| Gaxkang vs Reina | 33–26 | 55.93% |
| Gaxkang vs Kazuya | 31–18 | 63.27% |
| Gaxkang vs Eddy | 30–19 | 61.22% |
| Gaxkang vs Yoshimitsu | 25–19 | 56.82% |
| Gaxkang vs Hwoarang | 23–18 | 56.10% |
| Gaxkang vs Jin | 21–20 | 51.22% |
| Gaxkang vs Steve | 28–12 | 70.00% |
| Gaxkang vs Lili | 21–18 | 53.85% |
| Gaxkang vs Lars | 28–11 | 71.79% |
| Gaxkang vs King | 13–24 | 35.14% |
| Gaxkang vs Dragunov | 22–12 | 64.71% |
| Gaxkang vs Lee | 15–17 | 46.88% |
| Gaxkang vs Bryan | 21–9 | 70.00% |
| Gaxkang vs Jun | 15–11 | 57.69% |
| Gaxkang vs Lidia | 18–8 | 69.23% |
| Gaxkang vs Law | 15–10 | 60.00% |
| Gaxkang vs Fahkumram | 12–12 | 50.00% |
| Gaxkang vs Armor King | 9–15 | 37.50% |
| Gaxkang vs Paul | 13–9 | 59.09% |
| Gaxkang vs Asuka | 16–6 | 72.73% |
| Gaxkang vs Azucena | 13–9 | 59.09% |
| Gaxkang vs Victor | 13–9 | 59.09% |
| Gaxkang vs Heihachi | 13–9 | 59.09% |
| Gaxkang vs Feng | 13–5 | 72.22% |
| Gaxkang vs Raven | 12–6 | 66.67% |
| Gaxkang vs Clive | 10–7 | 58.82% |
| Gaxkang vs Leo | 6–9 | 40.00% |
| Gaxkang vs Nina | 7–8 | 46.67% |
| Gaxkang vs Anna | 5–10 | 33.33% |
| Gaxkang vs Devil Jin | 11–3 | 78.57% |
| Gaxkang vs Claudio | 4–9 | 30.77% |
| Gaxkang vs Leroy | 8–5 | 61.54% |
| Gaxkang vs Xiaoyu | 8–3 | 72.73% |
| Gaxkang vs Alisa | 7–3 | 70.00% |
| Gaxkang vs Panda | 1–8 | 11.11% |
| Gaxkang vs Jack-8 | 4–4 | 50.00% |
| Gaxkang vs Zafina | 2–5 | 28.57% |
| Gaxkang vs Miary Zo | 6–1 | 85.71% |
| Gaxkang vs Shaheen | 4–1 | 80.00% |
| Gaxkang vs Kuma | 1–1 | 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.