| GSKing vs Hwoarang | 488–426 | 53.39% |
| GSKing vs Jin | 399–501 | 44.33% |
| GSKing vs Kazuya | 388–442 | 46.75% |
| GSKing vs King | 356–385 | 48.04% |
| GSKing vs Bryan | 346–379 | 47.72% |
| GSKing vs Law | 298–290 | 50.68% |
| GSKing vs Paul | 306–254 | 54.64% |
| GSKing vs Steve | 271–235 | 53.56% |
| GSKing vs Heihachi | 208–281 | 42.54% |
| GSKing vs Yoshimitsu | 237–242 | 49.48% |
| GSKing vs Lili | 214–220 | 49.31% |
| GSKing vs Dragunov | 201–223 | 47.41% |
| GSKing vs Devil Jin | 217–202 | 51.79% |
| GSKing vs Reina | 194–183 | 51.46% |
| GSKing vs Lee | 172–182 | 48.59% |
| GSKing vs Lars | 149–183 | 44.88% |
| GSKing vs Asuka | 157–162 | 49.22% |
| GSKing vs Feng | 146–154 | 48.67% |
| GSKing vs Xiaoyu | 113–178 | 38.83% |
| GSKing vs Alisa | 138–143 | 49.11% |
| GSKing vs Eddy | 124–147 | 45.76% |
| GSKing vs Jun | 154–116 | 57.04% |
| GSKing vs Nina | 117–136 | 46.25% |
| GSKing vs Azucena | 116–133 | 46.59% |
| GSKing vs Fahkumram | 102–130 | 43.97% |
| GSKing vs Armor King | 101–126 | 44.49% |
| GSKing vs Anna | 107–113 | 48.64% |
| GSKing vs Leo | 101–118 | 46.12% |
| GSKing vs Raven | 104–107 | 49.29% |
| GSKing vs Victor | 97–104 | 48.26% |
| GSKing vs Clive | 90–111 | 44.78% |
| GSKing vs Lidia | 90–110 | 45.00% |
| GSKing vs Jack-8 | 97–88 | 52.43% |
| GSKing vs Claudio | 82–97 | 45.81% |
| GSKing vs Leroy | 82–90 | 47.67% |
| GSKing vs Kuma | 44–83 | 34.65% |
| GSKing vs Zafina | 65–58 | 52.85% |
| GSKing vs Shaheen | 49–46 | 51.58% |
| GSKing vs Miary Zo | 43–52 | 45.26% |
| GSKing vs Panda | 11–22 | 33.33% |
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.