| Gb_Héros vs Jin | 54–48 | 52.94% |
| Gb_Héros vs Hwoarang | 52–37 | 58.43% |
| Gb_Héros vs Kazuya | 38–48 | 44.19% |
| Gb_Héros vs King | 44–41 | 51.76% |
| Gb_Héros vs Bryan | 28–43 | 39.44% |
| Gb_Héros vs Paul | 23–27 | 46.00% |
| Gb_Héros vs Steve | 24–24 | 50.00% |
| Gb_Héros vs Clive | 26–18 | 59.09% |
| Gb_Héros vs Law | 19–24 | 44.19% |
| Gb_Héros vs Dragunov | 23–20 | 53.49% |
| Gb_Héros vs Heihachi | 17–26 | 39.53% |
| Gb_Héros vs Eddy | 25–17 | 59.52% |
| Gb_Héros vs Yoshimitsu | 23–18 | 56.10% |
| Gb_Héros vs Lili | 19–22 | 46.34% |
| Gb_Héros vs Reina | 16–23 | 41.03% |
| Gb_Héros vs Fahkumram | 12–21 | 36.36% |
| Gb_Héros vs Azucena | 20–12 | 62.50% |
| Gb_Héros vs Asuka | 16–15 | 51.61% |
| Gb_Héros vs Lee | 12–17 | 41.38% |
| Gb_Héros vs Jun | 20–9 | 68.97% |
| Gb_Héros vs Feng | 13–13 | 50.00% |
| Gb_Héros vs Jack-8 | 10–14 | 41.67% |
| Gb_Héros vs Nina | 8–14 | 36.36% |
| Gb_Héros vs Alisa | 11–10 | 52.38% |
| Gb_Héros vs Leroy | 9–12 | 42.86% |
| Gb_Héros vs Armor King | 10–11 | 47.62% |
| Gb_Héros vs Lars | 9–9 | 50.00% |
| Gb_Héros vs Anna | 12–6 | 66.67% |
| Gb_Héros vs Devil Jin | 12–5 | 70.59% |
| Gb_Héros vs Lidia | 6–9 | 40.00% |
| Gb_Héros vs Xiaoyu | 3–11 | 21.43% |
| Gb_Héros vs Victor | 8–6 | 57.14% |
| Gb_Héros vs Leo | 5–8 | 38.46% |
| Gb_Héros vs Shaheen | 8–2 | 80.00% |
| Gb_Héros vs Raven | 7–2 | 77.78% |
| Gb_Héros vs Claudio | 1–7 | 12.50% |
| Gb_Héros vs Kuma | 3–4 | 42.86% |
| Gb_Héros vs Panda | 3–4 | 42.86% |
| Gb_Héros vs Zafina | 3–2 | 60.00% |
| Gb_Héros vs Miary Zo | 4–1 | 80.00% |
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.