| Honglin50 vs Jin | 50–54 | 48.08% |
| Honglin50 vs Asuka | 35–36 | 49.30% |
| Honglin50 vs King | 32–38 | 45.71% |
| Honglin50 vs Dragunov | 33–34 | 49.25% |
| Honglin50 vs Hwoarang | 29–35 | 45.31% |
| Honglin50 vs Kazuya | 30–32 | 48.39% |
| Honglin50 vs Lili | 28–34 | 45.16% |
| Honglin50 vs Reina | 37–24 | 60.66% |
| Honglin50 vs Bryan | 27–32 | 45.76% |
| Honglin50 vs Paul | 31–27 | 53.45% |
| Honglin50 vs Yoshimitsu | 21–21 | 50.00% |
| Honglin50 vs Victor | 22–20 | 52.38% |
| Honglin50 vs Heihachi | 19–20 | 48.72% |
| Honglin50 vs Law | 20–15 | 57.14% |
| Honglin50 vs Alisa | 10–23 | 30.30% |
| Honglin50 vs Steve | 18–14 | 56.25% |
| Honglin50 vs Clive | 16–16 | 50.00% |
| Honglin50 vs Leo | 15–13 | 53.57% |
| Honglin50 vs Azucena | 12–16 | 42.86% |
| Honglin50 vs Jun | 18–9 | 66.67% |
| Honglin50 vs Claudio | 9–17 | 34.62% |
| Honglin50 vs Xiaoyu | 18–7 | 72.00% |
| Honglin50 vs Jack-8 | 12–12 | 50.00% |
| Honglin50 vs Lidia | 11–13 | 45.83% |
| Honglin50 vs Lars | 9–14 | 39.13% |
| Honglin50 vs Leroy | 7–16 | 30.43% |
| Honglin50 vs Feng | 6–15 | 28.57% |
| Honglin50 vs Eddy | 8–12 | 40.00% |
| Honglin50 vs Devil Jin | 10–8 | 55.56% |
| Honglin50 vs Raven | 7–10 | 41.18% |
| Honglin50 vs Fahkumram | 5–12 | 29.41% |
| Honglin50 vs Kuma | 7–8 | 46.67% |
| Honglin50 vs Lee | 6–8 | 42.86% |
| Honglin50 vs Anna | 6–7 | 46.15% |
| Honglin50 vs Shaheen | 5–5 | 50.00% |
| Honglin50 vs Nina | 6–4 | 60.00% |
| Honglin50 vs Armor King | 0–6 | 0.00% |
| Honglin50 vs Zafina | 0–4 | 0.00% |
| Honglin50 vs Panda | 1–2 | 33.33% |
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.