| deungsha vs Hwoarang | 189–156–1 | 54.78% |
| deungsha vs Dragunov | 162–181 | 47.23% |
| deungsha vs Bryan | 166–140 | 54.25% |
| deungsha vs Kazuya | 159–124 | 56.18% |
| deungsha vs Paul | 111–153 | 42.05% |
| deungsha vs King | 139–121 | 53.46% |
| deungsha vs Jin | 121–121 | 50.00% |
| deungsha vs Reina | 118–106 | 52.68% |
| deungsha vs Yoshimitsu | 113–95 | 54.33% |
| deungsha vs Law | 107–95 | 52.97% |
| deungsha vs Lili | 104–83–1 | 55.61% |
| deungsha vs Victor | 99–87 | 53.23% |
| deungsha vs Steve | 68–116 | 36.96% |
| deungsha vs Asuka | 74–100 | 42.53% |
| deungsha vs Nina | 88–85 | 50.87% |
| deungsha vs Feng | 74–93 | 44.31% |
| deungsha vs Alisa | 71–94 | 43.03% |
| deungsha vs Devil Jin | 61–99 | 38.12% |
| deungsha vs Lars | 78–79 | 49.68% |
| deungsha vs Azucena | 75–70 | 51.72% |
| deungsha vs Jun | 57–79 | 41.91% |
| deungsha vs Eddy | 56–75 | 42.75% |
| deungsha vs Lee | 65–63 | 50.78% |
| deungsha vs Jack-8 | 43–80 | 34.96% |
| deungsha vs Leo | 56–65 | 46.28% |
| deungsha vs Xiaoyu | 59–59 | 50.00% |
| deungsha vs Claudio | 39–70 | 35.78% |
| deungsha vs Leroy | 63–36–2 | 63.64% |
| deungsha vs Heihachi | 48–46 | 51.06% |
| deungsha vs Clive | 40–52 | 43.48% |
| deungsha vs Kuma | 38–50 | 43.18% |
| deungsha vs Shaheen | 38–39 | 49.35% |
| deungsha vs Lidia | 36–34 | 51.43% |
| deungsha vs Fahkumram | 29–40 | 42.03% |
| deungsha vs Raven | 31–36 | 46.27% |
| deungsha vs Zafina | 17–29 | 36.96% |
| deungsha vs Panda | 10–20 | 33.33% |
| deungsha vs Anna | 7–18 | 28.00% |
| deungsha vs Armor King | 2–2 | 50.00% |
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.