| KeiMoon vs Zafina | 26–37 | 41.27% |
| KeiMoon vs Leo | 32–30 | 51.61% |
| KeiMoon vs Clive | 24–35 | 40.68% |
| KeiMoon vs Raven | 32–25 | 56.14% |
| KeiMoon vs Jun | 25–31 | 44.64% |
| KeiMoon vs Lidia | 22–34 | 39.29% |
| KeiMoon vs Fahkumram | 24–28 | 46.15% |
| KeiMoon vs Jack-8 | 23–24 | 48.94% |
| KeiMoon vs Miary Zo | 24–19 | 55.81% |
| KeiMoon vs Kuma | 18–19 | 48.65% |
| KeiMoon vs Shaheen | 18–14 | 56.25% |
| KeiMoon vs Panda | 5–11 | 31.25% |
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.