| HweryongTKD vs Kazuya | 55–26 | 67.90% |
| HweryongTKD vs Jin | 49–22 | 69.01% |
| HweryongTKD vs Bryan | 41–11 | 78.85% |
| HweryongTKD vs King | 32–15 | 68.09% |
| HweryongTKD vs Heihachi | 36–11 | 76.60% |
| HweryongTKD vs Reina | 30–15 | 66.67% |
| HweryongTKD vs Hwoarang | 34–9 | 79.07% |
| HweryongTKD vs Dragunov | 31–12 | 72.09% |
| HweryongTKD vs Steve | 23–14 | 62.16% |
| HweryongTKD vs Paul | 26–10 | 72.22% |
| HweryongTKD vs Law | 21–14 | 60.00% |
| HweryongTKD vs Lee | 22–13 | 62.86% |
| HweryongTKD vs Lili | 22–11 | 66.67% |
| HweryongTKD vs Yoshimitsu | 21–8 | 72.41% |
| HweryongTKD vs Jun | 16–13 | 55.17% |
| HweryongTKD vs Azucena | 20–6 | 76.92% |
| HweryongTKD vs Devil Jin | 17–8 | 68.00% |
| HweryongTKD vs Xiaoyu | 17–6 | 73.91% |
| HweryongTKD vs Asuka | 12–11 | 52.17% |
| HweryongTKD vs Victor | 15–7 | 68.18% |
| HweryongTKD vs Lars | 18–3 | 85.71% |
| HweryongTKD vs Alisa | 15–5 | 75.00% |
| HweryongTKD vs Jack-8 | 7–11 | 38.89% |
| HweryongTKD vs Eddy | 9–8 | 52.94% |
| HweryongTKD vs Lidia | 12–5 | 70.59% |
| HweryongTKD vs Leroy | 11–5 | 68.75% |
| HweryongTKD vs Feng | 10–5 | 66.67% |
| HweryongTKD vs Leo | 6–9 | 40.00% |
| HweryongTKD vs Nina | 6–8 | 42.86% |
| HweryongTKD vs Claudio | 7–4 | 63.64% |
| HweryongTKD vs Shaheen | 7–3 | 70.00% |
| HweryongTKD vs Raven | 6–3 | 66.67% |
| HweryongTKD vs Fahkumram | 8–1 | 88.89% |
| HweryongTKD vs Armor King | 8–1 | 88.89% |
| HweryongTKD vs Zafina | 5–3 | 62.50% |
| HweryongTKD vs Kuma | 0–5 | 0.00% |
| HweryongTKD vs Miary Zo | 3–2 | 60.00% |
| HweryongTKD vs Clive | 3–1 | 75.00% |
| HweryongTKD vs Anna | 2–2 | 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.