| Jeongyeon vs Jin | 171–127 | 57.38% |
| Jeongyeon vs Kazuya | 161–109 | 59.63% |
| Jeongyeon vs Dragunov | 162–97 | 62.55% |
| Jeongyeon vs Bryan | 152–100 | 60.32% |
| Jeongyeon vs King | 131–84 | 60.93% |
| Jeongyeon vs Hwoarang | 134–80 | 62.62% |
| Jeongyeon vs Paul | 98–82 | 54.44% |
| Jeongyeon vs Heihachi | 116–64 | 64.44% |
| Jeongyeon vs Steve | 121–56 | 68.36% |
| Jeongyeon vs Lili | 100–71 | 58.48% |
| Jeongyeon vs Yoshimitsu | 76–79 | 49.03% |
| Jeongyeon vs Reina | 93–58 | 61.59% |
| Jeongyeon vs Devil Jin | 83–65 | 56.08% |
| Jeongyeon vs Law | 65–81 | 44.52% |
| Jeongyeon vs Lars | 65–69 | 48.51% |
| Jeongyeon vs Lee | 60–54 | 52.63% |
| Jeongyeon vs Victor | 56–57 | 49.56% |
| Jeongyeon vs Jack-8 | 63–46 | 57.80% |
| Jeongyeon vs Asuka | 64–45 | 58.72% |
| Jeongyeon vs Xiaoyu | 55–50 | 52.38% |
| Jeongyeon vs Leo | 48–53 | 47.52% |
| Jeongyeon vs Jun | 47–53 | 47.00% |
| Jeongyeon vs Claudio | 41–56 | 42.27% |
| Jeongyeon vs Feng | 44–42 | 51.16% |
| Jeongyeon vs Nina | 36–47 | 43.37% |
| Jeongyeon vs Azucena | 43–36 | 54.43% |
| Jeongyeon vs Shaheen | 36–34 | 51.43% |
| Jeongyeon vs Eddy | 40–28 | 58.82% |
| Jeongyeon vs Lidia | 33–33 | 50.00% |
| Jeongyeon vs Raven | 27–30 | 47.37% |
| Jeongyeon vs Leroy | 29–24 | 54.72% |
| Jeongyeon vs Alisa | 26–22 | 54.17% |
| Jeongyeon vs Kuma | 19–25 | 43.18% |
| Jeongyeon vs Zafina | 25–9 | 73.53% |
| Jeongyeon vs Clive | 12–17 | 41.38% |
| Jeongyeon vs Fahkumram | 15–14 | 51.72% |
| Jeongyeon vs Anna | 8–13 | 38.10% |
| Jeongyeon vs Armor King | 11–8–1 | 57.89% |
| Jeongyeon vs Panda | 8–11 | 42.11% |
| Jeongyeon vs Miary Zo | 10–8 | 55.56% |
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.