| gojocat vs King | 150–190 | 44.12% |
| gojocat vs Kazuya | 142–158 | 47.33% |
| gojocat vs Jin | 128–164 | 43.84% |
| gojocat vs Bryan | 144–124 | 53.73% |
| gojocat vs Dragunov | 111–153 | 42.05% |
| gojocat vs Paul | 82–114 | 41.84% |
| gojocat vs Heihachi | 65–123 | 34.57% |
| gojocat vs Law | 89–94 | 48.63% |
| gojocat vs Yoshimitsu | 77–103 | 42.78% |
| gojocat vs Reina | 76–73 | 51.01% |
| gojocat vs Hwoarang | 52–90 | 36.62% |
| gojocat vs Steve | 63–76–1 | 45.32% |
| gojocat vs Devil Jin | 72–64 | 52.94% |
| gojocat vs Armor King | 51–66 | 43.59% |
| gojocat vs Eddy | 37–63 | 37.00% |
| gojocat vs Nina | 42–55 | 43.30% |
| gojocat vs Clive | 53–42 | 55.79% |
| gojocat vs Lee | 21–60 | 25.93% |
| gojocat vs Victor | 30–50 | 37.50% |
| gojocat vs Lars | 29–47 | 38.16% |
| gojocat vs Alisa | 31–40 | 43.66% |
| gojocat vs Asuka | 31–38 | 44.93% |
| gojocat vs Lili | 23–45 | 33.82% |
| gojocat vs Claudio | 25–35 | 41.67% |
| gojocat vs Jun | 25–34 | 42.37% |
| gojocat vs Xiaoyu | 27–29 | 48.21% |
| gojocat vs Feng | 13–34 | 27.66% |
| gojocat vs Azucena | 15–28 | 34.88% |
| gojocat vs Lidia | 9–22 | 29.03% |
| gojocat vs Jack-8 | 11–15 | 42.31% |
| gojocat vs Leo | 13–13 | 50.00% |
| gojocat vs Kuma | 12–14 | 46.15% |
| gojocat vs Zafina | 13–13 | 50.00% |
| gojocat vs Leroy | 10–14 | 41.67% |
| gojocat vs Raven | 6–18 | 25.00% |
| gojocat vs Fahkumram | 6–11 | 35.29% |
| gojocat vs Shaheen | 6–10 | 37.50% |
| gojocat vs Anna | 9–3 | 75.00% |
| gojocat vs Panda | 5–4 | 55.56% |
| gojocat vs Miary Zo | 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.