| Goya vs Kazuya | 332–304 | 52.20% |
| Goya vs Jin | 236–254 | 48.16% |
| Goya vs Bryan | 196–222 | 46.89% |
| Goya vs Hwoarang | 214–189 | 53.10% |
| Goya vs King | 186–189 | 49.60% |
| Goya vs Law | 155–184 | 45.72% |
| Goya vs Heihachi | 121–170 | 41.58% |
| Goya vs Yoshimitsu | 159–130 | 55.02% |
| Goya vs Reina | 136–148 | 47.89% |
| Goya vs Steve | 142–131 | 52.01% |
| Goya vs Paul | 125–144 | 46.47% |
| Goya vs Lee | 90–155 | 36.73% |
| Goya vs Lili | 95–108 | 46.80% |
| Goya vs Jun | 86–100 | 46.24% |
| Goya vs Devil Jin | 78–96 | 44.83% |
| Goya vs Dragunov | 67–104 | 39.18% |
| Goya vs Asuka | 77–89 | 46.39% |
| Goya vs Lars | 69–90 | 43.40% |
| Goya vs Azucena | 83–66 | 55.70% |
| Goya vs Nina | 59–86 | 40.69% |
| Goya vs Leo | 57–81 | 41.30% |
| Goya vs Xiaoyu | 71–65 | 52.21% |
| Goya vs Eddy | 57–69 | 45.24% |
| Goya vs Victor | 65–56 | 53.72% |
| Goya vs Alisa | 47–67 | 41.23% |
| Goya vs Claudio | 51–63 | 44.74% |
| Goya vs Lidia | 48–66 | 42.11% |
| Goya vs Raven | 51–53 | 49.04% |
| Goya vs Leroy | 41–59 | 41.00% |
| Goya vs Clive | 55–42 | 56.70% |
| Goya vs Feng | 33–59 | 35.87% |
| Goya vs Jack-8 | 41–47 | 46.59% |
| Goya vs Anna | 28–33 | 45.90% |
| Goya vs Shaheen | 23–27 | 46.00% |
| Goya vs Kuma | 21–20 | 51.22% |
| Goya vs Zafina | 11–27 | 28.95% |
| Goya vs Fahkumram | 7–18 | 28.00% |
| Goya vs Panda | 14–10 | 58.33% |
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.