Name history
| gdss | |
| Amaori. | |
| Amaterasu | |
| Yuui | |
| YuuruiShouto | |
| Try'n gain | |
| try'n gain | |
| tryfzz |
| gdss vs King | 73–116 | 38.62% |
| gdss vs Jin | 43–103 | 29.45% |
| gdss vs Kazuya | 32–80 | 28.57% |
| gdss vs Lili | 43–56 | 43.43% |
| gdss vs Steve | 31–51 | 37.80% |
| gdss vs Dragunov | 29–51 | 36.25% |
| gdss vs Bryan | 29–45 | 39.19% |
| gdss vs Law | 35–33 | 51.47% |
| gdss vs Heihachi | 21–43 | 32.81% |
| gdss vs Reina | 19–42 | 31.15% |
| gdss vs Fahkumram | 17–41 | 29.31% |
| gdss vs Eddy | 15–42 | 26.32% |
| gdss vs Asuka | 26–28 | 48.15% |
| gdss vs Armor King | 20–34 | 37.04% |
| gdss vs Jun | 19–30 | 38.78% |
| gdss vs Yoshimitsu | 16–32 | 33.33% |
| gdss vs Hwoarang | 6–40 | 13.04% |
| gdss vs Azucena | 19–25 | 43.18% |
| gdss vs Paul | 15–22 | 40.54% |
| gdss vs Nina | 8–23 | 25.81% |
| gdss vs Lars | 12–18 | 40.00% |
| gdss vs Alisa | 7–22 | 24.14% |
| gdss vs Leroy | 7–22 | 24.14% |
| gdss vs Lidia | 8–21 | 27.59% |
| gdss vs Zafina | 11–17 | 39.29% |
| gdss vs Feng | 9–18 | 33.33% |
| gdss vs Leo | 9–18 | 33.33% |
| gdss vs Lee | 9–18 | 33.33% |
| gdss vs Raven | 9–18 | 33.33% |
| gdss vs Victor | 11–15 | 42.31% |
| gdss vs Clive | 8–18 | 30.77% |
| gdss vs Devil Jin | 4–19 | 17.39% |
| gdss vs Xiaoyu | 4–18 | 18.18% |
| gdss vs Anna | 2–14 | 12.50% |
| gdss vs Claudio | 3–12 | 20.00% |
| gdss vs Shaheen | 4–8 | 33.33% |
| gdss vs Jack-8 | 1–10 | 9.09% |
| gdss vs Kuma | 4–5 | 44.44% |
| gdss vs Panda | 2–7 | 22.22% |
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.