| Goyicao vs Kazuya | 297–296 | 50.08% |
| Goyicao vs Jin | 269–289 | 48.21% |
| Goyicao vs Heihachi | 189–187 | 50.27% |
| Goyicao vs Law | 180–177 | 50.42% |
| Goyicao vs King | 175–180 | 49.30% |
| Goyicao vs Reina | 173–173 | 50.00% |
| Goyicao vs Bryan | 169–173 | 49.42% |
| Goyicao vs Hwoarang | 178–151 | 54.10% |
| Goyicao vs Steve | 151–132 | 53.36% |
| Goyicao vs Paul | 103–134 | 43.46% |
| Goyicao vs Yoshimitsu | 91–140 | 39.39% |
| Goyicao vs Jun | 96–121 | 44.24% |
| Goyicao vs Eddy | 78–131 | 37.32% |
| Goyicao vs Nina | 87–118 | 42.44% |
| Goyicao vs Dragunov | 105–98 | 51.72% |
| Goyicao vs Asuka | 81–108 | 42.86% |
| Goyicao vs Lili | 85–98 | 46.45% |
| Goyicao vs Devil Jin | 77–94–1 | 45.03% |
| Goyicao vs Lee | 65–95 | 40.62% |
| Goyicao vs Clive | 73–86 | 45.91% |
| Goyicao vs Lars | 47–106 | 30.72% |
| Goyicao vs Victor | 58–95 | 37.91% |
| Goyicao vs Lidia | 77–73 | 51.33% |
| Goyicao vs Alisa | 61–62 | 49.59% |
| Goyicao vs Leroy | 57–59 | 49.14% |
| Goyicao vs Feng | 43–72 | 37.39% |
| Goyicao vs Jack-8 | 51–61 | 45.54% |
| Goyicao vs Xiaoyu | 50–50 | 50.00% |
| Goyicao vs Azucena | 40–54–1 | 42.55% |
| Goyicao vs Claudio | 35–52 | 40.23% |
| Goyicao vs Raven | 24–46 | 34.29% |
| Goyicao vs Leo | 24–39 | 38.10% |
| Goyicao vs Zafina | 20–35 | 36.36% |
| Goyicao vs Anna | 27–28 | 49.09% |
| Goyicao vs Armor King | 21–24 | 46.67% |
| Goyicao vs Kuma | 15–29 | 34.09% |
| Goyicao vs Shaheen | 13–28 | 31.71% |
| Goyicao vs Panda | 12–29 | 29.27% |
| Goyicao vs Fahkumram | 21–8 | 72.41% |
| Goyicao vs Miary Zo | 2–2 | 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.