Name history
| bbbb | |
| 백두산돌려내라 | |
| 서울대중사우나때밀이폐관생 | |
| BringBeakBack | |
| 서울대중사우나때밀이마스터 | |
| 블러드깔롱 | |
| 오골계의초스카이 | |
| 뉴욕곰탕알바생 | |
| sbqltkffu | |
| 뉴비살려 | |
| vhzkclq |
| bbbb vs Kazuya | 91–117–1 | 43.75% |
| bbbb vs Hwoarang | 110–85 | 56.41% |
| bbbb vs Bryan | 85–104 | 44.97% |
| bbbb vs Reina | 84–98–1 | 46.15% |
| bbbb vs Paul | 67–100 | 40.12% |
| bbbb vs King | 56–111 | 33.53% |
| bbbb vs Dragunov | 76–91 | 45.51% |
| bbbb vs Jin | 54–85 | 38.85% |
| bbbb vs Lili | 39–94 | 29.32% |
| bbbb vs Steve | 48–74–1 | 39.34% |
| bbbb vs Victor | 32–66 | 32.65% |
| bbbb vs Asuka | 31–59 | 34.44% |
| bbbb vs Devil Jin | 26–56 | 31.71% |
| bbbb vs Yoshimitsu | 37–43 | 46.25% |
| bbbb vs Jun | 36–39 | 48.00% |
| bbbb vs Azucena | 38–36 | 51.35% |
| bbbb vs Law | 33–39 | 45.83% |
| bbbb vs Xiaoyu | 33–37 | 47.14% |
| bbbb vs Lee | 28–42 | 40.00% |
| bbbb vs Armor King | 28–39 | 41.79% |
| bbbb vs Alisa | 25–39 | 39.06% |
| bbbb vs Fahkumram | 28–36 | 43.75% |
| bbbb vs Nina | 23–38 | 37.70% |
| bbbb vs Heihachi | 29–27 | 51.79% |
| bbbb vs Eddy | 11–41 | 21.15% |
| bbbb vs Jack-8 | 18–26 | 40.91% |
| bbbb vs Feng | 9–35 | 20.45% |
| bbbb vs Claudio | 20–22 | 47.62% |
| bbbb vs Leo | 19–20 | 48.72% |
| bbbb vs Leroy | 13–24 | 35.14% |
| bbbb vs Lars | 15–21 | 41.67% |
| bbbb vs Raven | 19–17 | 52.78% |
| bbbb vs Lidia | 15–18 | 45.45% |
| bbbb vs Clive | 10–23 | 30.30% |
| bbbb vs Shaheen | 10–13 | 43.48% |
| bbbb vs Miary Zo | 5–18 | 21.74% |
| bbbb vs Panda | 5–17 | 22.73% |
| bbbb vs Zafina | 7–11 | 38.89% |
| bbbb vs Anna | 4–10 | 28.57% |
| bbbb vs Kuma | 4–9 | 30.77% |
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.