| Goku-San vs Kazuya | 50–39 | 56.18% |
| Goku-San vs Steve | 36–45 | 44.44% |
| Goku-San vs Jin | 37–41 | 47.44% |
| Goku-San vs King | 39–35 | 52.70% |
| Goku-San vs Law | 32–31 | 50.79% |
| Goku-San vs Paul | 29–29 | 50.00% |
| Goku-San vs Heihachi | 31–26 | 54.39% |
| Goku-San vs Bryan | 28–26 | 51.85% |
| Goku-San vs Hwoarang | 19–33 | 36.54% |
| Goku-San vs Armor King | 30–18 | 62.50% |
| Goku-San vs Yoshimitsu | 18–25 | 41.86% |
| Goku-San vs Eddy | 18–23 | 43.90% |
| Goku-San vs Lili | 15–21 | 41.67% |
| Goku-San vs Fahkumram | 19–9 | 67.86% |
| Goku-San vs Reina | 7–19 | 26.92% |
| Goku-San vs Dragunov | 11–14 | 44.00% |
| Goku-San vs Azucena | 13–12 | 52.00% |
| Goku-San vs Clive | 13–12 | 52.00% |
| Goku-San vs Jun | 10–13 | 43.48% |
| Goku-San vs Nina | 10–12 | 45.45% |
| Goku-San vs Lars | 10–11 | 47.62% |
| Goku-San vs Victor | 9–11 | 45.00% |
| Goku-San vs Devil Jin | 10–9 | 52.63% |
| Goku-San vs Feng | 11–8 | 57.89% |
| Goku-San vs Asuka | 7–9 | 43.75% |
| Goku-San vs Anna | 6–10 | 37.50% |
| Goku-San vs Lee | 5–10 | 33.33% |
| Goku-San vs Xiaoyu | 7–7 | 50.00% |
| Goku-San vs Claudio | 8–6 | 57.14% |
| Goku-San vs Leo | 7–6 | 53.85% |
| Goku-San vs Alisa | 9–4 | 69.23% |
| Goku-San vs Zafina | 5–6 | 45.45% |
| Goku-San vs Jack-8 | 7–3 | 70.00% |
| Goku-San vs Lidia | 4–6 | 40.00% |
| Goku-San vs Leroy | 4–5 | 44.44% |
| Goku-San vs Shaheen | 4–2 | 66.67% |
| Goku-San vs Miary Zo | 4–2 | 66.67% |
| Goku-San vs Panda | 1–3 | 25.00% |
| Goku-San vs Raven | 1–3 | 25.00% |
| Goku-San vs Kuma | 0–2 | 0.00% |
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.