| SBChung vs Kazuya | 126–127 | 49.80% |
| SBChung vs Jin | 88–131 | 40.18% |
| SBChung vs Reina | 122–96 | 55.96% |
| SBChung vs Bryan | 78–121 | 39.20% |
| SBChung vs King | 79–103 | 43.41% |
| SBChung vs Dragunov | 65–68 | 48.87% |
| SBChung vs Paul | 55–76 | 41.98% |
| SBChung vs Hwoarang | 66–65 | 50.38% |
| SBChung vs Steve | 67–64 | 51.15% |
| SBChung vs Law | 51–70 | 42.15% |
| SBChung vs Heihachi | 57–55 | 50.89% |
| SBChung vs Lili | 45–63 | 41.67% |
| SBChung vs Lars | 52–54 | 49.06% |
| SBChung vs Devil Jin | 55–46 | 54.46% |
| SBChung vs Jun | 61–37 | 62.24% |
| SBChung vs Azucena | 48–49 | 49.48% |
| SBChung vs Yoshimitsu | 42–50 | 45.65% |
| SBChung vs Eddy | 45–46 | 49.45% |
| SBChung vs Victor | 38–48 | 44.19% |
| SBChung vs Lee | 42–43 | 49.41% |
| SBChung vs Feng | 40–40 | 50.00% |
| SBChung vs Raven | 32–45 | 41.56% |
| SBChung vs Leo | 31–42 | 42.47% |
| SBChung vs Lidia | 34–33 | 50.75% |
| SBChung vs Clive | 26–39–1 | 40.00% |
| SBChung vs Xiaoyu | 26–39 | 40.00% |
| SBChung vs Jack-8 | 27–32 | 45.76% |
| SBChung vs Nina | 24–32 | 42.86% |
| SBChung vs Asuka | 30–25 | 54.55% |
| SBChung vs Alisa | 19–36 | 34.55% |
| SBChung vs Kuma | 29–23 | 55.77% |
| SBChung vs Armor King | 23–26 | 46.94% |
| SBChung vs Claudio | 20–28 | 41.67% |
| SBChung vs Leroy | 29–19 | 60.42% |
| SBChung vs Miary Zo | 21–23 | 47.73% |
| SBChung vs Fahkumram | 20–15 | 57.14% |
| SBChung vs Shaheen | 9–19 | 32.14% |
| SBChung vs Zafina | 12–15 | 44.44% |
| SBChung vs Anna | 11–12 | 47.83% |
| SBChung vs Panda | 6–9 | 40.00% |
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.