| Go0och Smoocher vs King | 57–42 | 57.58% |
| Go0och Smoocher vs Jin | 38–60 | 38.78% |
| Go0och Smoocher vs Bryan | 49–45 | 52.13% |
| Go0och Smoocher vs Kazuya | 49–41 | 54.44% |
| Go0och Smoocher vs Reina | 40–41 | 49.38% |
| Go0och Smoocher vs Steve | 29–34 | 46.03% |
| Go0och Smoocher vs Paul | 33–28 | 54.10% |
| Go0och Smoocher vs Lili | 28–24 | 53.85% |
| Go0och Smoocher vs Hwoarang | 24–23 | 51.06% |
| Go0och Smoocher vs Dragunov | 22–22 | 50.00% |
| Go0och Smoocher vs Lars | 20–23 | 46.51% |
| Go0och Smoocher vs Law | 13–29 | 30.95% |
| Go0och Smoocher vs Feng | 28–13 | 68.29% |
| Go0och Smoocher vs Asuka | 15–23 | 39.47% |
| Go0och Smoocher vs Jun | 16–22 | 42.11% |
| Go0och Smoocher vs Yoshimitsu | 10–27 | 27.03% |
| Go0och Smoocher vs Eddy | 20–16–1 | 55.56% |
| Go0och Smoocher vs Nina | 13–22 | 37.14% |
| Go0och Smoocher vs Azucena | 12–21 | 36.36% |
| Go0och Smoocher vs Lee | 14–17 | 45.16% |
| Go0och Smoocher vs Devil Jin | 15–13 | 53.57% |
| Go0och Smoocher vs Xiaoyu | 15–11 | 57.69% |
| Go0och Smoocher vs Leo | 14–10 | 58.33% |
| Go0och Smoocher vs Raven | 9–15 | 37.50% |
| Go0och Smoocher vs Leroy | 11–12 | 47.83% |
| Go0och Smoocher vs Victor | 11–12 | 47.83% |
| Go0och Smoocher vs Jack-8 | 11–11 | 50.00% |
| Go0och Smoocher vs Kuma | 6–11 | 35.29% |
| Go0och Smoocher vs Alisa | 5–11 | 31.25% |
| Go0och Smoocher vs Claudio | 8–8 | 50.00% |
| Go0och Smoocher vs Zafina | 7–7 | 50.00% |
| Go0och Smoocher vs Shaheen | 7–4 | 63.64% |
| Go0och Smoocher vs Panda | 2–4 | 33.33% |
| Go0och Smoocher vs Lidia | 1–2 | 33.33% |
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.