| GomBaang vs Kazuya | 236–233 | 50.32% |
| GomBaang vs Bryan | 224–210 | 51.61% |
| GomBaang vs Hwoarang | 194–222 | 46.63% |
| GomBaang vs Dragunov | 178–219 | 44.84% |
| GomBaang vs King | 175–212 | 45.22% |
| GomBaang vs Paul | 145–222 | 39.51% |
| GomBaang vs Jin | 138–199 | 40.95% |
| GomBaang vs Reina | 181–153 | 54.19% |
| GomBaang vs Lili | 113–157 | 41.85% |
| GomBaang vs Yoshimitsu | 109–142 | 43.43% |
| GomBaang vs Steve | 91–153 | 37.30% |
| GomBaang vs Azucena | 128–113 | 53.11% |
| GomBaang vs Asuka | 125–115 | 52.08% |
| GomBaang vs Victor | 115–123 | 48.32% |
| GomBaang vs Law | 117–117 | 50.00% |
| GomBaang vs Devil Jin | 97–119 | 44.91% |
| GomBaang vs Feng | 100–115 | 46.51% |
| GomBaang vs Lars | 94–112 | 45.63% |
| GomBaang vs Jun | 100–105 | 48.78% |
| GomBaang vs Xiaoyu | 86–105 | 45.03% |
| GomBaang vs Heihachi | 95–85 | 52.78% |
| GomBaang vs Eddy | 82–86 | 48.81% |
| GomBaang vs Alisa | 73–94 | 43.71% |
| GomBaang vs Nina | 67–92 | 42.14% |
| GomBaang vs Lee | 61–97 | 38.61% |
| GomBaang vs Leo | 63–92 | 40.65% |
| GomBaang vs Jack-8 | 78–75 | 50.98% |
| GomBaang vs Claudio | 61–60 | 50.41% |
| GomBaang vs Leroy | 58–53 | 52.25% |
| GomBaang vs Raven | 36–74 | 32.73% |
| GomBaang vs Shaheen | 49–57 | 46.23% |
| GomBaang vs Lidia | 42–56 | 42.86% |
| GomBaang vs Fahkumram | 41–57 | 41.84% |
| GomBaang vs Zafina | 34–40 | 45.95% |
| GomBaang vs Kuma | 38–35 | 52.05% |
| GomBaang vs Clive | 23–25 | 47.92% |
| GomBaang vs Anna | 15–33 | 31.25% |
| GomBaang vs Panda | 17–25 | 40.48% |
| GomBaang vs Armor King | 8–10 | 44.44% |
| GomBaang vs Miary Zo | 9–5 | 64.29% |
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.