Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
へっどろっく

Ratings

へっどろっく vs Bryan 408–333 55.06%
へっどろっく vs Kazuya 339–278 54.94%
へっどろっく vs Dragunov 331–275 54.62%
へっどろっく vs King 335–261 56.21%
へっどろっく vs Paul 327–257 55.99%
へっどろっく vs Hwoarang 263–250 51.27%
へっどろっく vs Jin 278–231 54.62%
へっどろっく vs Lars 265–206 56.26%
へっどろっく vs Asuka 255–210 54.84%
へっどろっく vs Reina 254–206 55.22%
へっどろっく vs Steve 254–197 56.32%
へっどろっく vs Lili 234–212 52.47%
へっどろっく vs Nina 248–195 55.98%
へっどろっく vs Law 237–192 55.24%
へっどろっく vs Yoshimitsu 227–192 54.18%
へっどろっく vs Jun 209–168 55.44%
へっどろっく vs Azucena 190–178 51.63%
へっどろっく vs Feng 191–173 52.47%
へっどろっく vs Victor 146–190 43.45%
へっどろっく vs Heihachi 164–171 48.96%
へっどろっく vs Jack-8 173–145 54.40%
へっどろっく vs Lee 157–159 49.68%
へっどろっく vs Lidia 137–172 44.34%
へっどろっく vs Devil Jin 141–167 45.78%
へっどろっく vs Leo 164–135 54.85%
へっどろっく vs Xiaoyu 158–139 53.20%
へっどろっく vs Alisa 126–167 43.00%
へっどろっく vs Claudio 128–147 46.55%
へっどろっく vs Clive 118–157 42.91%
へっどろっく vs Eddy 88–138 38.94%
へっどろっく vs Leroy 107–107 50.00%
へっどろっく vs Fahkumram 102–88 53.68%
へっどろっく vs Shaheen 83–103 44.62%
へっどろっく vs Zafina 108–70 60.67%
へっどろっく vs Anna 88–89 49.72%
へっどろっく vs Armor King 100–71 58.48%
へっどろっく vs Raven 75–93 44.64%
へっどろっく vs Kuma 49–74 39.84%
へっどろっく vs Miary Zo 45–65 40.91%
へっどろっく vs Panda 50–54 48.08%

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.