| Hong vs Kazuya | 112–82 | 57.73% |
| Hong vs Hwoarang | 93–75 | 55.36% |
| Hong vs King | 89–70 | 55.97% |
| Hong vs Jin | 77–78 | 49.68% |
| Hong vs Bryan | 70–78 | 47.30% |
| Hong vs Dragunov | 71–76 | 48.30% |
| Hong vs Paul | 72–71 | 50.35% |
| Hong vs Yoshimitsu | 77–56 | 57.89% |
| Hong vs Victor | 61–59 | 50.83% |
| Hong vs Steve | 51–64 | 44.35% |
| Hong vs Reina | 52–40 | 56.52% |
| Hong vs Asuka | 41–48 | 46.07% |
| Hong vs Feng | 42–45 | 48.28% |
| Hong vs Devil Jin | 38–48 | 44.19% |
| Hong vs Lars | 44–38 | 53.66% |
| Hong vs Law | 48–28 | 63.16% |
| Hong vs Alisa | 44–28 | 61.11% |
| Hong vs Lili | 33–36 | 47.83% |
| Hong vs Jun | 35–31 | 53.03% |
| Hong vs Jack-8 | 31–33 | 48.44% |
| Hong vs Lee | 34–30 | 53.12% |
| Hong vs Azucena | 31–33 | 48.44% |
| Hong vs Kuma | 21–38 | 35.59% |
| Hong vs Nina | 35–23 | 60.34% |
| Hong vs Claudio | 25–31 | 44.64% |
| Hong vs Xiaoyu | 32–22 | 59.26% |
| Hong vs Leroy | 29–25 | 53.70% |
| Hong vs Eddy | 34–20 | 62.96% |
| Hong vs Lidia | 18–26 | 40.91% |
| Hong vs Leo | 23–20 | 53.49% |
| Hong vs Zafina | 13–24 | 35.14% |
| Hong vs Shaheen | 12–19 | 38.71% |
| Hong vs Raven | 15–14 | 51.72% |
| Hong vs Anna | 15–11 | 57.69% |
| Hong vs Heihachi | 12–10 | 54.55% |
| Hong vs Fahkumram | 13–7 | 65.00% |
| Hong vs Clive | 7–7 | 50.00% |
| Hong vs Panda | 5–5 | 50.00% |
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.