| gdbx350 vs Bryan | 151–163 | 48.09% |
| gdbx350 vs Kazuya | 172–137 | 55.66% |
| gdbx350 vs Reina | 112–131 | 46.09% |
| gdbx350 vs King | 102–113 | 47.44% |
| gdbx350 vs Jin | 122–92 | 57.01% |
| gdbx350 vs Dragunov | 116–96 | 54.72% |
| gdbx350 vs Hwoarang | 100–109 | 47.85% |
| gdbx350 vs Asuka | 104–99 | 51.23% |
| gdbx350 vs Paul | 108–72 | 60.00% |
| gdbx350 vs Yoshimitsu | 70–85 | 45.16% |
| gdbx350 vs Law | 64–83 | 43.54% |
| gdbx350 vs Heihachi | 76–69 | 52.41% |
| gdbx350 vs Victor | 65–79 | 45.14% |
| gdbx350 vs Lidia | 56–85 | 39.72% |
| gdbx350 vs Steve | 70–68 | 50.72% |
| gdbx350 vs Clive | 59–77 | 43.38% |
| gdbx350 vs Xiaoyu | 62–73 | 45.93% |
| gdbx350 vs Devil Jin | 63–70 | 47.37% |
| gdbx350 vs Alisa | 66–64 | 50.77% |
| gdbx350 vs Azucena | 72–55 | 56.69% |
| gdbx350 vs Lili | 67–54 | 55.37% |
| gdbx350 vs Lars | 56–60 | 48.28% |
| gdbx350 vs Jun | 64–52 | 55.17% |
| gdbx350 vs Claudio | 55–54 | 50.46% |
| gdbx350 vs Feng | 59–45 | 56.73% |
| gdbx350 vs Lee | 42–62 | 40.38% |
| gdbx350 vs Nina | 53–38 | 58.24% |
| gdbx350 vs Armor King | 37–48 | 43.53% |
| gdbx350 vs Jack-8 | 37–42 | 46.84% |
| gdbx350 vs Leo | 37–39 | 48.68% |
| gdbx350 vs Zafina | 45–27 | 62.50% |
| gdbx350 vs Leroy | 39–21 | 65.00% |
| gdbx350 vs Anna | 31–29 | 51.67% |
| gdbx350 vs Raven | 20–34 | 37.04% |
| gdbx350 vs Shaheen | 23–30 | 43.40% |
| gdbx350 vs Fahkumram | 24–25 | 48.98% |
| gdbx350 vs Eddy | 20–27 | 42.55% |
| gdbx350 vs Panda | 22–24 | 47.83% |
| gdbx350 vs Kuma | 17–25 | 40.48% |
| gdbx350 vs Miary Zo | 14–20 | 41.18% |
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.