Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

bgopigames
b gopi
keerthi charish
bgopigames vs Dragunov 161–119 57.50%
bgopigames vs Bryan 130–125 50.98%
bgopigames vs Jin 122–114 51.69%
bgopigames vs Hwoarang 111–79 58.42%
bgopigames vs King 106–79 57.30%
bgopigames vs Law 96–72 57.14%
bgopigames vs Heihachi 72–96 42.86%
bgopigames vs Kazuya 77–72 51.68%
bgopigames vs Devil Jin 72–70 50.70%
bgopigames vs Feng 76–63 54.68%
bgopigames vs Yoshimitsu 69–64 51.88%
bgopigames vs Lee 69–59 53.91%
bgopigames vs Nina 61–63 49.19%
bgopigames vs Asuka 58–35 62.37%
bgopigames vs Paul 60–30 66.67%
bgopigames vs Lars 35–51 40.70%
bgopigames vs Reina 46–39 54.12%
bgopigames vs Leo 42–42 50.00%
bgopigames vs Lidia 41–41 50.00%
bgopigames vs Claudio 39–42 48.15%
bgopigames vs Steve 44–36 55.00%
bgopigames vs Victor 39–39 50.00%
bgopigames vs Jack-8 43–28 60.56%
bgopigames vs Clive 26–45 36.62%
bgopigames vs Shaheen 29–38 43.28%
bgopigames vs Xiaoyu 32–31 50.79%
bgopigames vs Alisa 31–29 51.67%
bgopigames vs Azucena 34–23 59.65%
bgopigames vs Eddy 20–36 35.71%
bgopigames vs Lili 27–24 52.94%
bgopigames vs Leroy 24–21 53.33%
bgopigames vs Jun 21–19 52.50%
bgopigames vs Zafina 24–15 61.54%
bgopigames vs Kuma 18–20 47.37%
bgopigames vs Raven 3–8 27.27%
bgopigames vs Panda 3–3 50.00%

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.