| Mikujin vs Kazuya | 188–149 | 55.79% |
| Mikujin vs Jin | 157–144 | 52.16% |
| Mikujin vs Hwoarang | 143–111 | 56.30% |
| Mikujin vs Bryan | 125–112 | 52.74% |
| Mikujin vs Heihachi | 99–128 | 43.61% |
| Mikujin vs King | 115–102 | 53.00% |
| Mikujin vs Reina | 104–106 | 49.52% |
| Mikujin vs Law | 102–98 | 51.00% |
| Mikujin vs Steve | 90–99 | 47.62% |
| Mikujin vs Armor King | 77–92 | 45.56% |
| Mikujin vs Lili | 88–79 | 52.69% |
| Mikujin vs Dragunov | 91–70 | 56.52% |
| Mikujin vs Paul | 84–72 | 53.85% |
| Mikujin vs Fahkumram | 77–79 | 49.36% |
| Mikujin vs Devil Jin | 58–83 | 41.13% |
| Mikujin vs Eddy | 64–70 | 47.76% |
| Mikujin vs Yoshimitsu | 51–81 | 38.64% |
| Mikujin vs Lee | 60–70 | 46.15% |
| Mikujin vs Azucena | 57–72 | 44.19% |
| Mikujin vs Lidia | 66–58 | 53.23% |
| Mikujin vs Lars | 50–68 | 42.37% |
| Mikujin vs Nina | 50–65 | 43.48% |
| Mikujin vs Jun | 66–46 | 58.93% |
| Mikujin vs Feng | 47–53 | 47.00% |
| Mikujin vs Xiaoyu | 46–44 | 51.11% |
| Mikujin vs Victor | 43–45 | 48.86% |
| Mikujin vs Alisa | 38–48 | 44.19% |
| Mikujin vs Asuka | 42–38 | 52.50% |
| Mikujin vs Anna | 37–36 | 50.68% |
| Mikujin vs Leo | 39–33 | 54.17% |
| Mikujin vs Raven | 25–40 | 38.46% |
| Mikujin vs Zafina | 18–30 | 37.50% |
| Mikujin vs Leroy | 24–23 | 51.06% |
| Mikujin vs Claudio | 20–26 | 43.48% |
| Mikujin vs Clive | 19–27 | 41.30% |
| Mikujin vs Miary Zo | 9–29 | 23.68% |
| Mikujin vs Jack-8 | 19–15 | 55.88% |
| Mikujin vs Shaheen | 16–18 | 47.06% |
| Mikujin vs Kuma | 12–21 | 36.36% |
| Mikujin vs Panda | 6–16 | 27.27% |
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.