Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
きりんちゃん

Ratings

きりんちゃん vs Bryan 299–288 50.94%
きりんちゃん vs King 301–199 60.20%
きりんちゃん vs Dragunov 226–242 48.29%
きりんちゃん vs Hwoarang 215–245 46.74%
きりんちゃん vs Kazuya 228–205 52.66%
きりんちゃん vs Steve 222–204 52.11%
きりんちゃん vs Asuka 184–242 43.19%
きりんちゃん vs Jin 228–191 54.42%
きりんちゃん vs Lili 223–187 54.39%
きりんちゃん vs Paul 199–200 49.87%
きりんちゃん vs Yoshimitsu 206–191 51.89%
きりんちゃん vs Reina 179–217 45.20%
きりんちゃん vs Lars 210–173 54.83%
きりんちゃん vs Heihachi 154–184 45.56%
きりんちゃん vs Jun 179–152 54.08%
きりんちゃん vs Law 174–150 53.70%
きりんちゃん vs Feng 147–165–1 47.12%
きりんちゃん vs Victor 169–142 54.34%
きりんちゃん vs Azucena 166–136 54.97%
きりんちゃん vs Eddy 151–148 50.50%
きりんちゃん vs Devil Jin 141–157 47.32%
きりんちゃん vs Alisa 140–156 47.30%
きりんちゃん vs Lee 150–146 50.68%
きりんちゃん vs Xiaoyu 133–141 48.54%
きりんちゃん vs Nina 151–122 55.31%
きりんちゃん vs Leroy 132–133 49.81%
きりんちゃん vs Jack-8 137–124 52.49%
きりんちゃん vs Claudio 123–133 48.05%
きりんちゃん vs Raven 138–117 54.12%
きりんちゃん vs Kuma 144–92 61.02%
きりんちゃん vs Clive 102–134 43.22%
きりんちゃん vs Shaheen 110–122–1 47.41%
きりんちゃん vs Leo 121–108 52.84%
きりんちゃん vs Zafina 131–91 59.01%
きりんちゃん vs Lidia 79–118 40.10%
きりんちゃん vs Anna 60–66 47.62%
きりんちゃん vs Panda 70–46 60.34%
きりんちゃん vs Fahkumram 27–28 49.09%
きりんちゃん vs Armor King 16–23 41.03%
きりんちゃん vs Miary Zo 9–15 37.50%

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.