| ggyutang vs Kazuya | 33–15 | 68.75% |
| ggyutang vs Dragunov | 13–27 | 32.50% |
| ggyutang vs Bryan | 20–13 | 60.61% |
| ggyutang vs Paul | 20–12 | 62.50% |
| ggyutang vs Hwoarang | 16–13 | 55.17% |
| ggyutang vs Jin | 13–16 | 44.83% |
| ggyutang vs Steve | 15–12 | 55.56% |
| ggyutang vs Azucena | 11–10 | 52.38% |
| ggyutang vs Reina | 11–9 | 55.00% |
| ggyutang vs King | 11–8 | 57.89% |
| ggyutang vs Asuka | 5–14 | 26.32% |
| ggyutang vs Lili | 10–8 | 55.56% |
| ggyutang vs Zafina | 6–12 | 33.33% |
| ggyutang vs Shaheen | 9–8 | 52.94% |
| ggyutang vs Law | 6–10 | 37.50% |
| ggyutang vs Feng | 5–10 | 33.33% |
| ggyutang vs Alisa | 12–3 | 80.00% |
| ggyutang vs Yoshimitsu | 11–3 | 78.57% |
| ggyutang vs Leo | 4–9 | 30.77% |
| ggyutang vs Eddy | 5–8 | 38.46% |
| ggyutang vs Xiaoyu | 5–6 | 45.45% |
| ggyutang vs Lee | 3–8 | 27.27% |
| ggyutang vs Nina | 4–5 | 44.44% |
| ggyutang vs Kuma | 7–2 | 77.78% |
| ggyutang vs Victor | 5–4 | 55.56% |
| ggyutang vs Claudio | 3–5 | 37.50% |
| ggyutang vs Jun | 5–3 | 62.50% |
| ggyutang vs Armor King | 4–4 | 50.00% |
| ggyutang vs Jack-8 | 4–2 | 66.67% |
| ggyutang vs Devil Jin | 2–4 | 33.33% |
| ggyutang vs Fahkumram | 4–2 | 66.67% |
| ggyutang vs Lidia | 4–1 | 80.00% |
| ggyutang vs Raven | 2–2 | 50.00% |
| ggyutang vs Miary Zo | 1–3 | 25.00% |
| ggyutang vs Panda | 2–1 | 66.67% |
| ggyutang vs Leroy | 2–1 | 66.67% |
| ggyutang vs Clive | 1–2 | 33.33% |
| ggyutang vs Lars | 2–0 | 100.00% |
| ggyutang vs Heihachi | 1–0 | 100.00% |
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.