| gobab vs Heihachi | 56–50 | 52.83% |
| gobab vs King | 55–48 | 53.40% |
| gobab vs Dragunov | 46–53 | 46.46% |
| gobab vs Paul | 44–42 | 51.16% |
| gobab vs Hwoarang | 48–36 | 57.14% |
| gobab vs Kazuya | 40–31 | 56.34% |
| gobab vs Bryan | 32–34 | 48.48% |
| gobab vs Victor | 38–25 | 60.32% |
| gobab vs Reina | 37–24 | 60.66% |
| gobab vs Steve | 27–33 | 45.00% |
| gobab vs Jin | 34–25 | 57.63% |
| gobab vs Shaheen | 26–33 | 44.07% |
| gobab vs Claudio | 31–19 | 62.00% |
| gobab vs Eddy | 26–24 | 52.00% |
| gobab vs Asuka | 30–19 | 61.22% |
| gobab vs Lee | 30–19 | 61.22% |
| gobab vs Feng | 27–21 | 56.25% |
| gobab vs Law | 31–15 | 67.39% |
| gobab vs Lili | 29–16 | 64.44% |
| gobab vs Alisa | 29–16 | 64.44% |
| gobab vs Devil Jin | 22–21 | 51.16% |
| gobab vs Nina | 19–20 | 48.72% |
| gobab vs Jack-8 | 21–16 | 56.76% |
| gobab vs Leroy | 19–18 | 51.35% |
| gobab vs Lars | 21–14 | 60.00% |
| gobab vs Kuma | 21–13 | 61.76% |
| gobab vs Jun | 17–17 | 50.00% |
| gobab vs Lidia | 12–22 | 35.29% |
| gobab vs Yoshimitsu | 19–13 | 59.38% |
| gobab vs Zafina | 18–14 | 56.25% |
| gobab vs Xiaoyu | 16–15 | 51.61% |
| gobab vs Azucena | 17–11 | 60.71% |
| gobab vs Leo | 11–15 | 42.31% |
| gobab vs Raven | 9–7 | 56.25% |
| gobab vs Panda | 7–4 | 63.64% |
| gobab vs Clive | 3–5 | 37.50% |
| gobab vs Fahkumram | 4–2 | 66.67% |
| gobab vs Anna | 1–3 | 25.00% |
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.