Name history
| skagcity.net | |
| мейксафир | |
| #SKAG #overdose | |
| MAKESUFFER | |
| спермоежка | |
| exe cute me | |
| dmtboy | |
| паранойя | |
| дропну=сосал | |
| скам онлайн | |
| свага плеер | |
| диклордефенил | |
| сливочная киса | |
| сейкмаффер | |
| make(me)suffer | |
| i can't ewgf |
| skagcity.net vs Kazuya | 167–166 | 50.15% |
| skagcity.net vs Fahkumram | 121–122 | 49.79% |
| skagcity.net vs Bryan | 107–126 | 45.92% |
| skagcity.net vs Jin | 121–102 | 54.26% |
| skagcity.net vs Reina | 117–93 | 55.71% |
| skagcity.net vs Heihachi | 102–92 | 52.58% |
| skagcity.net vs Dragunov | 84–89 | 48.55% |
| skagcity.net vs Steve | 92–67 | 57.86% |
| skagcity.net vs Hwoarang | 64–74 | 46.38% |
| skagcity.net vs Law | 64–73 | 46.72% |
| skagcity.net vs King | 63–69 | 47.73% |
| skagcity.net vs Lee | 58–69 | 45.67% |
| skagcity.net vs Paul | 59–60 | 49.58% |
| skagcity.net vs Lili | 62–56 | 52.54% |
| skagcity.net vs Devil Jin | 64–48 | 57.14% |
| skagcity.net vs Yoshimitsu | 58–47 | 55.24% |
| skagcity.net vs Armor King | 34–48 | 41.46% |
| skagcity.net vs Nina | 37–43 | 46.25% |
| skagcity.net vs Azucena | 45–31 | 59.21% |
| skagcity.net vs Asuka | 28–44 | 38.89% |
| skagcity.net vs Jun | 33–39 | 45.83% |
| skagcity.net vs Lidia | 36–32 | 52.94% |
| skagcity.net vs Clive | 38–26 | 59.38% |
| skagcity.net vs Feng | 29–34 | 46.03% |
| skagcity.net vs Lars | 28–32 | 46.67% |
| skagcity.net vs Eddy | 28–26 | 51.85% |
| skagcity.net vs Anna | 24–29 | 45.28% |
| skagcity.net vs Leroy | 33–16 | 67.35% |
| skagcity.net vs Claudio | 23–24 | 48.94% |
| skagcity.net vs Victor | 21–22 | 48.84% |
| skagcity.net vs Alisa | 14–28 | 33.33% |
| skagcity.net vs Leo | 22–19 | 53.66% |
| skagcity.net vs Raven | 15–25 | 37.50% |
| skagcity.net vs Jack-8 | 15–16 | 48.39% |
| skagcity.net vs Xiaoyu | 12–18 | 40.00% |
| skagcity.net vs Zafina | 10–18 | 35.71% |
| skagcity.net vs Miary Zo | 10–6 | 62.50% |
| skagcity.net vs Shaheen | 7–7 | 50.00% |
| skagcity.net vs Panda | 9–5 | 64.29% |
| skagcity.net vs Kuma | 2–5 | 28.57% |
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.