| GGs_Beamen vs King | 184–206 | 47.18% |
| GGs_Beamen vs Kazuya | 133–134 | 49.81% |
| GGs_Beamen vs Jin | 112–145 | 43.58% |
| GGs_Beamen vs Law | 123–133 | 48.05% |
| GGs_Beamen vs Hwoarang | 105–139 | 43.03% |
| GGs_Beamen vs Eddy | 84–136 | 38.18% |
| GGs_Beamen vs Reina | 93–123 | 43.06% |
| GGs_Beamen vs Steve | 88–122 | 41.90% |
| GGs_Beamen vs Bryan | 94–111 | 45.85% |
| GGs_Beamen vs Lili | 72–98 | 42.35% |
| GGs_Beamen vs Dragunov | 68–100 | 40.48% |
| GGs_Beamen vs Jun | 62–96 | 39.24% |
| GGs_Beamen vs Victor | 59–92 | 39.07% |
| GGs_Beamen vs Xiaoyu | 44–67 | 39.64% |
| GGs_Beamen vs Paul | 46–60 | 43.40% |
| GGs_Beamen vs Yoshimitsu | 37–69 | 34.91% |
| GGs_Beamen vs Azucena | 48–58 | 45.28% |
| GGs_Beamen vs Asuka | 38–61 | 38.38% |
| GGs_Beamen vs Lee | 41–49 | 45.56% |
| GGs_Beamen vs Lars | 35–54 | 39.33% |
| GGs_Beamen vs Feng | 46–42 | 52.27% |
| GGs_Beamen vs Nina | 32–55 | 36.78% |
| GGs_Beamen vs Devil Jin | 34–51 | 40.00% |
| GGs_Beamen vs Leroy | 29–41 | 41.43% |
| GGs_Beamen vs Lidia | 27–41 | 39.71% |
| GGs_Beamen vs Jack-8 | 20–36 | 35.71% |
| GGs_Beamen vs Leo | 28–28 | 50.00% |
| GGs_Beamen vs Alisa | 23–33 | 41.07% |
| GGs_Beamen vs Raven | 18–30 | 37.50% |
| GGs_Beamen vs Fahkumram | 14–31 | 31.11% |
| GGs_Beamen vs Heihachi | 13–27 | 32.50% |
| GGs_Beamen vs Kuma | 20–17 | 54.05% |
| GGs_Beamen vs Clive | 15–21 | 41.67% |
| GGs_Beamen vs Anna | 12–21 | 36.36% |
| GGs_Beamen vs Zafina | 18–12 | 60.00% |
| GGs_Beamen vs Armor King | 11–19 | 36.67% |
| GGs_Beamen vs Claudio | 14–15 | 48.28% |
| GGs_Beamen vs Panda | 9–12 | 42.86% |
| GGs_Beamen vs Shaheen | 6–12 | 33.33% |
| GGs_Beamen vs Miary Zo | 5–9 | 35.71% |
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.