| Goku7802 vs Steve | 4–1 | 80.00% |
| Goku7802 vs Hwoarang | 1–3 | 25.00% |
| Goku7802 vs Alisa | 1–2 | 33.33% |
| Goku7802 vs Nina | 1–2 | 33.33% |
| Goku7802 vs Lee | 2–1 | 66.67% |
| Goku7802 vs Kuma | 1–2 | 33.33% |
| Goku7802 vs Leroy | 2–1 | 66.67% |
| Goku7802 vs Reina | 1–2 | 33.33% |
| Goku7802 vs Lili | 1–1 | 50.00% |
| Goku7802 vs Leo | 0–2 | 0.00% |
| Goku7802 vs Jun | 0–2 | 0.00% |
| Goku7802 vs Azucena | 2–0 | 100.00% |
| Goku7802 vs Fahkumram | 0–2 | 0.00% |
| Goku7802 vs Miary Zo | 2–0 | 100.00% |
| Goku7802 vs Paul | 0–1 | 0.00% |
| Goku7802 vs Law | 0–1 | 0.00% |
| Goku7802 vs Jin | 0–1 | 0.00% |
| Goku7802 vs Kazuya | 1–0 | 100.00% |
| Goku7802 vs Jack-8 | 0–1 | 0.00% |
| Goku7802 vs Dragunov | 0–1 | 0.00% |
| Goku7802 vs Victor | 0–1 | 0.00% |
| Goku7802 vs Eddy | 0–1 | 0.00% |
| Goku7802 vs Armor King | 0–1 | 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.