| IM GOKU vs Kazuya | 160–172 | 48.19% |
| IM GOKU vs Jin | 173–157 | 52.42% |
| IM GOKU vs Bryan | 163–154 | 51.42% |
| IM GOKU vs Dragunov | 164–151 | 52.06% |
| IM GOKU vs King | 188–123 | 60.45% |
| IM GOKU vs Clive | 112–145 | 43.58% |
| IM GOKU vs Steve | 102–96 | 51.52% |
| IM GOKU vs Law | 87–97 | 47.28% |
| IM GOKU vs Paul | 74–93 | 44.31% |
| IM GOKU vs Yoshimitsu | 65–77 | 45.77% |
| IM GOKU vs Hwoarang | 55–84 | 39.57% |
| IM GOKU vs Heihachi | 63–72 | 46.67% |
| IM GOKU vs Reina | 55–61 | 47.41% |
| IM GOKU vs Devil Jin | 59–55 | 51.75% |
| IM GOKU vs Nina | 64–46 | 58.18% |
| IM GOKU vs Victor | 50–51–1 | 49.50% |
| IM GOKU vs Lili | 34–65 | 34.34% |
| IM GOKU vs Feng | 50–39 | 56.18% |
| IM GOKU vs Lars | 44–42 | 51.16% |
| IM GOKU vs Anna | 32–51 | 38.55% |
| IM GOKU vs Jun | 37–40 | 48.05% |
| IM GOKU vs Lee | 24–45 | 34.78% |
| IM GOKU vs Asuka | 29–38 | 43.28% |
| IM GOKU vs Eddy | 30–37 | 44.78% |
| IM GOKU vs Xiaoyu | 22–28 | 44.00% |
| IM GOKU vs Claudio | 24–24 | 50.00% |
| IM GOKU vs Raven | 25–23 | 52.08% |
| IM GOKU vs Kuma | 20–26 | 43.48% |
| IM GOKU vs Alisa | 17–28 | 37.78% |
| IM GOKU vs Jack-8 | 18–26 | 40.91% |
| IM GOKU vs Leo | 15–27 | 35.71% |
| IM GOKU vs Azucena | 17–23 | 42.50% |
| IM GOKU vs Lidia | 20–19 | 51.28% |
| IM GOKU vs Fahkumram | 12–27 | 30.77% |
| IM GOKU vs Armor King | 22–13 | 62.86% |
| IM GOKU vs Leroy | 11–17 | 39.29% |
| IM GOKU vs Shaheen | 12–15 | 44.44% |
| IM GOKU vs Zafina | 8–12 | 40.00% |
| IM GOKU vs Panda | 2–10 | 16.67% |
| IM GOKU vs Miary Zo | 2–0 | 100.00% |
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.