| Hwoarang vs Bryan | 59–70 | 45.74% |
| Hwoarang vs Armor King | 63–59 | 51.64% |
| Hwoarang vs King | 55–59 | 48.25% |
| Hwoarang vs Kazuya | 56–46 | 54.90% |
| Hwoarang vs Heihachi | 42–45 | 48.28% |
| Hwoarang vs Hwoarang | 37–45 | 45.12% |
| Hwoarang vs Reina | 51–28 | 64.56% |
| Hwoarang vs Steve | 34–37 | 47.89% |
| Hwoarang vs Dragunov | 32–32 | 50.00% |
| Hwoarang vs Law | 34–29 | 53.97% |
| Hwoarang vs Jin | 36–27 | 57.14% |
| Hwoarang vs Devil Jin | 24–27 | 47.06% |
| Hwoarang vs Azucena | 24–25 | 48.98% |
| Hwoarang vs Paul | 23–22 | 51.11% |
| Hwoarang vs Lee | 20–19 | 51.28% |
| Hwoarang vs Clive | 21–16 | 56.76% |
| Hwoarang vs Jun | 14–21 | 40.00% |
| Hwoarang vs Yoshimitsu | 14–20 | 41.18% |
| Hwoarang vs Fahkumram | 18–15 | 54.55% |
| Hwoarang vs Xiaoyu | 19–13 | 59.38% |
| Hwoarang vs Asuka | 12–19 | 38.71% |
| Hwoarang vs Shaheen | 18–13 | 58.06% |
| Hwoarang vs Lili | 12–18 | 40.00% |
| Hwoarang vs Lars | 15–12 | 55.56% |
| Hwoarang vs Kuma | 11–16 | 40.74% |
| Hwoarang vs Eddy | 9–18 | 33.33% |
| Hwoarang vs Raven | 14–12 | 53.85% |
| Hwoarang vs Nina | 14–10 | 58.33% |
| Hwoarang vs Victor | 13–11 | 54.17% |
| Hwoarang vs Leo | 9–14 | 39.13% |
| Hwoarang vs Claudio | 13–9 | 59.09% |
| Hwoarang vs Jack-8 | 8–10 | 44.44% |
| Hwoarang vs Feng | 9–9 | 50.00% |
| Hwoarang vs Alisa | 11–7 | 61.11% |
| Hwoarang vs Lidia | 8–6 | 57.14% |
| Hwoarang vs Zafina | 3–10 | 23.08% |
| Hwoarang vs Leroy | 2–9 | 18.18% |
| Hwoarang vs Anna | 9–1 | 90.00% |
| Hwoarang vs Panda | 2–6 | 25.00% |
| Hwoarang vs Miary Zo | 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.