| Gochion vs Kazuya | 214–191 | 52.84% |
| Gochion vs Heihachi | 179–200 | 47.23% |
| Gochion vs Jin | 143–205 | 41.09% |
| Gochion vs King | 155–144 | 51.84% |
| Gochion vs Bryan | 134–148 | 47.52% |
| Gochion vs Hwoarang | 123–144 | 46.07% |
| Gochion vs Law | 138–110 | 55.65% |
| Gochion vs Reina | 94–117 | 44.55% |
| Gochion vs Steve | 118–91 | 56.46% |
| Gochion vs Lili | 94–110 | 46.08% |
| Gochion vs Dragunov | 100–98 | 50.51% |
| Gochion vs Yoshimitsu | 95–101 | 48.47% |
| Gochion vs Armor King | 75–116 | 39.27% |
| Gochion vs Paul | 68–105 | 39.31% |
| Gochion vs Clive | 81–86 | 48.50% |
| Gochion vs Lee | 71–79 | 47.33% |
| Gochion vs Devil Jin | 76–71 | 51.70% |
| Gochion vs Jun | 75–58 | 56.39% |
| Gochion vs Feng | 49–65 | 42.98% |
| Gochion vs Xiaoyu | 51–58 | 46.79% |
| Gochion vs Lidia | 54–54 | 50.00% |
| Gochion vs Asuka | 64–43 | 59.81% |
| Gochion vs Nina | 52–49 | 51.49% |
| Gochion vs Eddy | 50–45 | 52.63% |
| Gochion vs Azucena | 45–49 | 47.87% |
| Gochion vs Lars | 47–42 | 52.81% |
| Gochion vs Fahkumram | 37–52 | 41.57% |
| Gochion vs Alisa | 49–31 | 61.25% |
| Gochion vs Victor | 40–36 | 52.63% |
| Gochion vs Claudio | 30–38 | 44.12% |
| Gochion vs Leroy | 26–37 | 41.27% |
| Gochion vs Leo | 29–28 | 50.88% |
| Gochion vs Jack-8 | 26–23 | 53.06% |
| Gochion vs Miary Zo | 34–15 | 69.39% |
| Gochion vs Raven | 21–26 | 44.68% |
| Gochion vs Anna | 18–27 | 40.00% |
| Gochion vs Kuma | 22–22 | 50.00% |
| Gochion vs Zafina | 16–18 | 47.06% |
| Gochion vs Shaheen | 16–11 | 59.26% |
| Gochion vs Panda | 9–10 | 47.37% |
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.