| HONGCHA vs Bryan | 49–43 | 53.26% |
| HONGCHA vs Kazuya | 52–38 | 57.78% |
| HONGCHA vs Dragunov | 43–31 | 58.11% |
| HONGCHA vs Hwoarang | 26–39 | 40.00% |
| HONGCHA vs Paul | 34–27 | 55.74% |
| HONGCHA vs Reina | 29–29 | 50.00% |
| HONGCHA vs Jin | 23–34 | 40.35% |
| HONGCHA vs Victor | 30–26 | 53.57% |
| HONGCHA vs Feng | 28–27 | 50.91% |
| HONGCHA vs Law | 25–28 | 47.17% |
| HONGCHA vs Claudio | 22–27 | 44.90% |
| HONGCHA vs Steve | 26–22 | 54.17% |
| HONGCHA vs Jun | 27–21 | 56.25% |
| HONGCHA vs Lili | 15–30 | 33.33% |
| HONGCHA vs King | 21–17 | 55.26% |
| HONGCHA vs Asuka | 13–25 | 34.21% |
| HONGCHA vs Heihachi | 17–21 | 44.74% |
| HONGCHA vs Yoshimitsu | 20–17 | 54.05% |
| HONGCHA vs Lars | 18–19 | 48.65% |
| HONGCHA vs Alisa | 25–12 | 67.57% |
| HONGCHA vs Leroy | 17–20 | 45.95% |
| HONGCHA vs Nina | 15–21 | 41.67% |
| HONGCHA vs Jack-8 | 16–17 | 48.48% |
| HONGCHA vs Devil Jin | 16–17 | 48.48% |
| HONGCHA vs Leo | 21–12 | 63.64% |
| HONGCHA vs Shaheen | 18–12 | 60.00% |
| HONGCHA vs Kuma | 13–17 | 43.33% |
| HONGCHA vs Azucena | 16–14 | 53.33% |
| HONGCHA vs Lee | 9–20 | 31.03% |
| HONGCHA vs Clive | 12–17 | 41.38% |
| HONGCHA vs Raven | 17–10 | 62.96% |
| HONGCHA vs Xiaoyu | 20–6 | 76.92% |
| HONGCHA vs Zafina | 10–6 | 62.50% |
| HONGCHA vs Panda | 11–4 | 73.33% |
| HONGCHA vs Eddy | 5–8 | 38.46% |
| HONGCHA vs Lidia | 5–8 | 38.46% |
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.