| Goyang vs Kazuya | 34–18 | 65.38% |
| Goyang vs Reina | 36–15 | 70.59% |
| Goyang vs Dragunov | 29–19 | 60.42% |
| Goyang vs Hwoarang | 23–18 | 56.10% |
| Goyang vs Jin | 24–12 | 66.67% |
| Goyang vs Paul | 18–12 | 60.00% |
| Goyang vs Yoshimitsu | 19–10 | 65.52% |
| Goyang vs Bryan | 15–14 | 51.72% |
| Goyang vs King | 18–7 | 72.00% |
| Goyang vs Fahkumram | 14–9 | 60.87% |
| Goyang vs Steve | 11–11 | 50.00% |
| Goyang vs Asuka | 14–8 | 63.64% |
| Goyang vs Lidia | 11–11 | 50.00% |
| Goyang vs Law | 11–9 | 55.00% |
| Goyang vs Victor | 13–7 | 65.00% |
| Goyang vs Lili | 12–7 | 63.16% |
| Goyang vs Claudio | 10–6 | 62.50% |
| Goyang vs Eddy | 9–7 | 56.25% |
| Goyang vs Azucena | 7–8 | 46.67% |
| Goyang vs Feng | 7–7 | 50.00% |
| Goyang vs Lars | 4–10 | 28.57% |
| Goyang vs Heihachi | 7–7 | 50.00% |
| Goyang vs Jack-8 | 5–7 | 41.67% |
| Goyang vs Nina | 10–2 | 83.33% |
| Goyang vs Jun | 6–6 | 50.00% |
| Goyang vs Alisa | 10–1 | 90.91% |
| Goyang vs Clive | 7–3 | 70.00% |
| Goyang vs Xiaoyu | 7–1 | 87.50% |
| Goyang vs Devil Jin | 4–4 | 50.00% |
| Goyang vs Leo | 4–4 | 50.00% |
| Goyang vs Kuma | 6–2 | 75.00% |
| Goyang vs Zafina | 3–5 | 37.50% |
| Goyang vs Shaheen | 4–3 | 57.14% |
| Goyang vs Panda | 6–1 | 85.71% |
| Goyang vs Leroy | 3–4 | 42.86% |
| Goyang vs Lee | 2–4 | 33.33% |
| Goyang vs Anna | 2–3 | 40.00% |
| Goyang vs Raven | 0–1 | 0.00% |
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.