| KyeoulGom vs Bryan | 106–69 | 60.57% |
| KyeoulGom vs Kazuya | 105–58 | 64.42% |
| KyeoulGom vs Hwoarang | 70–57 | 55.12% |
| KyeoulGom vs Asuka | 73–47 | 60.83% |
| KyeoulGom vs Dragunov | 50–52 | 49.02% |
| KyeoulGom vs King | 43–57 | 43.00% |
| KyeoulGom vs Reina | 45–49 | 47.87% |
| KyeoulGom vs Law | 54–37 | 59.34% |
| KyeoulGom vs Jin | 48–41 | 53.93% |
| KyeoulGom vs Steve | 37–47 | 44.05% |
| KyeoulGom vs Jack-8 | 40–40 | 50.00% |
| KyeoulGom vs Heihachi | 40–34 | 54.05% |
| KyeoulGom vs Paul | 39–30 | 56.52% |
| KyeoulGom vs Devil Jin | 39–26 | 60.00% |
| KyeoulGom vs Armor King | 26–39 | 40.00% |
| KyeoulGom vs Lee | 32–31 | 50.79% |
| KyeoulGom vs Victor | 29–32 | 47.54% |
| KyeoulGom vs Lidia | 30–31 | 49.18% |
| KyeoulGom vs Claudio | 30–30 | 50.00% |
| KyeoulGom vs Azucena | 28–30 | 48.28% |
| KyeoulGom vs Lars | 29–28 | 50.88% |
| KyeoulGom vs Leroy | 24–28 | 46.15% |
| KyeoulGom vs Anna | 28–23 | 54.90% |
| KyeoulGom vs Fahkumram | 29–21 | 58.00% |
| KyeoulGom vs Nina | 28–21 | 57.14% |
| KyeoulGom vs Leo | 19–29 | 39.58% |
| KyeoulGom vs Yoshimitsu | 22–25 | 46.81% |
| KyeoulGom vs Miary Zo | 21–26 | 44.68% |
| KyeoulGom vs Lili | 25–21 | 54.35% |
| KyeoulGom vs Jun | 25–20 | 55.56% |
| KyeoulGom vs Xiaoyu | 14–22 | 38.89% |
| KyeoulGom vs Feng | 21–15 | 58.33% |
| KyeoulGom vs Alisa | 12–22 | 35.29% |
| KyeoulGom vs Eddy | 18–15 | 54.55% |
| KyeoulGom vs Shaheen | 15–17 | 46.88% |
| KyeoulGom vs Clive | 14–15 | 48.28% |
| KyeoulGom vs Raven | 8–20 | 28.57% |
| KyeoulGom vs Kuma | 12–14 | 46.15% |
| KyeoulGom vs Panda | 10–10 | 50.00% |
| KyeoulGom vs Zafina | 7–13 | 35.00% |
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.