| gdsgfg vs Kazuya | 111–123 | 47.44% |
| gdsgfg vs Hwoarang | 86–100 | 46.24% |
| gdsgfg vs Paul | 71–103 | 40.80% |
| gdsgfg vs King | 66–98 | 40.24% |
| gdsgfg vs Bryan | 65–91 | 41.67% |
| gdsgfg vs Dragunov | 66–76 | 46.48% |
| gdsgfg vs Reina | 66–67 | 49.62% |
| gdsgfg vs Lili | 67–65 | 50.76% |
| gdsgfg vs Jin | 56–74 | 43.08% |
| gdsgfg vs Steve | 55–67 | 45.08% |
| gdsgfg vs Asuka | 53–64 | 45.30% |
| gdsgfg vs Heihachi | 42–55 | 43.30% |
| gdsgfg vs Victor | 49–44 | 52.69% |
| gdsgfg vs Devil Jin | 29–54 | 34.94% |
| gdsgfg vs Law | 38–42 | 47.50% |
| gdsgfg vs Jun | 38–41 | 48.10% |
| gdsgfg vs Yoshimitsu | 35–43 | 44.87% |
| gdsgfg vs Armor King | 31–44 | 41.33% |
| gdsgfg vs Claudio | 24–49 | 32.88% |
| gdsgfg vs Azucena | 45–28 | 61.64% |
| gdsgfg vs Xiaoyu | 27–38 | 41.54% |
| gdsgfg vs Fahkumram | 36–28 | 56.25% |
| gdsgfg vs Lee | 28–27 | 50.91% |
| gdsgfg vs Kuma | 16–38 | 29.63% |
| gdsgfg vs Jack-8 | 24–28 | 46.15% |
| gdsgfg vs Feng | 18–32 | 36.00% |
| gdsgfg vs Lars | 19–31 | 38.00% |
| gdsgfg vs Alisa | 18–32 | 36.00% |
| gdsgfg vs Leroy | 20–27 | 42.55% |
| gdsgfg vs Anna | 20–25 | 44.44% |
| gdsgfg vs Nina | 14–29 | 32.56% |
| gdsgfg vs Miary Zo | 21–18 | 53.85% |
| gdsgfg vs Leo | 13–25 | 34.21% |
| gdsgfg vs Lidia | 21–17 | 55.26% |
| gdsgfg vs Clive | 16–18 | 47.06% |
| gdsgfg vs Eddy | 13–18 | 41.94% |
| gdsgfg vs Shaheen | 9–12 | 42.86% |
| gdsgfg vs Zafina | 4–14 | 22.22% |
| gdsgfg vs Raven | 6–7 | 46.15% |
| gdsgfg vs Panda | 6–3 | 66.67% |
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.