| SHIN_UN vs Bryan | 210–194 | 51.98% |
| SHIN_UN vs Kazuya | 197–193 | 50.51% |
| SHIN_UN vs Reina | 198–159 | 55.46% |
| SHIN_UN vs King | 202–150 | 57.39% |
| SHIN_UN vs Steve | 119–159 | 42.81% |
| SHIN_UN vs Jin | 150–126 | 54.35% |
| SHIN_UN vs Heihachi | 106–143 | 42.57% |
| SHIN_UN vs Lili | 121–94 | 56.28% |
| SHIN_UN vs Dragunov | 111–101 | 52.36% |
| SHIN_UN vs Yoshimitsu | 102–108 | 48.57% |
| SHIN_UN vs Paul | 110–89 | 55.28% |
| SHIN_UN vs Hwoarang | 92–102 | 47.42% |
| SHIN_UN vs Law | 107–79 | 57.53% |
| SHIN_UN vs Asuka | 77–73 | 51.33% |
| SHIN_UN vs Lee | 64–83 | 43.54% |
| SHIN_UN vs Devil Jin | 79–65 | 54.86% |
| SHIN_UN vs Xiaoyu | 64–73 | 46.72% |
| SHIN_UN vs Azucena | 57–75 | 43.18% |
| SHIN_UN vs Lidia | 73–59 | 55.30% |
| SHIN_UN vs Lars | 51–77 | 39.84% |
| SHIN_UN vs Clive | 61–66 | 48.03% |
| SHIN_UN vs Leo | 59–56 | 51.30% |
| SHIN_UN vs Jun | 43–67 | 39.09% |
| SHIN_UN vs Eddy | 28–67 | 29.47% |
| SHIN_UN vs Feng | 41–52 | 44.09% |
| SHIN_UN vs Leroy | 47–45 | 51.09% |
| SHIN_UN vs Jack-8 | 48–41 | 53.93% |
| SHIN_UN vs Raven | 39–49 | 44.32% |
| SHIN_UN vs Alisa | 47–40 | 54.02% |
| SHIN_UN vs Kuma | 32–52 | 38.10% |
| SHIN_UN vs Victor | 46–37 | 55.42% |
| SHIN_UN vs Fahkumram | 31–51–1 | 37.80% |
| SHIN_UN vs Nina | 26–50 | 34.21% |
| SHIN_UN vs Claudio | 24–22 | 52.17% |
| SHIN_UN vs Zafina | 9–37 | 19.57% |
| SHIN_UN vs Shaheen | 14–26 | 35.00% |
| SHIN_UN vs Anna | 18–22 | 45.00% |
| SHIN_UN vs Armor King | 19–19 | 50.00% |
| SHIN_UN vs Panda | 13–17 | 43.33% |
| SHIN_UN vs Miary Zo | 4–5 | 44.44% |
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.