| Hellogoodbye vs Kazuya | 59–45 | 56.73% |
| Hellogoodbye vs Steve | 50–45 | 52.63% |
| Hellogoodbye vs Jin | 40–36 | 52.63% |
| Hellogoodbye vs Bryan | 38–32 | 54.29% |
| Hellogoodbye vs Reina | 32–29 | 52.46% |
| Hellogoodbye vs Jun | 32–28 | 53.33% |
| Hellogoodbye vs King | 26–29 | 47.27% |
| Hellogoodbye vs Paul | 21–33 | 38.89% |
| Hellogoodbye vs Lili | 21–30 | 41.18% |
| Hellogoodbye vs Azucena | 19–27 | 41.30% |
| Hellogoodbye vs Eddy | 23–23 | 50.00% |
| Hellogoodbye vs Dragunov | 12–32 | 27.27% |
| Hellogoodbye vs Law | 18–24 | 42.86% |
| Hellogoodbye vs Lee | 24–18 | 57.14% |
| Hellogoodbye vs Hwoarang | 20–21 | 48.78% |
| Hellogoodbye vs Yoshimitsu | 18–22 | 45.00% |
| Hellogoodbye vs Xiaoyu | 20–19 | 51.28% |
| Hellogoodbye vs Asuka | 11–27 | 28.95% |
| Hellogoodbye vs Feng | 13–25 | 34.21% |
| Hellogoodbye vs Devil Jin | 14–17 | 45.16% |
| Hellogoodbye vs Lars | 12–14 | 46.15% |
| Hellogoodbye vs Jack-8 | 12–13 | 48.00% |
| Hellogoodbye vs Victor | 7–18 | 28.00% |
| Hellogoodbye vs Nina | 14–9 | 60.87% |
| Hellogoodbye vs Lidia | 4–19 | 17.39% |
| Hellogoodbye vs Leroy | 9–13 | 40.91% |
| Hellogoodbye vs Alisa | 8–13 | 38.10% |
| Hellogoodbye vs Heihachi | 11–9 | 55.00% |
| Hellogoodbye vs Kuma | 6–12 | 33.33% |
| Hellogoodbye vs Raven | 10–6 | 62.50% |
| Hellogoodbye vs Leo | 8–7 | 53.33% |
| Hellogoodbye vs Zafina | 2–11 | 15.38% |
| Hellogoodbye vs Panda | 4–6 | 40.00% |
| Hellogoodbye vs Clive | 7–2 | 77.78% |
| Hellogoodbye vs Claudio | 4–4 | 50.00% |
| Hellogoodbye vs Shaheen | 5–3 | 62.50% |
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.