| Guloya vs King | 378–448 | 45.76% |
| Guloya vs Kazuya | 351–373 | 48.48% |
| Guloya vs Jin | 344–347 | 49.78% |
| Guloya vs Bryan | 348–342 | 50.43% |
| Guloya vs Reina | 330–330 | 50.00% |
| Guloya vs Steve | 276–272 | 50.36% |
| Guloya vs Hwoarang | 237–301 | 44.05% |
| Guloya vs Law | 221–291 | 43.16% |
| Guloya vs Lili | 244–251 | 49.29% |
| Guloya vs Yoshimitsu | 209–257 | 44.85% |
| Guloya vs Dragunov | 211–248 | 45.97% |
| Guloya vs Paul | 219–236–1 | 48.13% |
| Guloya vs Xiaoyu | 171–213 | 44.53% |
| Guloya vs Lee | 197–186 | 51.44% |
| Guloya vs Azucena | 173–192 | 47.40% |
| Guloya vs Lars | 159–192 | 45.30% |
| Guloya vs Jun | 150–170 | 46.88% |
| Guloya vs Nina | 127–189 | 40.19% |
| Guloya vs Asuka | 165–142 | 53.75% |
| Guloya vs Feng | 138–168 | 45.10% |
| Guloya vs Leo | 151–154 | 49.51% |
| Guloya vs Eddy | 141–160 | 46.84% |
| Guloya vs Victor | 122–158 | 43.57% |
| Guloya vs Raven | 111–162 | 40.66% |
| Guloya vs Devil Jin | 113–151 | 42.80% |
| Guloya vs Alisa | 110–137 | 44.53% |
| Guloya vs Heihachi | 89–100 | 47.09% |
| Guloya vs Jack-8 | 84–88 | 48.84% |
| Guloya vs Leroy | 69–103 | 40.12% |
| Guloya vs Claudio | 72–84 | 46.15% |
| Guloya vs Zafina | 69–59 | 53.91% |
| Guloya vs Shaheen | 53–65 | 44.92% |
| Guloya vs Kuma | 39–76 | 33.91% |
| Guloya vs Clive | 42–68 | 38.18% |
| Guloya vs Lidia | 47–49 | 48.96% |
| Guloya vs Anna | 26–27 | 49.06% |
| Guloya vs Panda | 12–26 | 31.58% |
| Guloya vs Fahkumram | 6–15 | 28.57% |
| Guloya vs Armor King | 3–14 | 17.65% |
| Guloya vs Miary Zo | 1–1 | 50.00% |
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.