| GoldenArms vs King | 93–87 | 51.67% |
| GoldenArms vs Kazuya | 61–83 | 42.36% |
| GoldenArms vs Jin | 77–65 | 54.23% |
| GoldenArms vs Bryan | 53–58 | 47.75% |
| GoldenArms vs Eddy | 48–59 | 44.86% |
| GoldenArms vs Dragunov | 37–58 | 38.95% |
| GoldenArms vs Hwoarang | 54–38 | 58.70% |
| GoldenArms vs Heihachi | 42–50 | 45.65% |
| GoldenArms vs Reina | 47–44 | 51.65% |
| GoldenArms vs Law | 39–51 | 43.33% |
| GoldenArms vs Jun | 46–40 | 53.49% |
| GoldenArms vs Yoshimitsu | 38–47 | 44.71% |
| GoldenArms vs Steve | 35–48 | 42.17% |
| GoldenArms vs Victor | 28–53 | 34.57% |
| GoldenArms vs Lars | 29–46 | 38.67% |
| GoldenArms vs Lee | 35–40 | 46.67% |
| GoldenArms vs Azucena | 29–41 | 41.43% |
| GoldenArms vs Paul | 27–41 | 39.71% |
| GoldenArms vs Xiaoyu | 23–30 | 43.40% |
| GoldenArms vs Asuka | 22–31 | 41.51% |
| GoldenArms vs Lili | 32–17 | 65.31% |
| GoldenArms vs Clive | 18–31 | 36.73% |
| GoldenArms vs Nina | 24–23 | 51.06% |
| GoldenArms vs Leo | 18–28 | 39.13% |
| GoldenArms vs Jack-8 | 12–32 | 27.27% |
| GoldenArms vs Devil Jin | 14–30 | 31.82% |
| GoldenArms vs Feng | 20–24 | 45.45% |
| GoldenArms vs Raven | 20–22 | 47.62% |
| GoldenArms vs Leroy | 12–25 | 32.43% |
| GoldenArms vs Alisa | 19–14 | 57.58% |
| GoldenArms vs Shaheen | 7–18 | 28.00% |
| GoldenArms vs Kuma | 15–10 | 60.00% |
| GoldenArms vs Claudio | 12–12 | 50.00% |
| GoldenArms vs Zafina | 9–14 | 39.13% |
| GoldenArms vs Lidia | 10–9 | 52.63% |
| GoldenArms vs Fahkumram | 6–5 | 54.55% |
| GoldenArms vs Panda | 2–3 | 40.00% |
| GoldenArms vs Anna | 0–2 | 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.