Name history
ICR|Awan | |
el manuk | |
ICR|Cloud | |
Sego ndog | |
Cloud | |
Broken Game | |
Awan Senja | |
Kera Kayang | |
Fvkin Spammer | |
ICR | Cloud | |
SINGO WAHING | |
GAME BERAK | |
Kera Sakit | |
Lebah Gantenk | |
RRQrajagula | |
Manji Cloud | |
fuc*in Spammer |
ICR|Awan vs Jin | 231–203 | 53.23% |
ICR|Awan vs Dragunov | 177–166 | 51.60% |
ICR|Awan vs Bryan | 145–169–2 | 46.18% |
ICR|Awan vs Kazuya | 148–162 | 47.74% |
ICR|Awan vs Reina | 157–127 | 55.28% |
ICR|Awan vs King | 125–119 | 51.23% |
ICR|Awan vs Steve | 113–120 | 48.50% |
ICR|Awan vs Hwoarang | 85–131 | 39.35% |
ICR|Awan vs Lili | 89–119 | 42.79% |
ICR|Awan vs Paul | 98–104 | 48.51% |
ICR|Awan vs Heihachi | 104–87 | 54.45% |
ICR|Awan vs Law | 99–82 | 54.70% |
ICR|Awan vs Devil Jin | 67–103 | 39.41% |
ICR|Awan vs Lars | 99–71 | 58.24% |
ICR|Awan vs Victor | 96–73 | 56.80% |
ICR|Awan vs Feng | 74–87 | 45.96% |
ICR|Awan vs Lee | 76–81 | 48.41% |
ICR|Awan vs Yoshimitsu | 85–66–4 | 56.29% |
ICR|Awan vs Jun | 63–82 | 43.45% |
ICR|Awan vs Xiaoyu | 51–67 | 43.22% |
ICR|Awan vs Alisa | 59–59 | 50.00% |
ICR|Awan vs Azucena | 59–59 | 50.00% |
ICR|Awan vs Nina | 47–66 | 41.59% |
ICR|Awan vs Asuka | 49–63 | 43.75% |
ICR|Awan vs Leo | 39–61 | 39.00% |
ICR|Awan vs Leroy | 40–57 | 41.24% |
ICR|Awan vs Claudio | 40–56 | 41.67% |
ICR|Awan vs Zafina | 36–54 | 40.00% |
ICR|Awan vs Clive | 42–47 | 47.19% |
ICR|Awan vs Eddy | 42–46 | 47.73% |
ICR|Awan vs Lidia | 37–49 | 43.02% |
ICR|Awan vs Jack-8 | 36–44 | 45.00% |
ICR|Awan vs Shaheen | 32–46 | 41.03% |
ICR|Awan vs Raven | 26–38 | 40.62% |
ICR|Awan vs Kuma | 23–34 | 40.35% |
ICR|Awan vs Panda | 15–17 | 46.88% |
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.