| Juliankyo vs King | 129–108 | 54.43% |
| Juliankyo vs Jin | 120–105 | 53.33% |
| Juliankyo vs Kazuya | 104–118 | 46.85% |
| Juliankyo vs Reina | 130–86 | 60.19% |
| Juliankyo vs Bryan | 85–111 | 43.37% |
| Juliankyo vs Steve | 105–83 | 55.85% |
| Juliankyo vs Hwoarang | 73–107 | 40.56% |
| Juliankyo vs Law | 63–89 | 41.45% |
| Juliankyo vs Lili | 65–78 | 45.45% |
| Juliankyo vs Yoshimitsu | 65–69 | 48.51% |
| Juliankyo vs Lee | 68–65 | 51.13% |
| Juliankyo vs Paul | 53–76 | 41.09% |
| Juliankyo vs Dragunov | 66–57 | 53.66% |
| Juliankyo vs Xiaoyu | 48–61 | 44.04% |
| Juliankyo vs Eddy | 47–62 | 43.12% |
| Juliankyo vs Heihachi | 53–45 | 54.08% |
| Juliankyo vs Leo | 39–58 | 40.21% |
| Juliankyo vs Azucena | 52–44 | 54.17% |
| Juliankyo vs Nina | 44–49 | 47.31% |
| Juliankyo vs Jun | 37–56 | 39.78% |
| Juliankyo vs Lars | 45–41 | 52.33% |
| Juliankyo vs Armor King | 39–46 | 45.88% |
| Juliankyo vs Asuka | 41–43 | 48.81% |
| Juliankyo vs Devil Jin | 41–43 | 48.81% |
| Juliankyo vs Victor | 38–39 | 49.35% |
| Juliankyo vs Raven | 38–36 | 51.35% |
| Juliankyo vs Lidia | 39–34 | 53.42% |
| Juliankyo vs Fahkumram | 36–33 | 52.17% |
| Juliankyo vs Alisa | 22–42 | 34.38% |
| Juliankyo vs Leroy | 31–27 | 53.45% |
| Juliankyo vs Feng | 22–34 | 39.29% |
| Juliankyo vs Anna | 25–30 | 45.45% |
| Juliankyo vs Jack-8 | 28–26 | 51.85% |
| Juliankyo vs Clive | 25–20 | 55.56% |
| Juliankyo vs Claudio | 21–22 | 48.84% |
| Juliankyo vs Miary Zo | 20–15 | 57.14% |
| Juliankyo vs Shaheen | 21–12 | 63.64% |
| Juliankyo vs Kuma | 12–20 | 37.50% |
| Juliankyo vs Zafina | 12–12 | 50.00% |
| Juliankyo vs Panda | 4–16 | 20.00% |
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.