Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Alchemist
DynaMight#1Hero
I am hope.
Merlin'sbeard
Dreamlord
JoyBoy
Joyboy
Alchemist vs Kazuya 99–107 48.06%
Alchemist vs King 92–97 48.68%
Alchemist vs Bryan 98–85 53.55%
Alchemist vs Jin 105–77 57.69%
Alchemist vs Lidia 79–100 44.13%
Alchemist vs Steve 70–97 41.92%
Alchemist vs Reina 79–79 50.00%
Alchemist vs Clive 57–64 47.11%
Alchemist vs Heihachi 52–63 45.22%
Alchemist vs Law 49–64 43.36%
Alchemist vs Paul 58–35 62.37%
Alchemist vs Hwoarang 42–51 45.16%
Alchemist vs Dragunov 45–48 48.39%
Alchemist vs Asuka 46–45 50.55%
Alchemist vs Yoshimitsu 29–44 39.73%
Alchemist vs Feng 33–38 46.48%
Alchemist vs Leo 39–32 54.93%
Alchemist vs Jun 26–45 36.62%
Alchemist vs Devil Jin 31–36 46.27%
Alchemist vs Lars 33–34 49.25%
Alchemist vs Lili 29–36 44.62%
Alchemist vs Leroy 37–27 57.81%
Alchemist vs Lee 28–30 48.28%
Alchemist vs Azucena 29–23 55.77%
Alchemist vs Jack-8 21–29 42.00%
Alchemist vs Eddy 26–24 52.00%
Alchemist vs Claudio 20–28 41.67%
Alchemist vs Raven 19–25 43.18%
Alchemist vs Nina 20–22 47.62%
Alchemist vs Xiaoyu 15–24 38.46%
Alchemist vs Alisa 16–23 41.03%
Alchemist vs Kuma 17–22 43.59%
Alchemist vs Victor 22–17 56.41%
Alchemist vs Shaheen 17–12 58.62%
Alchemist vs Panda 7–13 35.00%
Alchemist vs Zafina 7–10 41.18%

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.