| 11사단 화랑 vs Jin | 46–74 | 38.33% |
| 11사단 화랑 vs Kazuya | 52–67 | 43.70% |
| 11사단 화랑 vs Reina | 54–49 | 52.43% |
| 11사단 화랑 vs King | 45–50 | 47.37% |
| 11사단 화랑 vs Dragunov | 30–59 | 33.71% |
| 11사단 화랑 vs Paul | 40–46 | 46.51% |
| 11사단 화랑 vs Steve | 39–47 | 45.35% |
| 11사단 화랑 vs Bryan | 35–50 | 41.18% |
| 11사단 화랑 vs Heihachi | 28–41 | 40.58% |
| 11사단 화랑 vs Hwoarang | 23–44 | 34.33% |
| 11사단 화랑 vs Law | 23–38 | 37.70% |
| 11사단 화랑 vs Alisa | 17–29 | 36.96% |
| 11사단 화랑 vs Clive | 22–23 | 48.89% |
| 11사단 화랑 vs Lili | 15–29 | 34.09% |
| 11사단 화랑 vs Victor | 20–24 | 45.45% |
| 11사단 화랑 vs Asuka | 20–21 | 48.78% |
| 11사단 화랑 vs Xiaoyu | 19–20 | 48.72% |
| 11사단 화랑 vs Yoshimitsu | 18–18 | 50.00% |
| 11사단 화랑 vs Kuma | 10–26 | 27.78% |
| 11사단 화랑 vs Lidia | 12–24 | 33.33% |
| 11사단 화랑 vs Devil Jin | 18–16 | 52.94% |
| 11사단 화랑 vs Feng | 10–21 | 32.26% |
| 11사단 화랑 vs Jun | 18–12 | 60.00% |
| 11사단 화랑 vs Lars | 11–17 | 39.29% |
| 11사단 화랑 vs Lee | 9–18 | 33.33% |
| 11사단 화랑 vs Claudio | 12–13 | 48.00% |
| 11사단 화랑 vs Azucena | 13–12 | 52.00% |
| 11사단 화랑 vs Anna | 11–14 | 44.00% |
| 11사단 화랑 vs Miary Zo | 12–13 | 48.00% |
| 11사단 화랑 vs Leroy | 11–13 | 45.83% |
| 11사단 화랑 vs Eddy | 6–16 | 27.27% |
| 11사단 화랑 vs Jack-8 | 6–15 | 28.57% |
| 11사단 화랑 vs Leo | 11–8 | 57.89% |
| 11사단 화랑 vs Nina | 9–10 | 47.37% |
| 11사단 화랑 vs Shaheen | 3–13 | 18.75% |
| 11사단 화랑 vs Raven | 6–5 | 54.55% |
| 11사단 화랑 vs Armor King | 5–5 | 50.00% |
| 11사단 화랑 vs Fahkumram | 4–4 | 50.00% |
| 11사단 화랑 vs Panda | 3–4 | 42.86% |
| 11사단 화랑 vs Zafina | 4–2 | 66.67% |
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.