| AhiaGaia vs Jin | 44–58 | 43.14% |
| AhiaGaia vs King | 44–54 | 44.90% |
| AhiaGaia vs Kazuya | 33–53 | 38.37% |
| AhiaGaia vs Reina | 34–48 | 41.46% |
| AhiaGaia vs Bryan | 35–39 | 47.30% |
| AhiaGaia vs Hwoarang | 16–47 | 25.40% |
| AhiaGaia vs Dragunov | 23–37 | 38.33% |
| AhiaGaia vs Law | 21–32 | 39.62% |
| AhiaGaia vs Steve | 16–30 | 34.78% |
| AhiaGaia vs Heihachi | 15–29 | 34.09% |
| AhiaGaia vs Asuka | 17–20 | 45.95% |
| AhiaGaia vs Lidia | 9–25 | 26.47% |
| AhiaGaia vs Lili | 9–22 | 29.03% |
| AhiaGaia vs Jun | 14–17 | 45.16% |
| AhiaGaia vs Yoshimitsu | 16–13 | 55.17% |
| AhiaGaia vs Devil Jin | 9–20 | 31.03% |
| AhiaGaia vs Victor | 10–19 | 34.48% |
| AhiaGaia vs Eddy | 18–11 | 62.07% |
| AhiaGaia vs Paul | 10–18 | 35.71% |
| AhiaGaia vs Xiaoyu | 12–15 | 44.44% |
| AhiaGaia vs Azucena | 17–10 | 62.96% |
| AhiaGaia vs Feng | 12–13 | 48.00% |
| AhiaGaia vs Nina | 14–11 | 56.00% |
| AhiaGaia vs Claudio | 6–16 | 27.27% |
| AhiaGaia vs Lee | 7–15 | 31.82% |
| AhiaGaia vs Armor King | 9–13 | 40.91% |
| AhiaGaia vs Lars | 10–6 | 62.50% |
| AhiaGaia vs Alisa | 5–11 | 31.25% |
| AhiaGaia vs Clive | 10–6 | 62.50% |
| AhiaGaia vs Leo | 5–10 | 33.33% |
| AhiaGaia vs Anna | 5–10 | 33.33% |
| AhiaGaia vs Fahkumram | 3–12 | 20.00% |
| AhiaGaia vs Miary Zo | 7–6 | 53.85% |
| AhiaGaia vs Zafina | 3–9 | 25.00% |
| AhiaGaia vs Raven | 7–5 | 58.33% |
| AhiaGaia vs Jack-8 | 5–5 | 50.00% |
| AhiaGaia vs Panda | 7–3 | 70.00% |
| AhiaGaia vs Shaheen | 5–4 | 55.56% |
| AhiaGaia vs Leroy | 3–6 | 33.33% |
| AhiaGaia vs Kuma | 1–5 | 16.67% |
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.