| hongchengwu vs Dragunov | 69–75 | 47.92% |
| hongchengwu vs Kazuya | 73–61 | 54.48% |
| hongchengwu vs Jin | 58–55 | 51.33% |
| hongchengwu vs Bryan | 58–51 | 53.21% |
| hongchengwu vs King | 46–54 | 46.00% |
| hongchengwu vs Clive | 39–57 | 40.62% |
| hongchengwu vs Reina | 55–37 | 59.78% |
| hongchengwu vs Lili | 50–40 | 55.56% |
| hongchengwu vs Hwoarang | 42–43 | 49.41% |
| hongchengwu vs Paul | 45–39 | 53.57% |
| hongchengwu vs Heihachi | 42–41 | 50.60% |
| hongchengwu vs Victor | 28–48 | 36.84% |
| hongchengwu vs Steve | 33–33 | 50.00% |
| hongchengwu vs Yoshimitsu | 26–37 | 41.27% |
| hongchengwu vs Azucena | 28–31 | 47.46% |
| hongchengwu vs Asuka | 30–25 | 54.55% |
| hongchengwu vs Lee | 22–31 | 41.51% |
| hongchengwu vs Leroy | 25–28 | 47.17% |
| hongchengwu vs Jun | 26–25 | 50.98% |
| hongchengwu vs Law | 23–27 | 46.00% |
| hongchengwu vs Xiaoyu | 23–27 | 46.00% |
| hongchengwu vs Devil Jin | 17–33 | 34.00% |
| hongchengwu vs Nina | 26–18 | 59.09% |
| hongchengwu vs Alisa | 23–20 | 53.49% |
| hongchengwu vs Feng | 14–25 | 35.90% |
| hongchengwu vs Shaheen | 18–19 | 48.65% |
| hongchengwu vs Leo | 23–10 | 69.70% |
| hongchengwu vs Lars | 12–17 | 41.38% |
| hongchengwu vs Claudio | 10–17 | 37.04% |
| hongchengwu vs Kuma | 16–10 | 61.54% |
| hongchengwu vs Jack-8 | 9–16 | 36.00% |
| hongchengwu vs Raven | 5–14 | 26.32% |
| hongchengwu vs Lidia | 7–12 | 36.84% |
| hongchengwu vs Zafina | 6–11 | 35.29% |
| hongchengwu vs Eddy | 10–6 | 62.50% |
| hongchengwu vs Panda | 2–3 | 40.00% |
| hongchengwu vs Armor King | 2–1 | 66.67% |
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.