| GBryanT vs Jin | 142–161 | 46.86% |
| GBryanT vs Dragunov | 145–149 | 49.32% |
| GBryanT vs Kazuya | 124–169 | 42.32% |
| GBryanT vs King | 105–156 | 40.23% |
| GBryanT vs Paul | 94–150 | 38.52% |
| GBryanT vs Bryan | 87–128 | 40.47% |
| GBryanT vs Lili | 92–106 | 46.46% |
| GBryanT vs Reina | 100–93 | 51.81% |
| GBryanT vs Steve | 80–110 | 42.11% |
| GBryanT vs Hwoarang | 71–117 | 37.77% |
| GBryanT vs Law | 91–94 | 49.19% |
| GBryanT vs Yoshimitsu | 63–91 | 40.91% |
| GBryanT vs Clive | 51–86 | 37.23% |
| GBryanT vs Devil Jin | 40–93 | 30.08% |
| GBryanT vs Victor | 46–84 | 35.38% |
| GBryanT vs Jun | 56–63 | 47.06% |
| GBryanT vs Heihachi | 49–68 | 41.88% |
| GBryanT vs Lars | 48–67 | 41.74% |
| GBryanT vs Alisa | 45–63 | 41.67% |
| GBryanT vs Feng | 27–79 | 25.47% |
| GBryanT vs Xiaoyu | 48–57 | 45.71% |
| GBryanT vs Asuka | 49–51 | 49.00% |
| GBryanT vs Nina | 44–53 | 45.36% |
| GBryanT vs Azucena | 44–46 | 48.89% |
| GBryanT vs Lee | 27–50 | 35.06% |
| GBryanT vs Eddy | 26–47 | 35.62% |
| GBryanT vs Lidia | 29–37 | 43.94% |
| GBryanT vs Leo | 35–27 | 56.45% |
| GBryanT vs Shaheen | 21–29 | 42.00% |
| GBryanT vs Claudio | 20–28 | 41.67% |
| GBryanT vs Kuma | 18–29 | 38.30% |
| GBryanT vs Fahkumram | 21–26 | 44.68% |
| GBryanT vs Leroy | 23–23 | 50.00% |
| GBryanT vs Jack-8 | 15–24 | 38.46% |
| GBryanT vs Zafina | 13–23 | 36.11% |
| GBryanT vs Raven | 13–22 | 37.14% |
| GBryanT vs Anna | 16–12 | 57.14% |
| GBryanT vs Armor King | 13–14 | 48.15% |
| GBryanT vs Miary Zo | 6–6 | 50.00% |
| GBryanT vs Panda | 0–4 | 0.00% |
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.