| GlooGloo vs Jin | 260–207 | 55.67% |
| GlooGloo vs Kazuya | 263–204 | 56.32% |
| GlooGloo vs King | 245–209 | 53.96% |
| GlooGloo vs Hwoarang | 226–158 | 58.85% |
| GlooGloo vs Bryan | 203–178 | 53.28% |
| GlooGloo vs Yoshimitsu | 151–157–2 | 49.03% |
| GlooGloo vs Paul | 182–124–1 | 59.48% |
| GlooGloo vs Law | 165–137 | 54.64% |
| GlooGloo vs Lee | 157–143 | 52.33% |
| GlooGloo vs Steve | 138–148 | 48.25% |
| GlooGloo vs Lars | 155–116 | 57.20% |
| GlooGloo vs Dragunov | 135–132 | 50.56% |
| GlooGloo vs Devil Jin | 120–129 | 48.19% |
| GlooGloo vs Reina | 126–116 | 52.07% |
| GlooGloo vs Lili | 100–132 | 43.10% |
| GlooGloo vs Asuka | 138–89 | 60.79% |
| GlooGloo vs Eddy | 134–80 | 62.62% |
| GlooGloo vs Heihachi | 101–97 | 51.01% |
| GlooGloo vs Alisa | 86–104 | 45.26% |
| GlooGloo vs Feng | 103–85 | 54.79% |
| GlooGloo vs Victor | 104–74 | 58.43% |
| GlooGloo vs Jun | 80–97 | 45.20% |
| GlooGloo vs Azucena | 82–90 | 47.67% |
| GlooGloo vs Raven | 93–76 | 55.03% |
| GlooGloo vs Xiaoyu | 85–83 | 50.60% |
| GlooGloo vs Nina | 70–90–1 | 43.75% |
| GlooGloo vs Jack-8 | 87–67 | 56.49% |
| GlooGloo vs Armor King | 65–87 | 42.76% |
| GlooGloo vs Zafina | 95–55 | 63.33% |
| GlooGloo vs Leroy | 74–62 | 54.41% |
| GlooGloo vs Fahkumram | 64–71 | 47.41% |
| GlooGloo vs Anna | 60–73 | 45.11% |
| GlooGloo vs Claudio | 55–70 | 44.00% |
| GlooGloo vs Kuma | 80–45 | 64.00% |
| GlooGloo vs Leo | 60–62 | 49.18% |
| GlooGloo vs Lidia | 39–58 | 40.21% |
| GlooGloo vs Clive | 43–49 | 46.74% |
| GlooGloo vs Miary Zo | 39–36 | 52.00% |
| GlooGloo vs Shaheen | 38–32 | 54.29% |
| GlooGloo vs Panda | 43–27 | 61.43% |
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.