Name history
| abcd | |
| 광견진 철권9에서 만나보자 | |
| 짝퉁150 | |
| 짝퉁이150 | |
| beterang | |
| 악질화랑 | |
| 장난치나&* | |
| leehuyou | |
| 이허유임 |
| abcd vs Hwoarang | 53–57 | 48.18% |
| abcd vs Bryan | 59–44 | 57.28% |
| abcd vs Armor King | 42–46 | 47.73% |
| abcd vs Kazuya | 41–37 | 52.56% |
| abcd vs Paul | 36–38 | 48.65% |
| abcd vs King | 29–28 | 50.88% |
| abcd vs Lili | 20–35 | 36.36% |
| abcd vs Law | 22–32 | 40.74% |
| abcd vs Jin | 19–29 | 39.58% |
| abcd vs Reina | 28–20 | 58.33% |
| abcd vs Steve | 20–25 | 44.44% |
| abcd vs Dragunov | 27–17 | 61.36% |
| abcd vs Heihachi | 26–18 | 59.09% |
| abcd vs Fahkumram | 20–19 | 51.28% |
| abcd vs Asuka | 20–18 | 52.63% |
| abcd vs Yoshimitsu | 16–19 | 45.71% |
| abcd vs Claudio | 24–9 | 72.73% |
| abcd vs Anna | 17–16 | 51.52% |
| abcd vs Feng | 16–16 | 50.00% |
| abcd vs Lars | 15–17 | 46.88% |
| abcd vs Nina | 22–9 | 70.97% |
| abcd vs Lee | 18–13 | 58.06% |
| abcd vs Miary Zo | 16–12 | 57.14% |
| abcd vs Xiaoyu | 17–10 | 62.96% |
| abcd vs Alisa | 16–11 | 59.26% |
| abcd vs Azucena | 7–19 | 26.92% |
| abcd vs Eddy | 10–16 | 38.46% |
| abcd vs Leo | 17–7 | 70.83% |
| abcd vs Lidia | 13–11 | 54.17% |
| abcd vs Leroy | 10–13 | 43.48% |
| abcd vs Clive | 6–17 | 26.09% |
| abcd vs Jun | 14–8 | 63.64% |
| abcd vs Victor | 9–13 | 40.91% |
| abcd vs Jack-8 | 9–9 | 50.00% |
| abcd vs Devil Jin | 7–11 | 38.89% |
| abcd vs Kuma | 8–7 | 53.33% |
| abcd vs Shaheen | 9–5 | 64.29% |
| abcd vs Zafina | 5–5 | 50.00% |
| abcd vs Panda | 6–3 | 66.67% |
| abcd vs Raven | 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.