| GTAONEAL vs King | 31–49 | 38.75% |
| GTAONEAL vs Jin | 22–49 | 30.99% |
| GTAONEAL vs Kazuya | 24–35 | 40.68% |
| GTAONEAL vs Steve | 26–28 | 48.15% |
| GTAONEAL vs Fahkumram | 22–31 | 41.51% |
| GTAONEAL vs Law | 19–31 | 38.00% |
| GTAONEAL vs Dragunov | 27–17 | 61.36% |
| GTAONEAL vs Bryan | 12–31 | 27.91% |
| GTAONEAL vs Hwoarang | 16–26 | 38.10% |
| GTAONEAL vs Nina | 10–24 | 29.41% |
| GTAONEAL vs Armor King | 12–21 | 36.36% |
| GTAONEAL vs Paul | 7–22 | 24.14% |
| GTAONEAL vs Jun | 14–15 | 48.28% |
| GTAONEAL vs Asuka | 12–16 | 42.86% |
| GTAONEAL vs Yoshimitsu | 9–18 | 33.33% |
| GTAONEAL vs Xiaoyu | 13–12 | 52.00% |
| GTAONEAL vs Eddy | 7–18 | 28.00% |
| GTAONEAL vs Lars | 7–17 | 29.17% |
| GTAONEAL vs Azucena | 6–15 | 28.57% |
| GTAONEAL vs Lili | 11–9 | 55.00% |
| GTAONEAL vs Leroy | 5–14 | 26.32% |
| GTAONEAL vs Reina | 13–6 | 68.42% |
| GTAONEAL vs Clive | 6–12 | 33.33% |
| GTAONEAL vs Victor | 6–11 | 35.29% |
| GTAONEAL vs Heihachi | 5–12 | 29.41% |
| GTAONEAL vs Anna | 10–7 | 58.82% |
| GTAONEAL vs Feng | 7–9 | 43.75% |
| GTAONEAL vs Lee | 7–9 | 43.75% |
| GTAONEAL vs Alisa | 6–9 | 40.00% |
| GTAONEAL vs Lidia | 7–8 | 46.67% |
| GTAONEAL vs Miary Zo | 3–12 | 20.00% |
| GTAONEAL vs Leo | 3–11 | 21.43% |
| GTAONEAL vs Devil Jin | 4–9 | 30.77% |
| GTAONEAL vs Claudio | 3–8 | 27.27% |
| GTAONEAL vs Kuma | 3–8 | 27.27% |
| GTAONEAL vs Zafina | 3–7 | 30.00% |
| GTAONEAL vs Raven | 4–3 | 57.14% |
| GTAONEAL vs Jack-8 | 4–2 | 66.67% |
| GTAONEAL vs Shaheen | 3–1 | 75.00% |
| GTAONEAL vs Panda | 0–1 | 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.