| Geum_Bok2077 vs Kazuya | 148–40 | 78.72% |
| Geum_Bok2077 vs Bryan | 127–49 | 72.16% |
| Geum_Bok2077 vs Heihachi | 93–65 | 58.86% |
| Geum_Bok2077 vs Paul | 117–35 | 76.97% |
| Geum_Bok2077 vs Dragunov | 108–38 | 73.97% |
| Geum_Bok2077 vs Reina | 106–16 | 86.89% |
| Geum_Bok2077 vs Jin | 73–31 | 70.19% |
| Geum_Bok2077 vs Lili | 81–15 | 84.38% |
| Geum_Bok2077 vs King | 68–24 | 73.91% |
| Geum_Bok2077 vs Lidia | 70–22 | 76.09% |
| Geum_Bok2077 vs Victor | 63–26 | 70.79% |
| Geum_Bok2077 vs Steve | 75–13 | 85.23% |
| Geum_Bok2077 vs Law | 58–19 | 75.32% |
| Geum_Bok2077 vs Asuka | 56–19 | 74.67% |
| Geum_Bok2077 vs Feng | 54–21 | 72.00% |
| Geum_Bok2077 vs Hwoarang | 59–14 | 80.82% |
| Geum_Bok2077 vs Jun | 63–10 | 86.30% |
| Geum_Bok2077 vs Yoshimitsu | 54–18 | 75.00% |
| Geum_Bok2077 vs Claudio | 47–25 | 65.28% |
| Geum_Bok2077 vs Devil Jin | 39–31 | 55.71% |
| Geum_Bok2077 vs Leroy | 56–13 | 81.16% |
| Geum_Bok2077 vs Azucena | 51–14 | 78.46% |
| Geum_Bok2077 vs Alisa | 51–13 | 79.69% |
| Geum_Bok2077 vs Clive | 41–17 | 70.69% |
| Geum_Bok2077 vs Nina | 48–9 | 84.21% |
| Geum_Bok2077 vs Lee | 35–19 | 64.81% |
| Geum_Bok2077 vs Lars | 30–23 | 56.60% |
| Geum_Bok2077 vs Jack-8 | 34–17 | 66.67% |
| Geum_Bok2077 vs Leo | 36–10 | 78.26% |
| Geum_Bok2077 vs Shaheen | 22–18 | 55.00% |
| Geum_Bok2077 vs Kuma | 24–8 | 75.00% |
| Geum_Bok2077 vs Xiaoyu | 19–11 | 63.33% |
| Geum_Bok2077 vs Zafina | 22–5 | 81.48% |
| Geum_Bok2077 vs Eddy | 11–12 | 47.83% |
| Geum_Bok2077 vs Raven | 15–5 | 75.00% |
| Geum_Bok2077 vs Panda | 13–3 | 81.25% |
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.