| ganghoya vs Kazuya | 38–44 | 46.34% |
| ganghoya vs Dragunov | 39–41 | 48.75% |
| ganghoya vs Jin | 32–35 | 47.76% |
| ganghoya vs Reina | 35–29 | 54.69% |
| ganghoya vs Paul | 19–27 | 41.30% |
| ganghoya vs Asuka | 21–22 | 48.84% |
| ganghoya vs Lidia | 19–24 | 44.19% |
| ganghoya vs King | 18–20 | 47.37% |
| ganghoya vs Hwoarang | 17–19 | 47.22% |
| ganghoya vs Lili | 23–13 | 63.89% |
| ganghoya vs Bryan | 17–17 | 50.00% |
| ganghoya vs Law | 11–22 | 33.33% |
| ganghoya vs Victor | 17–16 | 51.52% |
| ganghoya vs Lee | 17–14 | 54.84% |
| ganghoya vs Leo | 11–16 | 40.74% |
| ganghoya vs Devil Jin | 12–12 | 50.00% |
| ganghoya vs Feng | 6–17 | 26.09% |
| ganghoya vs Alisa | 9–14 | 39.13% |
| ganghoya vs Nina | 11–12 | 47.83% |
| ganghoya vs Steve | 9–12 | 42.86% |
| ganghoya vs Azucena | 13–8 | 61.90% |
| ganghoya vs Claudio | 8–10 | 44.44% |
| ganghoya vs Jun | 9–9 | 50.00% |
| ganghoya vs Raven | 6–8 | 42.86% |
| ganghoya vs Jack-8 | 5–8 | 38.46% |
| ganghoya vs Xiaoyu | 7–4 | 63.64% |
| ganghoya vs Yoshimitsu | 3–7 | 30.00% |
| ganghoya vs Kuma | 6–4 | 60.00% |
| ganghoya vs Lars | 6–3 | 66.67% |
| ganghoya vs Leroy | 5–3 | 62.50% |
| ganghoya vs Eddy | 3–4 | 42.86% |
| ganghoya vs Heihachi | 3–4 | 42.86% |
| ganghoya vs Clive | 4–3 | 57.14% |
| ganghoya vs Miary Zo | 4–2 | 66.67% |
| ganghoya vs Shaheen | 2–3 | 40.00% |
| ganghoya vs Zafina | 2–2 | 50.00% |
| ganghoya vs Fahkumram | 1–2 | 33.33% |
| ganghoya vs Panda | 0–2 | 0.00% |
| ganghoya vs Anna | 0–2 | 0.00% |
| ganghoya vs Armor King | 0–2 | 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.