Name history
Samsara-K7J | |
DevilKirijo | |
Kiri | |
Bluejaykirijoki | |
Kadekirijo | |
Bluejaykirijo |
Samsara-K7J vs Kazuya | 144–128 | 52.94% |
Samsara-K7J vs Jin | 117–116 | 50.21% |
Samsara-K7J vs King | 120–104 | 53.57% |
Samsara-K7J vs Reina | 96–108 | 47.06% |
Samsara-K7J vs Bryan | 91–86 | 51.41% |
Samsara-K7J vs Law | 77–94 | 45.03% |
Samsara-K7J vs Steve | 70–68 | 50.72% |
Samsara-K7J vs Lee | 62–72 | 46.27% |
Samsara-K7J vs Hwoarang | 56–76 | 42.42% |
Samsara-K7J vs Lili | 43–79 | 35.25% |
Samsara-K7J vs Heihachi | 65–46 | 58.56% |
Samsara-K7J vs Lars | 49–54 | 47.57% |
Samsara-K7J vs Azucena | 42–61 | 40.78% |
Samsara-K7J vs Jun | 46–53 | 46.46% |
Samsara-K7J vs Dragunov | 41–53 | 43.62% |
Samsara-K7J vs Lidia | 49–33 | 59.76% |
Samsara-K7J vs Yoshimitsu | 20–57 | 25.97% |
Samsara-K7J vs Xiaoyu | 32–42 | 43.24% |
Samsara-K7J vs Eddy | 33–41 | 44.59% |
Samsara-K7J vs Victor | 37–36 | 50.68% |
Samsara-K7J vs Paul | 19–53 | 26.39% |
Samsara-K7J vs Jack-8 | 28–39 | 41.79% |
Samsara-K7J vs Leo | 30–37 | 44.78% |
Samsara-K7J vs Clive | 26–40 | 39.39% |
Samsara-K7J vs Feng | 28–37 | 43.08% |
Samsara-K7J vs Asuka | 23–38 | 37.70% |
Samsara-K7J vs Devil Jin | 29–31 | 48.33% |
Samsara-K7J vs Raven | 16–39 | 29.09% |
Samsara-K7J vs Claudio | 20–32 | 38.46% |
Samsara-K7J vs Leroy | 25–25 | 50.00% |
Samsara-K7J vs Alisa | 20–27 | 42.55% |
Samsara-K7J vs Nina | 14–29 | 32.56% |
Samsara-K7J vs Shaheen | 16–15 | 51.61% |
Samsara-K7J vs Kuma | 9–22 | 29.03% |
Samsara-K7J vs Zafina | 12–15 | 44.44% |
Samsara-K7J vs Panda | 9–2 | 81.82% |
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.