| GOLDENJOY vs Kazuya | 134–108 | 55.37% |
| GOLDENJOY vs Hwoarang | 131–94 | 58.22% |
| GOLDENJOY vs Dragunov | 115–110 | 51.11% |
| GOLDENJOY vs Bryan | 114–108 | 51.35% |
| GOLDENJOY vs Armor King | 93–117 | 44.29% |
| GOLDENJOY vs Paul | 104–101 | 50.73% |
| GOLDENJOY vs Jin | 88–109 | 44.67% |
| GOLDENJOY vs Steve | 88–105 | 45.60% |
| GOLDENJOY vs Reina | 96–88 | 52.17% |
| GOLDENJOY vs King | 80–95 | 45.71% |
| GOLDENJOY vs Asuka | 75–79 | 48.70% |
| GOLDENJOY vs Lili | 89–63 | 58.55% |
| GOLDENJOY vs Law | 48–72 | 40.00% |
| GOLDENJOY vs Azucena | 53–55 | 49.07% |
| GOLDENJOY vs Victor | 41–66 | 38.32% |
| GOLDENJOY vs Nina | 63–41 | 60.58% |
| GOLDENJOY vs Fahkumram | 39–56 | 41.05% |
| GOLDENJOY vs Yoshimitsu | 38–55 | 40.86% |
| GOLDENJOY vs Devil Jin | 38–53 | 41.76% |
| GOLDENJOY vs Xiaoyu | 41–47 | 46.59% |
| GOLDENJOY vs Eddy | 32–56 | 36.36% |
| GOLDENJOY vs Jack-8 | 30–55 | 35.29% |
| GOLDENJOY vs Anna | 39–41 | 48.75% |
| GOLDENJOY vs Heihachi | 32–46 | 41.03% |
| GOLDENJOY vs Lee | 34–43 | 44.16% |
| GOLDENJOY vs Leroy | 34–43 | 44.16% |
| GOLDENJOY vs Feng | 33–43 | 43.42% |
| GOLDENJOY vs Lars | 31–35 | 46.97% |
| GOLDENJOY vs Alisa | 24–41 | 36.92% |
| GOLDENJOY vs Claudio | 30–33 | 47.62% |
| GOLDENJOY vs Jun | 33–29 | 53.23% |
| GOLDENJOY vs Clive | 21–34 | 38.18% |
| GOLDENJOY vs Miary Zo | 27–26 | 50.94% |
| GOLDENJOY vs Leo | 30–20 | 60.00% |
| GOLDENJOY vs Lidia | 22–23 | 48.89% |
| GOLDENJOY vs Zafina | 22–19 | 53.66% |
| GOLDENJOY vs Raven | 12–29 | 29.27% |
| GOLDENJOY vs Shaheen | 10–30 | 25.00% |
| GOLDENJOY vs Kuma | 15–21 | 41.67% |
| GOLDENJOY vs Panda | 5–8 | 38.46% |
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.